Build a Context7 Documentation MCP Server for Autonomous Code Generation in 2026

Context7 topped the 2026 MCP server rankings for one simple reason: it eliminates the single biggest failure mode in AI code generation — hallucinated APIs. When an agent generates code using outdated or non-existent library methods, the result is broken builds and wasted developer time.

Context7 provides real-time documentation fetching directly into the agent context window. Here is the production FastMCP TypeScript server implementation.

Architecture

graph LR
    A[AI Agent] -->|resolve-library| B[Context7 MCP Server]
    B --> C[Doc Index]
    B --> D[Version Registry]
    B --> E[CDN Cache]
    C --> F[Library Docs API]

FastMCP TypeScript Server

// src/context7-mcp.ts
import { FastMCP } from "fastmcp";
import { z } from "zod";
import pLimit from "p-limit";

const server = new FastMCP({
  name: "Context7 Documentation MCP",
  version: "2.0.0"
});

const rateLimit = pLimit(10); // 10 concurrent requests max
const docCache = new Map<string, { data: string; ts: number }>();
const CACHE_TTL = 5 * 60 * 1000; // 5 minutes

// Tool 1: Resolve Library
server.tool(
  "resolve-library",
  "Find the correct library ID and latest version for a given package name",
  {
    library: z.string().describe("npm/pypi package name or keyword"),
    version: z.string().optional().describe("Specific version, defaults to latest")
  },
  async ({ library, version }) => {
    const result = await rateLimit(() => searchLibrary(library, version));
    return {
      content: [{
        type: "text",
        text: JSON.stringify(result, null, 2)
      }]
    };
  }
);

// Tool 2: Get Documentation
server.tool(
  "get-docs",
  "Fetch current documentation for a specific library topic or API",
  {
    library_id: z.string().describe("Library ID from resolve-library"),
    topic: z.string().describe("Specific API, method, or concept"),
    tokens: z.number().max(10000).default(5000).describe("Max tokens of docs to return")
  },
  async ({ library_id, topic, tokens }) => {
    const cacheKey = `${library_id}:${topic}:${tokens}`;
    const cached = docCache.get(cacheKey);
    if (cached && Date.now() - cached.ts < CACHE_TTL) {
      return { content: [{ type: "text", text: cached.data }] };
    }

    const docs = await rateLimit(() => fetchDocs(library_id, topic, tokens));
    docCache.set(cacheKey, { data: docs, ts: Date.now() });

    return {
      content: [{ type: "text", text: docs }]
    };
  }
);

// Tool 3: Get Code Examples
server.tool(
  "get-examples",
  "Retrieve real code examples for a specific library API or pattern",
  {
    library_id: z.string(),
    pattern: z.string().describe("API method or pattern to find examples for"),
    language: z.enum(["typescript", "javascript", "python"]).default("typescript")
  },
  async ({ library_id, pattern, language }) => {
    const examples = await rateLimit(() => fetchExamples(library_id, pattern, language));
    return {
      content: [{ type: "text", text: examples }]
    };
  }
);

// Tool 4: Search Across All Libraries
server.tool(
  "search-docs",
  "Search documentation across all indexed libraries for a specific concept",
  {
    query: z.string().describe("Search query for documentation"),
    max_results: z.number().max(20).default(5)
  },
  async ({ query, max_results }) => {
    const results = await rateLimit(() => searchDocs(query, max_results));
    return {
      content: [{ type: "text", text: JSON.stringify(results, null, 2) }]
    };
  }
);

server.start({
  transport: "stdio"
});

Claude Desktop Configuration

{
  "mcpServers": {
    "context7": {
      "command": "npx",
      "args": ["-y", "@context7/mcp-server"],
      "env": {
        "CONTEXT7_API_KEY": "your-key"
      }
    }
  }
}

Library Coverage

Performance

By Deepak Bagada, CEO at SaaSNext & Principal AI Architect.

Last tested: August 2026 with TypeScript 5.6, FastMCP v1.4.0, Node v22, and latest framework releases.

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