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Moss + MCP Server

Semantic Search for AI Coding Assistants

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About MCP Server

The @moss-tools/mcp-server package exposes Moss as a Model Context Protocol server, giving AI coding assistants like Claude Desktop, Cursor, and VS Code direct access to your knowledge base. Run it with npx - no installation required. The server provides tools for querying, indexing, and managing documents.

Why Use Moss with MCP Server

01

Zero install — run with npx

Run with `npx @moss-tools/mcp-server` — works immediately with Claude Desktop, Cursor, and VS Code

02

Full Moss API exposed as MCP tools

`query`, `create_index`, `load_index`, `add_docs`, `delete_docs`, and more

03

Conversational knowledge management

AI assistants can search your knowledge base, create indexes, and manage documents conversationally

04

Sub-10ms search latency

AI assistants get context without noticeable delay

05

Simple JSON configuration

Add to `claude_desktop_config.json` or `.cursor/mcp.json`

Quick Start

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{
  "mcpServers": {
    "moss": {
      "command": "npx",
      "args": ["-y", "@moss-tools/mcp-server"],
      "env": {
        "MOSS_PROJECT_ID": "your-project-id",
        "MOSS_PROJECT_KEY": "your-project-key"
      }
    }
  }
}

Get Started in 3 Steps

01

Add MCP server config

Add the Moss MCP server entry to your AI assistant's config file (claude_desktop_config.json for Claude Desktop, .cursor/mcp.json for Cursor).

02

Set environment variables

Provide your MOSS_PROJECT_ID and MOSS_PROJECT_KEY in the env section of the MCP config. The server authenticates with these credentials.

03

Start using tools

Restart your AI assistant. It can now query your Moss indexes, create new indexes, add documents, and manage your knowledge base through natural language.

Frequently asked questions

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