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ai.mcpanalytics/analytics

REMOTE · API.MCPANALYTICS.AI · 2 COMPONENTS · SCANNED AUG 3

The statistical analyst in your AI chat — validated, citable, re-runnable analysis of your data.

+7 this week 72 Trust /100
Trust breakdown (6 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 →

Endpoint Security83
Transport & Reachability100
Schema Quality & AI Usability71
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 1278 tokens (~85/item across 15 items; 15 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
  • Stability observed for 8 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
Capabilities20
  • Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28. See how to fix → Fail
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

remote · api.mcpanalytics.ai

# add to Claude Code
claude mcp add --transport http ai-mcpanalytics-analytics https://api.mcpanalytics.ai/mcp/api-key
# ~/.codex/config.toml
[mcp_servers.ai-mcpanalytics-analytics]
url = "https://api.mcpanalytics.ai/mcp/api-key"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-mcpanalytics-analytics": {
      "type": "remote",
      "url": "https://api.mcpanalytics.ai/mcp/api-key",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add ai-mcpanalytics-analytics --url https://api.mcpanalytics.ai/mcp/api-key --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  ai-mcpanalytics-analytics:
    url: "https://api.mcpanalytics.ai/mcp/api-key"
// mcp.json
{
  "mcpServers": {
    "ai-mcpanalytics-analytics": {
      "type": "http",
      "url": "https://api.mcpanalytics.ai/mcp/api-key"
    }
  }
}

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.

  • 2 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

  • 31 Jul 26 +4
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 30 Jul 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
  • 29 Jul 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

  • 28 Jul 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.

  • 27 Jul 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
  • 26 Jul 26 65

    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 3 Aug 2026 · Probed https://api.mcpanalytics.ai/mcp/api-key

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=mcpanalytics.ai CN=WE1,O=Google Trust Services,C=US 13 Jun 2026 11 Sept 2026 ECDSA 256 ECDSA-SHA256 5872c0f6488fa1bd135aada9c929ae06
SANs: mcpanalytics.ai, *.mcpanalytics.ai
CN=WE1,O=Google Trust Services,C=US (CA) CN=GTS Root R4,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 ECDSA 256 ECDSA-SHA384 7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 15 Nov 2023 28 Jan 2028 ECDSA 384 SHA256-RSA 7fe530bf331343bedd821610493d8a1b
DNSSEC insecure

Validation of api.mcpanalytics.ai. Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
ai. present 3799 8 Verified
mcpanalytics.ai. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication Challenged, unverified

The endpoint asked for a token, but we could not retrieve and validate the RFC 9728 metadata that tells a client how to obtain one.

Result Challenged, unverified
Enforced On tool calls
HTTP status 200

WWW-Authenticate challenge API-Key realm="https://api.mcpanalytics.ai"

API-Key realm="https://api.mcpanalytics.ai"
Header Value
x-content-type-options nosniff
x-frame-options SAMEORIGIN
referrer-policy strict-origin-when-cross-origin

Protected resource metadata

Retrieved No
Problem no_resource_metadata
Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://api.mcpanalytics.ai/mcp/api-key Verified 200
http (plaintext) http://api.mcpanalytics.ai/mcp/api-key HTTPS enforced 301 https://api.mcpanalytics.ai/mcp/api-key
MCP tools — 15 exposed · ~1,156 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.

Tool Tokens
about ~39

Platform documentation and info — how it works, tiers, usage.

NameTypeReqDescription
topicstringyesTopic: platform, manual, connectors, or a docs section

No output schema declared.

No examples provided.

account_link ~51

Direct link to the right account page for anything not doable in chat — billing, browser upload, report management. Hand the user the link and guide them.

NameTypeReqDescription
sectionstringWhere to send the user

No output schema declared.

No examples provided.

agent_advisor ~39

AI help desk — which analysis fits your question, interpreting results, fixing errors. Multi-turn.

NameTypeReqDescription
messagestringyesYour question or request

No output schema declared.

No examples provided.

ask_library ~42

Ask a question across all your delivered analyses — synthesized answer with citations back to specific reports.

NameTypeReqDescription
questionstringyesPlain-language question to answer from your report library

No output schema declared.

No examples provided.

build_status ~65

Check a commissioned build in-chat: stage progress, queue position, rejection reason if the data didn't match the objective, honest ETA, report link when delivered.

NameTypeReqDescription
pipeline_idintegerpipeline_id from create_analysis
track_tokenstringToken from the tracking URL

No output schema declared.

No examples provided.

create_analysis ~282

Commission a NEW analysis built for your question. tier is REQUIRED — the user picks. Easiest: fuzzy_request (plain language) + dataset_ref + tier. Snapshot = instant automated report (~2-10 min). JSON = a fast computed answer, numbers + method, re-runnable tool you own (~5 min). Brief = the computed answer on a one-page report — chart, numbers, method (~7 min). Deck = commissioned deep analysis, a durable re-runnable module you own (30-45 min). Failed builds are never billed.

NameTypeReqDescription
column_mappingobjectOptional semantic-to-real column map (hint only)
dataset_refstringSingle-dataset URI: 'uuid://UUID:KEY'
datasets_refsobjectMulti-dataset URIs keyed by role
fuzzy_requeststringPlain-language description of the analysis you want
notesstringOptional context for the build — constraints, definitions, or preferences the analyst agents should honor
specificationobjectFull 11-field spec (legacy path — prefer fuzzy_request)
tierstringsnapshot = instant report (~2-10 min); json = fast computed answer (~5 min, default); brief = one-page report of the answer (~7 min); deck = commissioned re-runnable module (30-45 min)

No output schema declared.

No examples provided.

datasets_list ~65

List and search your uploaded datasets — fuzzy matching on name, description, and tags. Returns each dataset's uuid:// reference for use in create_analysis and run_analysis.

NameTypeReqDescription
limitintegerMax results
searchstringSearch by name, description, or tags

No output schema declared.

No examples provided.

datasets_upload ~87

Get your data in. Pass `data` as an array of row objects to create the dataset immediately and get a dataset_ref ready for create_analysis; omit it to get an upload link for a file only the user can reach.

NameTypeReqDescription
dataarrayRows as an array of flat objects — creates the dataset in one call
expires_inintegerToken expiration in seconds

No output schema declared.

No examples provided.

discover_tools ~85

Browse the analyses you can run — the ones you commissioned plus the platform Standard Library (prebuilt tools; each result tagged source:'own' or 'standard_library'). Plain-language match; no query lists everything, your own first. Nothing fits? Commission it with create_analysis.

NameTypeReqDescription
querystringPlain-language search over your library + the Standard Library; omit to list everything

No output schema declared.

No examples provided.

modify_analysis ~156

Modify an EXISTING analysis into a new version — reword the question, swap the method, or add a variable. Pass tool_name + changes (plain language). Rebuilds on the analysis's own dataset by default; the original stays put. Returns pipeline tracking — follow with build_status.

NameTypeReqDescription
changesstringyesWhat to change, in plain language, e.g. 'also break it down by region' or 'use a random forest instead'
dataset_refstringOptional — rebuild against a different dataset ('uuid://UUID:KEY')
tierstringOptional — change the depth of the new version
tool_namestringyesThe analysis to modify (from discover_tools or your library)

No output schema declared.

No examples provided.

report_cards ~47

Browse a delivered report's individual cards (charts, tables, insights) inline in chat.

NameTypeReqDescription
processing_idstringyesThe report's processing id, returned by run_analysis or build_status

No output schema declared.

No examples provided.

reports_list ~57

Your report library — every analysis delivered, with status and links. Pass semantic_query to search report content in plain language.

NameTypeReqDescription
limitintegerMax results
semantic_querystringNatural-language search over your reports' content

No output schema declared.

No examples provided.

reports_view ~39

Get a shareable browser link for a report — viewable without authentication.

NameTypeReqDescription
processing_idstringyesProcessing ID from run_analysis / reports_list

No output schema declared.

No examples provided.

run_analysis ~69

Run an analysis on your data. Returns a shareable interactive report URL — validated statistics you can cite, re-run, and share.

NameTypeReqDescription
taskListobjectyesExecution inputs. Call tools_schema first for the analysis-specific fields.
tool_namestringyesName of the analysis to run

No output schema declared.

No examples provided.

tools_schema ~33

Get an analysis's parameter schema — ALWAYS call before run_analysis.

NameTypeReqDescription
tool_namestringyesName of the analysis

No output schema declared.

No examples provided.