Here's how can you install MCP to your selected AI editor
Go to: Settings → Cursor Settings → MCP → Add new global MCP server
Paste the following configuration into your Cursor ~/.cursor/mcp.json
file:
{ "mcpServers": { "mcp-doc-hub": { "command": "npx", "args": ["-y", "@productivemark/mcp-doc-hub@latest"], "env": { "SERVER_URL": "YOUR_SERVER_URL", "MCPDOCHUB_API_KEY": "YOUR_API_KEY" } } } }
Overwhelming an Agent can happen when chat threads become too large. Previous instructions or information will be forgotten and the agent will make mistakes. Don't throw an entire websites worth of content at your agent.
Incomplete or sparse information can make an agent take guesses and hallucinate, leading to hard to correct bugs.
MCP Doc Hub retrieves exactly the technical documentation needed to complete the task, leading to less errors and wasted time.
Automatically extracts clean, structured content from technical documentation sites and transforms it into MCP-optimized knowledge collections for your AI agents.
Our system automatically identifies and prioritizes the most relevant documentation sections, with recently viewed documents readily available for consistent workflows.
Each collection becomes a dedicated MCP server with specialized tools that fit perfectly into your existing workflow—no more context switching between documentation and your IDE.
Create intelligent document collections from technical documentation sites.
Your AI agents can access exactly the information they need, when they need it.
Extract and organize technical documentation from any API, framework, or library website.
Documentation is automatically categorized into topics for more efficient and relevant retrieval.
Works with any Model Context Protocol compatible tool including Cursor, Claude, Zed, Windsurf, and more.
Search and retrieve the most relevant technical documentation from your collection based on specific keywords, topics, or questions.
Fetch technical documentation content directly from a specific URL in your collection, ensuring precise information retrieval.
Access the most recently viewed or updated technical documentation in your collection for continuity in development workflows.
Empower your AI agents with the precise technical context they need—right inside your editor.
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