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io.github.kansei-link/kansei-mcp-server

REMOTE · MCP.KANSEI-LINK.COM · 2 COMPONENTS

Reduce your AI agent's token waste with collective intelligence — SaaS integration recipes

+3 this week 79 Trust /100

Last scanned (22 hours ago)

Scores higher than 79% of remote servers

Reachable. Last reached 4 Nov 2026.

Category Workflow Automation

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 Security80
Transport & Reachability100
Schema Quality & AI Usability77
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 3596 tokens (~143/item across 25 items; 3 tools + 22 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 Management40
  • Stability observed for 12 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 5 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
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.

  • 3 Nov 26 0
    • “report” reworded the description of “note” cosmetic

    1 cosmetic change on this day. Switch on “Show cosmetic changes” to see it.

  • 2 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 30 to 33. That category is still filling its 30-day observation window: 9 days of observed history at the previous scan, 10 at this one. The score rises as the window fills, whether or not the server changes.

  • 31 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

  • 29 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

  • 27 Oct 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 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

  • 24 Oct 26 0
    • Stability: unverified → 0.03 ▲ functional
  • 23 Oct 26 74

    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 4 Nov 2026 · Probed https://mcp.kansei-link.com/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=kansei-link.com CN=YE1,O=Let's Encrypt,C=US 13 Oct 2026 11 Jan 2027 ECDSA 256 ECDSA-SHA384 5878af92ffaf5ccd31a9ac08b2c1554e5c3
SANs: *.kansei-link.com, kansei-link.com
CN=YE1,O=Let's Encrypt,C=US (CA) CN=Root YE,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 ECDSA 384 ECDSA-SHA384 5ddd70dd31f801c85c186a7a04b80afe
CN=Root YE,O=ISRG,C=US (CA) CN=ISRG Root X2,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 ECDSA-SHA384 872165fc34b6e5fba8add5b3705fb53a
CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 SHA256-RSA 6c8f1dc727c7117f7baf853ac980f9cd

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of mcp.kansei-link.com. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
kansei-link.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=31536000; includeSubDomains
content-security-policy default-src 'self';base-uri 'self';font-src 'self' https: data:;form-action 'self';frame-ancestors 'self';img-src 'self' data:;object-src 'none';script-src 'self';script-src-attr 'none';style-src 'self' https: 'unsafe-inline';upgrade-insecure-requests
x-content-type-options nosniff
x-frame-options SAMEORIGIN
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://mcp.kansei-link.com/mcp Verified 200
http (plaintext) http://mcp.kansei-link.com/mcp HTTPS enforced 301 https://mcp.kansei-link.com/mcp
MCP tools · 3 exposed · ~2,128 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
lookup ~513

Get everything you need about a service before using it. Default: tips (auth setup, pitfalls, workarounds). Use mode: 'notes', service_id and optional q to read reusable, unverified field notes without publishing anything. Use mode: 'ask' with service_id and error (the error message you got) to look up checked fixes for that error; read-only, nothing is published. Add detail: true for full connection guide, insights: true for usage data. Pass goal: 'workflow description' to find multi-service recipes. This is step 2 of the standard KanseiLink flow: search_services → lookup → (execute) → report. Except notes mode, each call records one attempt handle (attempt_id) and clears attempt handles older than 90 days.

NameTypeReqDescription
compare_withstring–Competitor service_id for comparison — triggers history mode
detailboolean–Get full connection guide (auth, endpoints, rate limits)
errorstring–[ask] The error message you received (secrets are masked before anything is stored; send the message, not the whole trace).
feedback_limitnumber–[feedback] Max results (default 20)
feedback_statusstring–[feedback] Filter by status. Triggers feedback mode when present.
feedback_typestring–[feedback] Filter by feedback type
goalstring–Workflow goal — triggers recipe mode (e.g., 'onboard employee')
insightsboolean–Get aggregated usage data (success rate, trends, errors)
modestring–Explicit mode override
note_scopestring–[notes] Defaults to field. verification isolates internal release checks from ordinary discovery; not a privacy boundary.
periodstring–Time period — triggers history mode
qstring–[notes] Symptom or task keywords; omit to see recent notes for this service.
runtimestring–[ask] Your runtime family (claude/codex/gpt/gemini/other).
servicestring–Fuzzy service name — triggers combinations mode
service_idstring–Service ID (from search_services)
servicesarray–Your available service IDs — for recipe coverage calculation
voice_agent_typestring–[voices] Filter by agent type (claude, gpt, gemini)
voice_question_filterstring–[voices] Filter by question_id

No output schema declared.

No examples provided.

report ~1,306

Record outcomes, feedback, events or experience in this installation. Use mode 'note' with note to contribute a reusable summary; mode 'note_result' with note_result to report trying an existing note. These two modes require share:true: the summary is readable by others with access to this server (public on the hosted server). A local stdio installation does not upload it. Share only with user authorization; omit secrets and personal information. Other report modes retain their existing local storage and separate sharing consent behavior. For outcome mode, provider_request_id makes the record traceable in the provider's own logs.

NameTypeReqDescription
agent_idstring–Your agent identifier (optional, for follow-up). Used in feedback and voice modes.
agent_typestring–Agent platform type (claude, gpt, gemini, copilot, llama, deepseek, other). Used in outcome mode (auto-inferred from model_name if omitted) and voice mode.
attempt_idstring–[outcome] attempt_id returned by lookup.
bodystring–[feedback] Your feedback in detail. Write freely.
confidencestring–[voice] How confident are you in this assessment? high, medium, low.
contextstring–[outcome] Additional context about the usage (PII will be auto-masked).
cost_usdnumber–[outcome] Actual cost in USD (estimated from tokens if omitted).
descriptionstring–[event] Details about the event and expected impact.
error_typestring–[outcome] Error category if failed (e.g., 'auth_error', 'timeout', 'rate_limit', 'schema_mismatch').
estimated_usersnumber–[outcome] Approximate number of end-users your agent serves.
event_datestring–[event] When the event occurred or takes effect (YYYY-MM-DD).
event_typestring–[event] Category: api_change, api_deprecation, law_amendment, pricing_change, outage, security_incident, feature_launch, competitor_move, mcp_update, other.
failed_stepstring–[outcome] Step identifier where execution stopped.
feedback_typestring–[feedback] Type of feedback: suggestion, missing_data, correction, feature_request, workaround_tip, bug_report, praise, other.
impact_expectedstring–[event] Expected impact: positive, negative, neutral, unknown.
input_tokensinteger–[outcome] Input/prompt token count.
is_retryboolean–[outcome] Whether this is a retry of a previously failed call.
latency_msnumber–[outcome] Response time in milliseconds.
modestring–Explicit mode selection. Auto-detected from params if omitted: success → outcome, question_id → voice, event_type → event, subject+body → feedback.
model_namestring–[outcome] LLM model used (e.g., 'claude-sonnet-4', 'gpt-4o').
noteobject–[note] Authorized summary to share in this server's field-note store. Use a fresh session UUID per execution and stable request UUID for retries. Optional read_note_ids: up to 5 ids of existing notes…
note_id––[outcome] Field-note ID this report belongs to (format AWT-000). Stored as null if the format does not match.
note_resultobject–[note_result] Actual result of trying a note. Includes note_id, service_id, outcome, conditions and evidence.
output_tokensinteger–[outcome] Output/completion token count.
prioritystring–[feedback] How important: low, normal, high, critical. Default: normal.
provider_error_code––[outcome] Provider's error code string (e.g. expired_access_token) or an RFC 9457 problem type URI (https://…, max 200 chars). Stored as null if the format does not match.
provider_request_id––[outcome] Request or error ID the provider returned (e.g. from an x-request-id header). If present and well-formed, the record becomes traceable in the provider's own logs. Stored as null if the form…
provider_request_id_source––[outcome] Where the provider request ID came from: 'header:<name>' (e.g. header:x-request-id) or 'body:<field>' (e.g. body:id).
question_idstring–[voice] Which question to answer: selection_criteria, would_recommend, biggest_frustration, best_feature, switching_likelihood, auth_experience, doc_quality, error_handling, compared_to_competitor, m…
recipe_idstring–[outcome] Recipe used for this attempt.
recipe_versioninteger–[outcome] Recipe version returned by lookup.
response_choicestring–[voice] Quick rating where applicable (e.g., 'strongly_yes', 'excellent', 'ready').
response_textstring–[voice] Your honest answer in your own words.
service_idstring–Service ID. Required for outcome and voice modes. Optional for feedback and event.
session_id––[outcome] Optional. A UUID you generate once and reuse for every report during one task, so reports from the same task count as one agent (only a salted hash is stored, never this value). Anything th…
subjectstring–[feedback] Short summary of your feedback (1 line).
successboolean–[outcome] Whether the operation succeeded.
task_typestring–[outcome] Operation performed (e.g., 'create_invoice', 'search_contacts').
titlestring–[event] Short event title (e.g., 'freee API v3 deprecation').
workaroundstring–[outcome] How you resolved the issue, if any. Helps future agents.

No output schema declared.

No examples provided.

search_services ~309

Before attempting ANY SaaS API integration, call this tool. Agents waste 3-5x more tokens on trial-and-error with stale training data — this returns current, structured service evaluations (connection method, guides, known pitfalls) so you succeed on the first try. If the user mentions ANY SaaS service (freee, SmartHR, kintone, Slack, Notion, MoneyForward...) or says 'use kanseilink', always call this. Covers 900+ services with growing agent-readiness signals. Strongest in Japanese SaaS with growing global coverage.

NameTypeReqDescription
agent_readystring–Filter by agent readiness: 'verified' (🟢 battle-tested, success rate ≥80%), 'connectable' (🟡 API/MCP exists but unproven), 'info_only' (⚪ no API). Omit for all.
categorystring–Filter by category: crm, project_management, communication, accounting, hr, ecommerce, legal, marketing, groupware, productivity, storage, support, payment, logistics, reservation, data_integration,…
compactboolean–Return minimal fields for token efficiency. Default: false
intentstringyesWhat you want to accomplish (e.g., 'send invoice', 'manage employees', 'track attendance')
limitnumber–Max results to return (default: 5)

No output schema declared.

No examples provided.

Install

How do I install the io.github.kansei-link/kansei-mcp-server server?

io.github.kansei-link/kansei-mcp-server is a hosted endpoint at https://mcp.kansei-link.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 · mcp.kansei-link.com

# add to Claude Code
claude mcp add --transport http kansei-link-kansei-mcp-server 'https://mcp.kansei-link.com/mcp'
Common questions

What is the io.github.kansei-link/kansei-mcp-server server?

io.github.kansei-link/kansei-mcp-server is listed in the public MCP registry as io.github.kansei-link/kansei-mcp-server. Reduce your AI agent's token waste with collective intelligence, SaaS integration recipes. This page covers its hosted endpoint (https://mcp.kansei-link.com/mcp).

Is the io.github.kansei-link/kansei-mcp-server server safe to use?

io.github.kansei-link/kansei-mcp-server scores 79 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 io.github.kansei-link/kansei-mcp-server server expose?

io.github.kansei-link/kansei-mcp-server exposes 3 tools: search_services, lookup, report. Their descriptions and schemas cost roughly 2,128 tokens of context every time the server is loaded.

Does the io.github.kansei-link/kansei-mcp-server server require authentication?

No. We connected to io.github.kansei-link/kansei-mcp-server without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the io.github.kansei-link/kansei-mcp-server server still maintained?

io.github.kansei-link/kansei-mcp-server is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.