An MCP server extension for Zed that retrieves relevant pieces from a PDF file
An MCP server extension for Zed that retrieves relevant pieces from a PDF file
A document search extension for Zed that lets you semantically search through a PDF document and use the results in Zed's AI Assistant.
This extension currently requires: 1. An OpenAI API key (to generate embeddings) 2. uv installed on your system Note: While the current setup requires an OpenAI API key for generating embeddings, we plan to implement a self-contained alternative in future versions. Community feedback will help prioritize these improvements.
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
This extension currently requires: 1. An OpenAI API key (to generate embeddings) 2. uv installed on your system Note: While the current setup requires an OpenAI API key for generating embeddings, we plan to implement a self-contained alternative in future versions. Community feedback will help prioritize these improvements.
| Variable | Description | Required |
|---|---|---|
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Independent security review for AI-built apps. Watch a GitHub repo. Never a patch.
Read Google Search Console analytics, inspect indexed URLs, and monitor sitemaps from your terminal or AI agent.
Turn OpenAPI / Postman specs into runnable MCP servers, or serve any API as live MCP tools.
Voyp Model Context Protocol server