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# MCP Server Builder [![PyPI version](https://img.shields.io/pypi/v/mcp-server-builder.svg)](https://pypi.org/project/mcp-server-builder/) [![CI](https://github.com/praveenc/mcp-server-builder/actions/workflows/ci.yml/badge.svg)](https://github.com/praveenc/mcp-server-builder/actions/workflows/ci.yml) [![Python 3.13+](https://img.shields.io/badge/python-3.13%2B-blue.svg)](https://www.python.org/downloads/) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) Model Context Protocol (MCP) server for searching MCP protocol and FastMCP documentation. This MCP server helps you build correct MCP servers by providing searchable access to the official MCP specification and FastMCP framework documentation, always reflecting the current state of the protocol. ## Features - **BM25 Search** — Advanced full-text search with Porter stemming and n-gram indexing - **Stop Word Removal** — 179 common English stop words filtered for better relevance - **Domain Term Preservation** — MCP-specific terms (`mcp`, `json`, `rpc`, `stdio`) kept intact - **Lazy Loading** — Fast startup with on-demand content fetching - **Always Current** — Indexes live documentation from `llms.txt` sources on startup ## Data Sources The server indexes documentation from these curated `llms.txt` sources: | Source | Description | |--------|-------------| | [modelcontextprotocol.io/llms.txt](https://modelcontextprotocol.io/llms.txt) | Official MCP protocol specification | | [gofastmcp.com/llms.txt](https://gofastmcp.com/llms.txt) | FastMCP Python framework documentation | ## Prerequisites 1. Install `uv` from [Astral](https://docs.astral.sh/uv/getting-started/installation/) 2. Install Python 3.13 or newer using `uv python install 3.13` ## Installation Configure in your MCP client: ```json { "mcpServers": { "mcp-server-builder": { "command": "uvx", "args": ["mcp-server-builder@latest"], "disabled": false, "autoApprove": [] } } } ``` **Config file locations:** - **Claude Desktop (macOS)**: `~/Library/Application Support/Claude/claude_desktop_config.json` - **Claude Desktop (Windows)**: `%APPDATA%\Claude\claude_desktop_config.json` - **Windsurf**: `~/.codeium/windsurf/mcp_config.json` - **Kiro**: `.kiro/settings/mcp.json` in your project ### Install from PyPI ```bash # Using uv uv add mcp-server-builder # Using pip pip install mcp-server-builder ``` ## Basic Usage Example prompts to try: - "How do I define tools in FastMCP?" - "What is the MCP lifecycle?" - "Show me stdio transport configuration" - "How to handle tool errors in MCP?" - "What are MCP resources and how do I use them?" ## Available Tools ### search_mcp_docs Search MCP protocol and FastMCP documentation with ranked results and snippets. ```python search_mcp_docs(query: str, k: int = 5) -> list[dict] ``` | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `query` | str | required | Search query (e.g., "tool input schema", "stdio transport") | | `k` | int | 5 | Maximum number of results to return | **Returns:** List of results with `url`, `title`, `score`, and `snippet`. **Example:** ```python search_mcp_docs("how to define tools", k=3) # Returns top 3 matching documents with snippets ``` ### fetch_mcp_doc Retrieve full documentation page content by URL. ```python fetch_mcp_doc(uri: str) -> dict ``` | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `uri` | str | required | Document URL (http/https) | **Returns:** Dictionary with `url`, `title`, `content` (or `error` on failure). **Example:** ```python fetch_mcp_doc("https://modelcontextprotocol.io/docs/concepts/tools") # Returns full page content ``` ## Workflow Example **Step 1:** Search for relevant documentation ```python search_mcp_docs("FastMCP tool decorator", k=5) ``` **Step 2:** Fetch full content of the most relevant result ```python fetch_mcp_doc("https://gofastmcp.com/tutorials/tools") ``` ## Architecture ```text llms.txt URLs (MCP + FastMCP) ↓ startup BM25 index with stemmed tokens + n-grams (titles only, fast) ↓ search request Stem query → match unigrams/bigrams/trigrams → BM25 rank ↓ top-k Lazy content hydration → snippet extraction ↓ response { url, title, score, snippet } ``` ## Development ```bash # Clone and install git clone https://github.com/praveenc/mcp-server-builder.git cd mcp-server-builder uv sync --dev source .venv/bin/activate # Run tests uv run pytest # Run with MCP Inspector npx @anthropic-ai/mcp-inspector uv run mcp-server-builder # Linting and type checking uv run ruff check src tests uv run pyright ``` ## License MIT - see [LICENSE](LICENSE) for details. ## Contributing Contributions welcome! Please open an issue or submit a pull request. ## Support For issues and questions, use the [GitHub issue tracker](https://github.com/praveenc/mcp-server-builder/issues)

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