MCP Ragdocs
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About MCP Ragdocs MCP Server
MCP Ragdocs is an MCP server in the RAG & Knowledge category. It exposes python, local to connected AI applications, enabling them to interact with mcp ragdocs capabilities through the standardized Model Context Protocol.
Features
Python
Local
Category
RAG & Knowledge
Getting Started
To use the MCP Ragdocs MCP server in your AI application, follow these steps:
- Install the MCP client SDK for your platform
- Connect to the MCP Ragdocs MCP server
- Authenticate with your MCP Ragdocs credentials
- Start using the tools, resources, and prompts provided by the server
Example Code
// Connect to the MCP Ragdocs MCP server
const server = await mcp.connect("mcp ragdocs");
// List available tools
const tools = await server.tools.list();
// List available resources
const resources = await server.resources.list();
// List available prompts
const prompts = await server.prompts.list();
Installation
npm
npm install @mcp/server-mcp ragdocspip
pip install mcp-server-mcp ragdocsCompatible With
Claude Desktop
Cursor
Windsurf
Zed
Any MCP-compatible client