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Rafid Agent Intelligence

REMOTE · API.RAFIDSYSTEM.COM · SCANNED SEP 29

Decision intelligence for AI agents: due diligence, risk, property, documents, finance and more.

−6 this week 64 Trust /100

Recent critical change

Authorization (29 Sept 2026). See the changelog before you install this server.

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security63
Transport & Reachability100
Schema Quality & AI Usability49
  • AI-judged instruction clarity (fair).Partial
  • Context-footprint check failed: tool/resource definitions use about 9763 tokens (~139/item across 70 items; 70 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
  • Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage79
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 26% of tool parameters carry a description.Partial
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 70 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 70 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

How do I install the Rafid Agent Intelligence MCP server?

Rafid Agent Intelligence is a hosted endpoint at https://api.rafidsystem.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · api.rafidsystem.com

# add to Claude Code
claude mcp add --transport http iabdullahm-rafid-agent-api 'https://api.rafidsystem.com/mcp'
// .cursor/mcp.json
{
  "mcpServers": {
    "iabdullahm-rafid-agent-api": {
      "url": "https://api.rafidsystem.com/mcp"
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "iabdullahm-rafid-agent-api": {
      "type": "http",
      "url": "https://api.rafidsystem.com/mcp"
    }
  }
}
# ~/.codex/config.toml
[mcp_servers.iabdullahm-rafid-agent-api]
url = "https://api.rafidsystem.com/mcp"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "iabdullahm-rafid-agent-api": {
      "type": "remote",
      "url": "https://api.rafidsystem.com/mcp",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add iabdullahm-rafid-agent-api --url 'https://api.rafidsystem.com/mcp' --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  iabdullahm-rafid-agent-api:
    url: "https://api.rafidsystem.com/mcp"
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "iabdullahm-rafid-agent-api": {
      "Transport": "http",
      "Url": "https://api.rafidsystem.com/mcp"
    }
  }
}
# add to Vellum
assistant mcp add iabdullahm-rafid-agent-api -t streamable-http -u 'https://api.rafidsystem.com/mcp'
// mcp.json
{
  "mcpServers": {
    "iabdullahm-rafid-agent-api": {
      "type": "http",
      "url": "https://api.rafidsystem.com/mcp"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 29 Sept 26 +39
    • Authorization: unverified → fail ▼ critical
    • Injection markers: unverified → pass ▲ security
    • Transport: fail → pass ▲ security
    • New tool “ai_call_agent”, which the server declares destructive security
    • New tool “appointment_call_agent”, which the server declares destructive security
    • New tool “news_video_generate”, which the server declares destructive security
    • New tool “product_promo_video”, which the server declares destructive security
    • New tool “social_video_generate”, which the server declares destructive security
    • New tool “voice_lead_qualifier”, which the server declares destructive security
    • New tool “website_download”, which the server declares destructive security
    • Tool “business_risk_score” rewrote its description, which is the text the model reads security
    • Tool “company_reputation_check” rewrote its description, which is the text the model reads security
    • Tool “document_facts_extract” rewrote its description, which is the text the model reads security
    • Tool “due_diligence_oman_company” rewrote its description, which is the text the model reads security
    • Tool “invoice_anomaly_check” rewrote its description, which is the text the model reads security
    • Tool coverage: 48% → 26% ▼ functional
    • Endpoint reachability: not serving MCP → reachable ▲ functional
    • Schema quality: 207 → 139 ▲ functional
    • Tool coverage: unverified → 100 ▲ functional
    • Stability: unverified → 0.23 ▲ functional
    • MCP protocol: unverified → pass ▲ functional
    • Schema quality: good → fair functional
    • New tool “break_even_calculator” functional
    • New tool “business_90_day_growth_plan” functional
    • New tool “business_idea_generator” functional
    • New tool “business_idea_validate” functional
    • New tool “business_model_builder” functional
    • New tool “business_profitability_analysis” functional
    • New tool “business_risk_check” functional
    • New tool “business_validation_plan” functional
    • New tool “candidate_shortlist_score” functional
    • New tool “company_due_diligence” functional
    • New tool “company_risk_batch” functional
    • New tool “company_risk_report” functional
    • New tool “competitor_analysis” functional
    • New tool “content_plan_generator” functional
    • New tool “cv_improve” functional
    • New tool “cv_job_match” functional
    • New tool “cv_score” functional
    • New tool “extract_candidate_profile” functional
    • New tool “final_business_plan_builder” functional
    • New tool “first_10_customers_plan” functional
    • New tool “generate_job_profile” functional
    • New tool “ideal_customer_profile” functional
    • New tool “monthly_business_financial_report” functional
    • New tool “offer_builder” functional
    • New tool “oman_business_launch_advisor” functional
    • New tool “oman_business_launch_plan” functional
    • New tool “oman_business_plan_generator” functional
    • New tool “oman_go_to_market_plan” functional
    • New tool “oman_small_business_guide” functional
    • New tool “portfolio_exposure_check” functional
    • New tool “portfolio_screen” functional
    • New tool “procurement_vendor_shortlist” functional
    • New tool “product_pricing_calculator” functional
    • New tool “property_investment_report” functional
    • New tool “sales_response_builder” functional
    • New tool “startup_cost_estimate” functional
    • New tool “startup_readiness_score” functional
    • New tool “strategy_performance_analysis” functional
    • New tool “supplier_due_diligence_report” functional
    • New tool “trade_log_analysis” functional
    • New tool “trade_risk_score” functional
    • New tool “website_audit” functional
    • New tool “website_project_estimate” functional
    • New tool “whatsapp_business_setup” functional
  • 28 Sept 26 0
    • Authorization: Authorisation not yet verified: we couldn't confirm whether this endpoint requires it. security
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 27 Sept 26 −46
    • Endpoint reachability: reachable → not serving MCP ▼ security
    • Stability: 0.13 → unverified ▼ security
    • Tool safety: pass → unverified ▼ security
    • Authorization: partial → unverified ▼ security
    • Transport: pass → fail ▼ security
    • Capabilities: pass → unverified ▼ functional
    • Tool coverage: 100 → unverified ▼ functional
    • First check of Schema quality: unverified functional
  • 26 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.

  • 25 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 24 Sept 26 −1
    • Tool “analyze_oman_property” rewrote its description, which is the text the model reads security
    • Schema quality: 120 → 207 ▼ functional
    • Tool coverage: 16% → 48% ▲ functional
    • New tool “business_risk_score” functional
    • New tool “document_facts_extract” functional
    • New tool “invoice_anomaly_check” functional
    • New tool “preview_capability” functional
    • New tool “shipping_cost_estimate” functional
    • New tool “vehicle_value_estimate” functional
  • 23 Sept 26 +1
    • Schema quality: pass → fail ▼ functional
    • Tool coverage: 6% → 16% ▲ functional
    • Stability: unverified → 0.03 ▲ functional
    • New tool “analyze_company_risk” functional
    • New tool “company_reputation_check” functional
    • New tool “find_companies” functional
    • New tool “oman_supplier_check” functional
    • New tool “research_company” functional
  • 22 Sept 26 70

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 29 Sept 2026 · Probed https://api.rafidsystem.com/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=api.rafidsystem.com CN=YR2,O=Let's Encrypt,C=US 21 Sept 2026 20 Dec 2026 RSA 2048 SHA256-RSA 641662319b094aa38dc74d6c9dddac9b08e
SANs: api.rafidsystem.com
CN=YR2,O=Let's Encrypt,C=US (CA) CN=Root YR,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 RSA 2048 SHA256-RSA 4ebd24947e24d394802d84a52fd5b319
CN=Root YR,O=ISRG,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 RSA 4096 SHA256-RSA f24b6d17f9d9ad7cb1c9fea78782699f

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of api.rafidsystem.com. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
rafidsystem.com. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Header Value
strict-transport-security max-age=63072000
x-content-type-options nosniff
x-frame-options DENY
referrer-policy no-referrer

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://api.rafidsystem.com/mcp Verified 200
http (plaintext) http://api.rafidsystem.com/mcp HTTPS enforced 308 https://api.rafidsystem.com/mcp
MCP tools · 70 exposed · ~9,763 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
ai_call_agent ~100

Initiate an authorized outbound AI telephone call and return a call identifier immediately; completion and duration arrive asynchronously. Use when an authorized agent must contact a customer by telephone for a lawful, consent-aware objective and retrieve a structured result later.

NameTypeReqDescription
contextobject––
languagestringyes–
maxDurationSecondsinteger––
objectivestringyes–
phoneNumberstringyes–
safetyobject––
NameTypeReqDescription
answeredbooleanyes–
callIdstringyes–
completedAt–yes–
createdAtstringyes–
durationSecondsintegeryes–
nextActionstring|nullyes–
outcomestring|nullyes–
statusstringyes–
structuredFactsobjectyes–
summarystring|nullyes–
transcriptarrayyes–

No examples provided.

analyze_company_risk ~106

Gather evidence-tiered risk signals for a company across corporate identity, domain, website, sanctions-list name-matching, adverse news, reputation and legal/regulatory signals — never a safe/unsafe verdict. Use when an agent needs risk evidence to weigh before a transaction, partnership, or onboarding decision — not a substitute for compliance/legal sign-off.

NameTypeReqDescription
checksarray––
companystring––
countrystring––
websitestring––
NameTypeReqDescription
cachedbooleanyes–
checksobjectyes–
companyobjectyes–
confidencenumberyes–
dataModestringyes–
limitationsarrayyes–
riskSignalsarrayyes–
sourcesarrayyes–

No examples provided.

analyze_oman_company ~82

Generate deterministic commercial-intelligence signals, risk flags and positive signals for one Oman company by companyId, for a stated evaluation purpose. Use when an agent needs to assess whether an Oman company looks like a serious, established operating business — as a supplier, customer, partner or investment target.

NameTypeReqDescription
companyIdstringyes–
purposestringyes–
NameTypeReqDescription
commercialSignalsobjectyes–
companyIdstringyes–
confidencenumberyes–
confidenceReasonsarrayyes–
dataCoverageobjectyes–
positiveSignalsarrayyes–
recommendedChecksarrayyes–
riskFlagsarrayyes–
sourcesarrayyes–

No examples provided.

analyze_oman_property ~176

Analyze an Oman residential property using local rental comparables, market context and investment metrics, including partner-supplied historical and recent Al Mouj Muscat property sales records with provenance and freshness metadata when coverage is available. Use when an agent needs Oman-specific rental, yield, sale price positioning or operating-cost analysis, especially for an Al Mouj Muscat property.

NameTypeReqDescription
areastringyes–
askingPriceOMRnumberyes–
bathroomsinteger––
bedroomsinteger––
furnishedstring––
governoratestringyes–
optionalAnnualMaintenanceOMRnumber––
optionalAnnualServiceChargeOMRnumber––
propertyTypestringyes–
sizeSqmnumberyes–
wilayatstring––
NameTypeReqDescription
assumptionsarrayyes–
comparablesSummary–yes–
confidenceobjectyes–
currencystringyes–
dataQualityobjectyes–
historicalSalesContextobjectyes–
insufficientMarketDatabooleanyes–
investmentobjectyes–
marketobjectyes–
normalizedLocationobjectyes–
officialMarketContextobjectyes–
pricePositionobjectyes–
provenancearrayyes–
riskFlagsarrayyes–
subjectPropertyobjectyes–
unavailableOutputsarrayyes–

No examples provided.

analyze_property ~116

Calculate gross/net rental yield, income, operating costs and simple payback in OMR. Calculations only. Use when an agent needs financial metrics (yield, income, payback) for a single property.

NameTypeReqDescription
annualRentnumberyes–
maintenancenumber–Legacy alias for maintenanceCost; supply only one
maintenanceCostnumber––
otherAnnualCostsnumber––
propertyValuenumberyes–
serviceChargenumber––
vacancyRatePctnumber––
NameTypeReqDescription
annualNetIncomenumberyes–
annualOperatingCostnumberyes–
annualOperatingCostsnumberyes–
annualRentnumberyes–
currencystringyes–
effectiveAnnualRentnumberyes–
grossAnnualIncomenumberyes–
grossYieldnumberyes–
grossYieldPctnumberyes–
netYieldnumberyes–
netYieldPctnumberyes–
notestringyes–
paybackYearsnumber|nullyes–
propertyValuenumberyes–

No examples provided.

appointment_call_agent ~121

Place an asynchronous appointment call to propose, book, confirm, reschedule or cancel a slot through a calendar-provider abstraction. Use when an authorized agent must coordinate a customer appointment by telephone and return a machine-readable scheduling result.

NameTypeReqDescription
actionstringyes–
appointmentTypestringyes–
availableSlotsarray––
contextobject––
languagestringyes–
maxDurationSecondsinteger––
phoneNumberstringyes–
safetyobject––
timezonestringyes–
NameTypeReqDescription
calendarEventIdstring|nullyes–
callIdstringyes–
confirmedSlot–yes–
customerNotesstring|nullyes–
statusstringyes–

No examples provided.

break_even_calculator ~126

Calculate break-even and target-profit units from supplied fixed and variable costs. Use when an agent needs the Creative Techno book framework for break even calculator.

NameTypeReqDescription
languagestring––
monthlyFixedCostsOMRnumberyesOMR; calculations use integer baisa internally
sellingPriceOMRnumberyesOMR; calculations use integer baisa internally
targetProfitOMRnumber–OMR; calculations use integer baisa internally
variableCostPerUnitOMRnumberyesOMR; calculations use integer baisa internally
NameTypeReqDescription
frameworkSourceobjectyes–
languagestringyes–
resultobjectyes–

No examples provided.

business_90_day_growth_plan ~56

Generate the book's three-month post-launch goals, milestones, KPIs and review gates. Use when an agent needs the Creative Techno book framework for business 90 day growth plan.

NameTypeReqDescription
languagestring––
NameTypeReqDescription
frameworkSourceobjectyes–
languagestringyes–
resultobjectyes–

No examples provided.

business_idea_generator ~146

Generate candidate ideas from user-observed problems and constraints; does not claim market demand. Use when an agent needs the Creative Techno book framework for business idea generator.

NameTypeReqDescription
availableHoursPerWeeknumber––
budgetOMRnumber–OMR; calculations use integer baisa internally
citystring––
customerstring––
languagestring––
observedProblemsarray––
paymentEvidencearray––
preferredBusinessModelstring––
problemstring––
skillsarray––
solutionstring––
startupDifficultystring––
NameTypeReqDescription
frameworkSourceobjectyes–
languagestringyes–
resultobjectyes–

No examples provided.

business_idea_validate ~95

Evaluate problem, customer, solution and willingness-to-pay evidence; does not independently verify live demand. Use when an agent needs the Creative Techno book framework for business idea validate.

NameTypeReqDescription
customerstringyes–
ideastringyes–
languagestring––
paymentEvidencearray––
problemstringyes–
prospectsarray––
solutionstringyes–
NameTypeReqDescription
frameworkSourceobjectyes–
languagestringyes–
resultobjectyes–

No examples provided.

business_model_builder ~118

Build the book's ten-element one-page business map from supplied inputs. Use when an agent needs the Creative Techno book framework for business model builder.

NameTypeReqDescription
channelsarrayyes–
costsarray––
customerstringyes–
keyActivitiesarray––
languagestring––
pricingstringyes–
problemstringyes–
productstringyes–
revenuestringyes–
suppliersPartnersarray––
valuestringyes–
NameTypeReqDescription
frameworkSourceobjectyes–
languagestringyes–
resultobjectyes–

No examples provided.

business_profitability_analysis ~172

Calculate revenue, gross profit, net profit and margins from monthly supplied data. Use when an agent needs the Creative Techno book framework for business profitability analysis.

NameTypeReqDescription
languagestring––
marketingOMRnumber–OMR; calculations use integer baisa internally
monthlyFixedCostsOMRnumberyesOMR; calculations use integer baisa internally
otherExpensesOMRnumber–OMR; calculations use integer baisa internally
priorRevenueOMRnumber–OMR; calculations use integer baisa internally
sellingPriceOMRnumberyesOMR; calculations use integer baisa internally
unitsSoldnumberyes–
variableCostPerUnitOMRnumberyesOMR; calculations use integer baisa internally
NameTypeReqDescription
frameworkSourceobjectyes–
languagestringyes–
resultobjectyes–

No examples provided.

business_risk_check ~63

Diagnose the book's common mistakes from supplied signals; no unsupported probabilities are assigned. Use when an agent needs the Creative Techno book framework for business risk check.

NameTypeReqDescription
businessstringyes–
languagestring––
signalsobject––
NameTypeReqDescription
frameworkSourceobjectyes–
languagestringyes–
resultobjectyes–

No examples provided.

business_risk_score ~506

Assess the risk of doing business with a company in any country using corporate, financial, compliance, reputation, operational and digital evidence. Returns a 0–100 risk score (100 = highest detected risk), a separate 0–1 confidence, per-category component scores, evidence-backed risk flags and positive signals, sanctions/restricted-party screening with match strength, and machine-readable due-diligence guidance (proceed / proceed_with_monitoring / enhanced_due_diligence / manual_review / avoid_automated_transaction). Use before onboarding a supplier or vendor, paying a new business, entering a B2B transaction, approving a marketplace seller, extending credit or insurance, or recommending a company — whenever an autonomous agent needs structured, evidence-backed business due diligence it cannot reliably generate from its own model knowledge. Full execution is paid per call via x402; an unpaid MCP call returns payment instructions and a free qualification preview.

NameTypeReqDescription
addressstring–Street address as supplied by the company (checked against the registered address when the registry publishes one).
citystring–City of registration/headquarters (helps disambiguation).
companyNamestringyesCompany name as known to the caller (trading or legal name). Required.
countrystring–Country of registration/operation — ISO 3166 alpha-2 (e.g. GB), alpha-3 or English name. Strongly recommended: prevents same-name companies in other countries from being confused.
includeDigitalSignalsboolean–Default true. false skips website, domain-registration and threat-feed checks (digital coverage becomes 'none').
includeNewsboolean–Default true. false skips news, customer-review and regulator web searches (faster, cheaper; reputation coverage becomes 'none').
industrystring–Claimed industry/business activity (checked for consistency with the company's public presence; never scored by itself).
knownAliasesarray–Other names the company trades or traded under (max 5). Screened against sanctions/restricted-party lists and used to attribute media.
leistring–Legal Entity Identifier (ISO 17442), if known — decisive for entity resolution.
registrationNumberstring–Company registration number in its home registry (e.g. UK Companies House number, Oman CR number). The strongest disambiguator.
websitestring–Company website or domain, e.g. https://example.com (normalized to its https origin).

Structured output declared, but exposes no named fields.

No examples provided.

business_validation_plan ~94

Create the book's structured seven-day validation workflow; execution and evidence collection remain with the caller. Use when an agent needs the Creative Techno book framework for business validation plan.

NameTypeReqDescription
customerstringyes–
ideastringyes–
languagestring––
paymentEvidencearray––
problemstringyes–
prospectsarray––
solutionstringyes–
NameTypeReqDescription
frameworkSourceobjectyes–
languagestringyes–
resultobjectyes–

No examples provided.

candidate_shortlist_score ~78

Score up to 100 supplied candidate profiles against one job profile with auditable matched requirements, gaps and confidence; no hiring decision is emitted. Use after extracting multiple candidate profiles when an agent needs transparent batch comparison against one job.

NameTypeReqDescription
candidatesarrayyes–
job_profileobjectyes–
max_candidatesinteger––
NameTypeReqDescription
candidatesarrayyes–
jobobjectyes–
scoring_methodologyobjectyes–

No examples provided.

company_due_diligence ~164

Perform company due diligence for onboarding, procurement, partnership, investment or customer-risk decisions: resolve the entity, evaluate registration, website identity, sanctions, adverse news, legal, financial and reputation signals, then return a deterministic risk assessment with evidence and a machine-actionable next action. Use when an autonomous agent must decide whether to continue doing business with a company and what verification or escalation should happen next.

NameTypeReqDescription
checksobject––
companystringyesCompany legal or trading name.
countrystring––
depthstring––
domainstring–Public company domain, without credentials or a private/localhost host.
leistring––
purposestring––
registrationNumberstring––
NameTypeReqDescription
adverseMediaCheckobjectyes–
businessRiskCheckobjectyes–
checksobjectyes–
companyobjectyes–
confidencenumberyes–
coverageobjectyes–
decisionobjectyes–
depthstringyes–
entityMatchobjectyes–
entityResolutionobjectyes–
evidencearrayyes–
financialSignalsobjectyes–
generatedAtstringyes–
legalSignalsarrayyes–
managementarrayyes–
negativeNewsobjectyes–
providersarrayyes–
purposestringyes–
reasonCodesarrayyes–
recommendationstringyes–
redFlagsarrayyes–
registrationobjectyes–
registrationCheckobjectyes–
reputationobjectyes–
reputationCheckobjectyes–
riskBreakdownobjectyes–
riskLevel–yes–
riskScore–yes–
sanctionsobjectyes–
sanctionsCheckobjectyes–
sourcesarrayyes–
successbooleanyes–
websiteSignalsobjectyes–

No examples provided.

company_reputation_check ~331

Investigate the public reputation and commercial risk signals of a company in any country — identity consistency against official registries, sanctions-list name screening, adverse media (with legal stage: allegation vs. outcome), customer reputation, online presence, business stability and domain signals — returning evidence-linked scores with a separate confidence score. Use this capability when an AI agent needs to assess a company's public reputation, credibility, adverse-media exposure, sanctions signals, customer reputation, online presence, identity consistency and other publicly observable commercial risk indicators before entering a business relationship. Full execution is paid per call via x402; an unpaid MCP call returns payment instructions and a free qualification preview.

NameTypeReqDescription
citystring–City of registration/headquarters (helps disambiguation).
companyNamestringyesCompany name as known to the caller (trading or legal name).
countrystring–Country of registration/operation — ISO alpha-2 (e.g. GB), alpha-3 or English name. Strongly recommended to avoid same-name confusion.
domainstring–Company domain if no website URL is known, e.g. example.com.
industrystring–Industry/sector (context only; not used to score).
legalNamestring–Full registered legal name, if different from companyName.
leistring–Legal Entity Identifier (ISO 17442), if known.
registrationNumberstring–Company registration number in its home registry (e.g. UK Companies House number).
websitestring–Company website, e.g. https://example.com.

Structured output declared, but exposes no named fields.

No examples provided.

company_risk_batch ~67

Assess 1–100 companies from structured rows or CSV in one bounded batch, preserving per-row risk results and provider failures. Use when an agent needs to screen many companies efficiently instead of making separate risk-report calls.

NameTypeReqDescription
companiesarray––
csvstring––
NameTypeReqDescription
limitationsarrayyes–
result–yes–
workflowstringyes–

No examples provided.

company_risk_report ~254

Combine evidence-first public reputation analysis with structured business-risk scoring into one company risk report. Use when an agent needs a consolidated company risk report with both evidence and an explicit risk model.

NameTypeReqDescription
citystring–City of registration/headquarters (helps disambiguation).
companyNamestringyesCompany name as known to the caller (trading or legal name).
countrystring–Country of registration/operation — ISO alpha-2 (e.g. GB), alpha-3 or English name. Strongly recommended to avoid same-name confusion.
domainstring–Company domain if no website URL is known, e.g. example.com.
includeDigitalSignalsboolean––
includeNewsboolean––
industrystring–Industry/sector (context only; not used to score).
legalNamestring–Full registered legal name, if different from companyName.
leistring–Legal Entity Identifier (ISO 17442), if known.
registrationNumberstring–Company registration number in its home registry (e.g. UK Companies House number).
websitestring–Company website, e.g. https://example.com.
NameTypeReqDescription
limitationsarrayyes–
result–yes–
workflowstringyes–

No examples provided.

compare_properties ~62

Compare 2–20 uniquely named properties in OMR using the same metrics; order by rounded net yield, preserving input order for ties. Use when an agent must rank or choose between 2-20 candidate properties by net yield.

NameTypeReqDescription
propertiesarrayyes–
NameTypeReqDescription
propertiesarrayyes–
sortedByNetYieldarrayyes–

No examples provided.

competitor_analysis ~58

Compare 3-20 user-supplied competitors; does not discover or verify competitors without live evidence. Use when an agent needs the Creative Techno book framework for competitor analysis.

NameTypeReqDescription
competitorsarrayyes–
languagestring––
NameTypeReqDescription
frameworkSourceobjectyes–
languagestringyes–
resultobjectyes–

No examples provided.

content_plan_generator ~95

Generate a 14- or 30-day structured content calendar from an offer and selected channels. Use when an agent needs the Creative Techno book framework for content plan generator.

NameTypeReqDescription
businessstringyes–
channelsarrayyes–
days–––
icpstringyes–
languagestring––
offerstringyes–
postingFrequencyPerWeekintegeryes–
NameTypeReqDescription
frameworkSourceobjectyes–
languagestringyes–
resultobjectyes–

No examples provided.

cv_improve ~71

Produce evidence-grounded CV improvement recommendations, optional job-specific guidance and ATS actions without inventing candidate facts. Use when a candidate or recruitment agent needs actionable CV improvement guidance.

NameTypeReqDescription
candidate_profile–––
cv_textstring––
modestring––
target_job_description–––
NameTypeReqDescription
ats_recommendationsarrayyes–
current_scorenumberyes–
experience_recommendationsarrayyes–
job_specific_recommendationsarrayyes–
keywords_to_considerarrayyes–
priority_actionsarrayyes–
rewrite_examplesarrayyes–
skill_recommendationsarrayyes–
summary_recommendationsarrayyes–
warningsarrayyes–

No examples provided.

cv_job_match ~75

Compare a candidate profile or CV with a job profile or description using normalized skills, experience evidence and transparent weighted scoring. Use when an agent needs evidence-based candidate-to-job matching for one candidate.

NameTypeReqDescription
candidate_profile–––
cv_textstring––
job_descriptionstring––
job_profile–––
NameTypeReqDescription
category_scoresobjectyes–
confidencenumberyes–
decision_supportobjectyes–
experience_analysisobjectyes–
explanationstringyes–
gapsarrayyes–
match_scorenumberyes–
risk_flagsarrayyes–
skill_matcharrayyes–
transferable_skillsarrayyes–

No examples provided.

cv_score ~70

Score the completeness, clarity and ATS-readability of a CV on a transparent 0–100 scale; this is not job matching. Use when an agent needs general CV quality feedback independent of a specific job.

NameTypeReqDescription
candidate_profile–––
cv_textstring––
target_role–––
NameTypeReqDescription
confidencenumberyes–
dimensionsobjectyes–
high_priority_improvementsarrayyes–
missing_sectionsarrayyes–
scorenumberyes–
strengthsarrayyes–
warningsarrayyes–
weaknessesarrayyes–

No examples provided.

document_facts_extract ~507

Extract structured, evidence-backed facts, entities, dates, amounts, obligations, deadlines and risk indicators from business documents (contracts, invoices, purchase orders, quotations, tenders/RFPs, leases, policies, financial reports, legal documents, CVs, company profiles) from any country. Every fact carries a 0–1 extraction confidence and source evidence (verbatim excerpt, character offsets, section, and the page when the document has real pages); dates, amounts, currencies, percentages and durations are normalized only when unambiguous. Accepts an https documentUrl (PDF with a text layer, DOCX, HTML, text) or extracted text, up to 25 pages. Use when an agent needs reliable machine-readable facts from a contract, invoice, tender, lease, purchase order, policy, financial report or other business document instead of a general summary. Full execution is paid per call via x402; an unpaid MCP call returns payment instructions and a free qualification preview.

NameTypeReqDescription
documentTypestring–Document type, or "auto" (default) to classify automatically. Selects which facts are prioritized.
documentUrlstring–https URL of the document (PDF with a text layer, DOCX, HTML, plain text, Markdown or CSV; max 25 pages / 15 MB). Fetched once, server-side, with SSRF protection; private/internal addresses are rejec…
includeSourceEvidenceboolean–Default true. false omits sourceEvidence objects to reduce response size (facts remain the same).
languagestring–Document language (ISO 639-1, e.g. en, ar, fr). Detected automatically when omitted.
modestring–"auto" (default): full extraction plus any requestedFacts. "requested_only": return only the requested facts (requires requestedFacts).
requestedFactsarray–Specific facts to establish, in plain language (max 20), e.g. ["contract expiry date", "termination notice period", "annual contract value"]. Each is answered in requestedFacts with status found / no…
textstring–The document's already-extracted text (max 200,000 characters; longer text is rejected with DOCUMENT_TOO_LARGE, never truncated). Separate pages with form-feed characters (\f) to get page-level evide…

Structured output declared, but exposes no named fields.

No examples provided.

due_diligence_oman_company ~132

Perform structured commercial due diligence on one Oman company by companyId ahead of a stated transaction, returning identity verification, risk assessment, a prioritized due-diligence checklist and known information gaps. Use before awarding a contract, entering a partnership, extending credit or investing, when a structured, source-backed due-diligence pass is needed ahead of the decision. Full execution is paid per call via x402; an unpaid MCP call returns payment instructions and a free qualification preview.

NameTypeReqDescription
companyIdstringyes–
transactionTypestringyes–
transactionValueOMRnumber––

Structured output declared, but exposes no named fields.

No examples provided.

estimate_maintenance ~105

Estimate an annual maintenance reserve in OMR from value, age and unit count with explicit optional assumptions. Uncalibrated heuristic, not a survey. Use when an agent needs an annual maintenance reserve estimate for a property, not an actual inspection.

NameTypeReqDescription
ageYearsnumber––
annualRentnumber–Legacy input; unused in this value-based estimate
assumptionsobject––
propertyValuenumberyes–
unitsinteger––
NameTypeReqDescription
assumptionsUsedobjectyes–
currencystringyes–
estimatedAnnualMaintenancenumberyes–
maintenancePercentagenumberyes–
methodologystringyes–
monthlyReservenumberyes–

No examples provided.

extract_candidate_profile ~84

Normalize an English, Arabic or mixed-language CV into a machine-readable candidate profile using only stated professional evidence; protected personal attributes are ignored. Use before scoring or matching a CV when an agent needs reusable structured candidate evidence.

NameTypeReqDescription
cv_textstring––
document_urlstring––
languagestring––
target_schema_versionstring––
NameTypeReqDescription
candidateobjectyes–
candidate_keywordsarrayyes–
career_progressionarrayyes–
certificationsarrayyes–
educationarrayyes–
evidence_qualityobjectyes–
experiencearrayyes–
industriesarrayyes–
languagesarrayyes–
management_experienceboolean|nullyes–
projectsarrayyes–
recent_rolestring|nullyes–
seniority_estimatestring|nullyes–
skillsarrayyes–
total_experience_yearsnumber|nullyes–

No examples provided.

final_business_plan_builder ~217

Assemble the book's final project plan from supplied business and financial inputs. Use when an agent needs the Creative Techno book framework for final business plan builder.

NameTypeReqDescription
breakEvenUnitsintegeryes–
businessNamestringyes–
competitorsarray––
customerstringyes–
differentiationstringyes–
ideastringyes–
immediateNextStepstringyes–
languagestring––
marketingChannelsarrayyes–
monthlySalesTargetintegeryes–
problemstringyes–
productstringyes–
profitGoalOMRnumberyesOMR; calculations use integer baisa internally
salesChannelsarrayyes–
sellingPriceOMRnumberyesOMR; calculations use integer baisa internally
startupCapitalOMRnumberyesOMR; calculations use integer baisa internally
unitCostOMRnumberyesOMR; calculations use integer baisa internally
NameTypeReqDescription
frameworkSourceobjectyes–
languagestringyes–
resultobjectyes–

No examples provided.

find_companies ~130

Discover companies from public web sources matching an industry, location, size and/or keyword criteria, returning cited candidate companies (never fabricated) with a stated confidence score. Use when an agent needs to discover a list of candidate companies matching criteria (industry, location, size, keywords) rather than analyze one already-known company.

NameTypeReqDescription
citystring––
countrystring––
employeeMaxinteger––
employeeMininteger––
industrystring––
keywordsarray––
limitinteger––
querystring––
NameTypeReqDescription
appliedLimitintegeryes–
cachedbooleanyes–
companiesarrayyes–
confidencenumberyes–
dataModestringyes–
limitationsarrayyes–
requestedLimitintegeryes–
resultCountintegeryes–
sourcesarrayyes–

No examples provided.

first_10_customers_plan ~102

Create a non-spammy plan for 20 prospects and the first 10 paying customers. Use when an agent needs the Creative Techno book framework for first 10 customers plan.

NameTypeReqDescription
businessstringyes–
customerstringyes–
languagestring––
offerstringyes–
priceOMRnumber–OMR; calculations use integer baisa internally
prospectsarray––
NameTypeReqDescription
frameworkSourceobjectyes–
languagestringyes–
resultobjectyes–

No examples provided.

generate_job_profile ~66

Normalize a job description into required and preferred professional requirements with transparent weights totaling 100. Use before candidate matching or shortlisting when an agent needs a structured job requirement profile.

NameTypeReqDescription
job_descriptionstringyes–
job_titlestring––
languagestring––
NameTypeReqDescription
certificationsarrayyes–
domain_experiencearrayyes–
employment_typestring|nullyes–
industryarrayyes–
job_titlestringyes–
keywordsarrayyes–
language_requirementsarrayyes–
leadership_requirementsarrayyes–
location_requirementsstring|nullyes–
preferred_experience_yearsnumber|nullyes–
preferred_skillsarrayyes–
required_educationarrayyes–
required_experience_yearsnumber|nullyes–
required_skillsarrayyes–
responsibilitiesarrayyes–
role_familystringyes–
scoring_modelobjectyes–
senioritystringyes–
technical_requirementsarrayyes–

No examples provided.

get_oman_company_profile ~77

Return a structured profile for one Oman company by companyId — identity, registration, location and contact fields, digital-presence detection and full source provenance. Use after search_oman_company resolves a companyId, to retrieve the company's structured profile before deciding whether deeper analysis or due diligence is warranted.

NameTypeReqDescription
companyIdstringyes–
NameTypeReqDescription
companyobjectyes–
dataCoverageobjectyes–
digitalPresenceobjectyes–
procurementobjectyes–
sourcesarrayyes–
verificationobjectyes–

No examples provided.

ideal_customer_profile ~144

Structure an ideal-customer profile from supplied observations; does not infer verified demographics. Use when an agent needs the Creative Techno book framework for ideal customer profile.

NameTypeReqDescription
ageRangestring––
businessstringyes–
buyingBehaviorstring––
citystring––
genderstring––
governoratestring––
incomeLevelstring––
languagestring––
needstring––
objectionsarray––
occupationstring––
onlineChannelsarray––
problemstring––
triggersarray––
NameTypeReqDescription
frameworkSourceobjectyes–
languagestringyes–
resultobjectyes–

No examples provided.

invoice_anomaly_check ~375

Detect duplicate, inconsistent, unusual or potentially fraudulent invoices before payment using arithmetic, supplier-history, purchase-order and payment-detail checks. Returns a 0–100 risk score, a risk level, an advisory decision (continue / review / hold) and machine-readable anomalies (e.g. DUPLICATE_INVOICE, POSSIBLE_DUPLICATE, BANK_ACCOUNT_CHANGED, PO_AMOUNT_EXCEEDED, SPLIT_INVOICE_PATTERN, SUBTOTAL_MISMATCH), each with severity, confidence and structured evidence. Works on a single invoice (standalone) or with optional historical invoices, supplier profile, purchase order, contract, approval threshold and payment history (context-aware). Deterministic, decimal-safe, any country and currency. Use before approving, paying, booking, reconciling or auditing an invoice, especially when an agent needs to determine whether the invoice requires human review. Full execution is paid per call via x402; an unpaid MCP call returns payment instructions and a free qualification preview.

NameTypeReqDescription
approvalContextobject––
contractobject–The governing contract.
historicalInvoicesarray–Previously received invoices (any supplier; up to 1000). Enables duplicate, supplier-behavior, payment-detail and split checks.
invoiceobjectyesThe invoice to check. Only `total` is required. Amounts: number or plain decimal string ("9200.50"); dates: ISO 8601; currency: ISO 4217 code; bankAccount is never echoed unmasked.
optionsobject––
paymentHistoryarray–Past payments (any supplier). Used for known payment accounts and already-paid detection.
purchaseOrderobject–The purchase order the invoice is billed against.
supplierProfileobject–Supplier master data for the invoice's supplier.

Structured output declared, but exposes no named fields.

No examples provided.

monthly_business_financial_report ~181

Generate a monthly business financial report from supplied OMR figures; not accounting advice. Use when an agent needs the Creative Techno book framework for monthly business financial report.

NameTypeReqDescription
directCostsOMRnumberyesOMR; calculations use integer baisa internally
fixedCostsOMRnumberyesOMR; calculations use integer baisa internally
languagestring––
marketingOMRnumber–OMR; calculations use integer baisa internally
otherExpensesOMRnumber–OMR; calculations use integer baisa internally
priorRevenueOMRnumber–OMR; calculations use integer baisa internally
reinvestmentPercentnumber––
reservePercentnumber––
revenueOMRnumberyesOMR; calculations use integer baisa internally
NameTypeReqDescription
frameworkSourceobjectyes–
languagestringyes–
resultobjectyes–

No examples provided.

Common questions

What is the Rafid Agent Intelligence MCP server?

Rafid Agent Intelligence is an MCP server listed in the public MCP registry as io.github.iabdullahm/rafid-agent-api. Decision intelligence for AI agents: due diligence, risk, property, documents, finance and more. This page covers its hosted endpoint (https://api.rafidsystem.com/mcp).

Is the Rafid Agent Intelligence MCP server safe to use?

Rafid Agent Intelligence scores 64 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Rafid Agent Intelligence MCP server expose?

Rafid Agent Intelligence exposes 70 tools: analyze_company_risk, analyze_oman_company, business_risk_score, company_due_diligence, company_reputation_check, and 65 more. Their descriptions and schemas cost roughly 9,763 tokens of context every time the server is loaded.

Does the Rafid Agent Intelligence MCP server require authentication?

No. We connected to Rafid Agent Intelligence without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the Rafid Agent Intelligence MCP server still maintained?

Rafid Agent Intelligence is still listed as active in the MCP registry. We last reached this channel on 29 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.