Analytics Legends — SAP AI & Analytics MCP Server

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-10-18T12:27:20.432405Z",
      "publishedAt": "2026-10-18T12:27:20.432405Z",
      "statusChangedAt": "2026-10-18T12:27:20.432405Z"
    }
  },
  "server": {
    "name": "ai.analyticslegends/sap-analytics",
    "_meta": {
      "io.modelcontextprotocol.registry/publisher-provided": {
        "monitoring": "Handshake, a real tools/call with data, and latency. Two watchers: a 20-minute tick on the maintainer's workstation (only while awake), and a cloud backstop twice a day calling tools/list AND a data-returning tools/call (added 2026-08-18; before that it watched the website only). Health: https://analyticslegends.ai/api/mcp-health.json — read its generated_at, do not assume a cadence.",
        "verified_on": "2026-08-18",
        "tools_served": "22 on this endpoint: 14 public and unauthenticated, 8 gated by tier and refused by name (3 at Consultant, 5 at Legend). The MCP Pass opens all eight.",
        "endpoint_probe": "POST tools/list on https://analyticslegends.ai/mcp -> 200, 22 tools (2026-10-11), protocol 2025-11-25, 3 resources, 4 prompts. Paid conformance 2026-08-18 on the deployed fingerprint: 686 assertions, 0 failed.",
        "transport_path": "Cloudflare Worker on analyticslegends.ai/mcp* -> Supabase Edge Function -> Postgres",
        "namespace_proof": "https://analyticslegends.ai/.well-known/mcp-registry-auth -> 200 (v=MCPv1; k=ed25519)",
        "long_description": "Source-backed intelligence on the SAP AI & analytics services market (Joule, BDC, Datasphere, SAC, BW/4HANA, Databricks), read-only, so an assistant can answer precisely and cite the exact record. TWENTY-TWO tools: FOURTEEN public and unauthenticated, plus EIGHT a subscriber key opens (listed, refusing by name, never hidden): a directory of SAP consulting, recruitment and vendor organisations searchable by country and kind, a profile per firm, and an aggregate count for an agent that needs a number, not a page of rows; a published day-rate aggregate by geography, stack and seniority — small, all secondary sources, sample_size null where no observation matches the cell, GBP/CHF never folded into euro rows; a live contract radar of publicly published SAP analytics openings, each with its own page — filter it by employment_type, because it is mostly PERMANENT roles and an unfiltered page answers a contracting question with salaried jobs; many rows carry a panel-inferred P25-P75 day-rate band for their seniority x product x region cell, served with its basis, sample and source so it is never quotable as the employer's own offer; what is gated there is a FIELD, not a row: the verified link to the original listing is the Consultant deliverable, every other fact and the page stay public; a curated market-news corpus de-duplicated by upstream URL, its size read at query time and returned as _meta.match_count, each item carrying the upstream publisher's URL alongside ours; a concept encyclopaedia of the stack's vocabulary; the SAP module lookup; and the metadata of the deep-research studies on market structure, day rates and recruiter economics — each exists in EN and FR, so rows are EDITIONS. Also public: the CV/profile platforms a consultant can sign up on, the Academy catalogue, and a traversal of the learning knowledge graph. Every tool is annotated readOnlyHint. The fourteen public tools need no credential; the eight paid ones need an analyticslegends.ai subscription (Consultant or above) or the MCP Pass (€39.90/month, analyticslegends.ai/pricing) — three open at Consultant (the full concept card, a study body, an Academy module) and five at Legend (firm intelligence, the SAP end-customer corpus and profiles, expansion brief, partner candidates). A key on a FREE account gets a small daily taste of the paid tranche (the number is in analytics-legends://tranche). Retrieval with attribution is permitted, training is not; every response carries a citation_url. DELIBERATELY NOT SERVED at any tier: the opportunity-to-consultant matchers, and people — consultants are held as initials only; no tool returns anyone's identity or contact details.",
        "repository_scope": "This repository is the server's PUBLIC FACE — manifest, descriptor, client config, docs. It carries no server code (the application repository is private: paid corpus, personal data). tools/list against the endpoint is the authority for the surface."
      }
    },
    "title": "Analytics Legends — SAP AI & Analytics MCP Server",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "remotes": [
      {
        "url": "https://analyticslegends.ai/mcp",
        "type": "streamable-http"
      }
    ],
    "version": "1.1.0",
    "repository": {
      "url": "https://github.com/analyticslegends/analytics-legends-mcp",
      "source": "github"
    },
    "websiteUrl": "https://analyticslegends.ai",
    "description": "SAP AI & analytics market data for agents: SAP firms, day rates, jobs, Joule & BDC news"
  }
}