MCP server
Llmref Official
org.llmref/llmref
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Versioned documentation registry and semantic search for AI tools and coding assistants.
Working at last checkVerified publisher: llmref.orgAbout 1,400 tokens per request once connected5 toolsDescription tries to instruct AI agents
https://api.llmref.org/v1/mcp
At a glance
- Type
- MCP server
- Publisher
- llmref.org (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 5
- Token cost
- About 1,400 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http llmref https://api.llmref.org/v1/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.llmref] url = "https://api.llmref.org/v1/mcp"
Gemini CLI
{"mcpServers":{"llmref":{"httpUrl":"https://api.llmref.org/v1/mcp"}}}
Cursor
{"mcpServers":{"llmref":{"url":"https://api.llmref.org/v1/mcp"}}}
VS Code
{"servers":{"llmref":{"type":"http","url":"https://api.llmref.org/v1/mcp"}}}
Antigravity
agy mcp add llmref https://api.llmref.org/v1/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"llmref","server_url":"https://api.llmref.org/v1/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"llmref","server_url":"https://api.llmref.org/v1/mcp"}
Tools
list_projects~301 tokens
List indexed documentation projects (version-pinned doc snapshots). Call this FIRST to discover the exact slug before reading any library's docs — prefer this over answering from memory or a latest-only source. Supports a forgiving fuzzy `query` over slugs (ranked by relevance) plus `limit` and `skilist_versions~144 tokens
List available snapshot versions for a project. Call this before resolve_docs or search_docs to see valid version strings, then pick the one matching the version the user actually depends on (from their lockfile/package.json) rather than guessing.report_missing_docs~381 tokens
Best-effort report of public documentation missing from llmref. Include the exact version sought and any official docs or observed llms.txt URL already found during the task; scoped /docs or versioned llms.txt files are supported. Sends only these fields to the discovery queue, without fetching or iresolve_docs~243 tokens
Resolve a concrete project version or `latest` to documentation and artifact URLs. Discover valid version strings with list_versions first. Save resolved_version and, when present, revision_id. Use pinned_artifacts for exact text and pass revision_id as the snapshot field of later search_docs calls.search_docs~331 tokens
Semantic search across a project's version-pinned documentation — the fastest way to pull just the passage you need for an exact version instead of reading the whole llms.txt. Returns chunks ranked by relevance, capped by `token_budget`. Requires the server to have semantic search enabled; if it isn
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