What tools does PipeCD Docs MCP Server provide?
It provides two tools: `search_docs` for full-text search (with parameters `query`, `offset`, `limit`) and `read_docs` for retrieving a page’s content by its relative path.
@pipe-cd
基本信息
A local MCP server for searching official PipeCD docs.
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
PipeCD Docs MCP Server is a local MCP server that clones the official PipeCD documentation from GitHub and provides simple full-text search and document retrieval APIs via the MCP protocol. It indexes Markdown files by extracting their titles and content for use in MCP-compatible clients.
Install using npx after configuring your .npmrc with a GitHub PAT (with read:packages scope) and the registry @pipe-cd:registry=https://npm.pkg.github.com. Add the server configuration to your MCP client (e.g., Cursor’s mcp.json) with the command npx @pipe-cd/docs-mcp-server@latest. A Cursor deeplink is also available for one-click installation.
search_docs and read_docs toolsIt provides two tools: `search_docs` for full-text search (with parameters `query`, `offset`, `limit`) and `read_docs` for retrieving a page’s content by its relative path.
The server clones the official PipeCD docs from GitHub into a temporary directory on first use. Markdown files are indexed there.
You need Node.js/npm, and a GitHub personal access token with `read:packages` scope (configured in `.npmrc`). The server runs via stdio.
No, the search logic of `search_docs` is simple. It does not implement advanced ranking or fuzzy matching.
The server uses the stdio transport, invoked via the `npx` command. There is no built-in authentication layer; access is controlled by the MCP client configuration.

The Cloud is the AI-native workspace that gives every AI — Claude, ChatGPT, Gemini, and other Frontier & Free or Local models — shared memory and real agents. Not cloud computing: thecloud.so is one workspace where your
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
Person-owned, portable AI memory served over MCP. Your knowledge, preferences, and decisions — captured in one assistant, available in all of them.

Ask your Takibi Base collections anything; get answers with cited passages and a support score.
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 162 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
评论