Entity Enricher MCP server
online · 100% uptimeai.entityenricher/enricher·v2.0.0Multi-LLM entity enrichment: schemas, single/batch enrichment, fusion, model benchmarks.
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If you have run it, two minutes of your experience saves the next person an afternoon.
Entity Enricher tools
Tool list not cached yet. `describe` through the gateway fetches it live.
Public scan report
scanner v0.1.9 · 2026-09-24 · same rubric, same numbers if you re-run it
- –Code scanremote-only server, no package to scann/a
- Live reliabilityremote reachable in 459ms (auth required)20/20
- –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
- Auth qualityOAuth resource metadata advertised on 40115/15
- Maintenancelast push 4 days ago15/15
- Maintainer identitynamespace and repository owner differ; website matches verified namespace6/10
How Entity Enricher compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 93/100
- higher than 96% of 4,460 AI and agents servers
- Uptime
- 100%
- of our recent checks; the typical remote AI and agents server answers 100%
- Response time
- 1,102 ms
- faster than 8% of 2,331 AI and agents servers
Install Entity Enricher in Claude Code, Cursor or VS Code
claude mcp add --transport http enricher https://entityenricher.ai/api/mcp/
What the publisher says
From the Entity Enricher repository's README, as published. We do not edit it. Read it on GitHub
Entity Enricher MCP Server
A hosted Model Context Protocol server for Entity Enricher, available at https://entityenricher.ai/api/mcp/ (Streamable HTTP).
From an MCP-compatible client you can:
- Design reusable schemas from sample data or documents and edit properties directly.
- Enrich single entities or lists, with multilingual fields and multiple models.
- Fuse results and recover failed expertise domains without repeating successful work.
- Resolve recurring objects to semantic identities and curate their aliases or uncertain matches.
- Derive relational tables and migrations for your PostgreSQL, MySQL or SQLite database.
- Benchmark enrichment, sample generation and schema generation on your own tasks.
Schema validation and model agreement do not establish factual truth or freshness. Inspect the actual sources, failures and partial outcomes. A successful generation, entity-layer admission and application on your external replica are distinct outcomes.
The MCP server needs no local installation. Optional database delivery uses ee-database on your replica host; its DSN stays there. Managed hosts can provision automatically; manual pairing is also supported.
Quickstart
Option 1 — OAuth (recommended)
For claude.ai, Claude Code, Cursor, and any MCP client that implements the standard OAuth flow. No API key to create or paste — the client discovers the authorization server automatically, your browser opens the Entity Enricher consent screen, and the connection acts on your behalf with your own role. Revoke it anytime under Settings → API Keys → Connected Apps.
Claude Code
claude mcp add --transport http entity-enricher https://entityenricher.ai/api/mcp/Then run /mcp in a session and pick Authenticate — your browser opens the consent page. More options (project .mcp.json, API-key fallback): examples/claude-code/
claude.ai
Settings → Connectors → Add custom connector with URL https://entityenricher.ai/api/mcp/, then click Authorize on the consent screen. Walkthrough: examples/claude-ai-remote.md
Cursor / other OAuth-capable clients
Register the URL with no headers and the client prompts you to sign in: examples/cursor/mcp.json
Option 2 — API key (static JSON configuration)
For clients configured via a JSON file rather than an interactive sign-in (Claude Desktop, Continue, Zed) — and for headless/CI use.
organization access key. Pick a role — operator (read-mostly), editor (create/edit schemas), or owner (full control, required for benchmarks). Copy the ent… value; it's only shown once.
- In the Entity Enricher web UI: **Settings → API Keys → New
(macOS) or %APPDATA%\Claude\claudedesktopconfig.json (Windows):
- For Claude Desktop, edit ~/Library/Application Support/Claude/claudedesktopconfig.json
{
"mcpServers": {
"entity-enricher": {
"url": "https://entityenricher.ai/api/mcp/",
"headers": { "X-API-Key": "ent_your_key_here" }
}
}
}Restart Claude Desktop. Full file: examples/claude-desktop/
Try it
List my Entity Enricher schemas, then enrich "Sanofi" against the pharmaceutical company
schema in English and French.
The client discovers the tools, reads the selected schema and returns the result with a link. Automatic model selection is available; consequential choices are reviewed when needed.
Guides and tool descriptions
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Entity Enricher: common questions
- Is Entity Enricher MCP server safe?
- Yes, by our scan: it is graded A (93/100). Read the Entity Enricher safety report
- How do I install Entity Enricher?
- It runs remotely at entityenricher.ai. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does Entity Enricher need an API key?
- No key to paste: it signs you in with OAuth when your client connects.
- Is Entity Enricher maintained?
- The last commit was 44 days ago (2026-09-21). The latest release is v2.0.0.
- Is Entity Enricher up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- What can I use instead of Entity Enricher?
- Servers from other publishers that do the same job: FireCMS Cloud MCP server, PaperBanana MCP server and Butterbase AI MCP server.
- How does Entity Enricher compare with other AI and agents MCP servers?
- safety score 93/100 (higher than 96% of 4,460 AI and agents servers); uptime 100% (of our recent checks; the typical remote AI and agents server answers 100%); response time 1,102 ms (faster than 8% of 2,331 AI and agents servers). Full comparison.
Alternatives to Entity Enricher
Same job from other publishers: the closest match first, then the best rated.
- FireCMS CloudManage FireCMS Cloud from an AI agent: Firestore data, collections, schemas and users.not reviewedEstablishedA
- PaperBananaGenerate academic diagrams and statistical plots from text using multi-agent AI.not reviewedEstablishedA
- Butterbase AIButterbase MCP server — manage your backend: schemas, auth, functions, storage, RAG, deploys.not reviewedEstablishedA
World Model MCPPersistent 3D/2D spatial world model for AI agents with dynamic velocity and entity tracking.not reviewedEstablishedA- three.ws BrainList LLM providers and run chat completions through the three.ws multi-provider router.not reviewedEstablishedB