LLM Reference MCP server
Which MCP servers are LLM Reference's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-26
- Registry nameorg.llmref/llmrefverified in the MCP registry
The registry name sits under llmref.org. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-26
- Tools5
- Server calls itselfllmref
- Server version0.1.0
- Protocol version2025-06-18
On 2026-10-26 the server answered initialize and tools/list without a sign-in. First answer in 715 ms.
- Its tools do every use case we checked: fetch version-pinned library docs for an AI assistant; search library documentation within a token budget.
- Checked on 2 of the 7 days it takes to judge reliability.
Once connected
- For "fetch version-pinned library docs for an AI assistant", the likely first call is list_projects.
- For "search library documentation within a token budget", the likely first call is list_projects.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP scoreafter a weeka score needs 7 daily checks: 2 so far
- What an agent can do with it2 of 2 use cases
- Answeredmeasuring2 of the 7 daily checks it takes to print a share
- Median first answer691 ms
- Space in an agent's context≈ 1,225 tokensthe definitions of all its tools (5), which an agent carries on every turn
- Tool definitionsA · 100 of 100
- Typed results0 of 5 toolsdeclared outputSchema: results come typed, read once
- Every tool passes all six checks.
What an agent can do with it
- can do · fetch version-pinned library docs for an AI assistant
- can do · search library documentation within a token budget
- not sure · connect AI coding tools to versioned documentation over MCP
Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?
Worth a look
None of the five warning signs in these definitions.
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
list_projectsList 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…
list_versionsList 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…
report_missing_docsBest-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…
resolve_docsResolve 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…
search_docsSemantic 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`…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"llmref": {
"type": "http",
"url": "https://api.llmref.org/v1/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http llmref https://api.llmref.org/v1/mcpclaude.ai, ChatGPT and other clients: add https://api.llmref.org/v1/mcp as a custom connector in the settings.
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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