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stitchai/stitch-ai-mcp

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This repository contains a Model Context Protocol (MCP) server implementation for Stitch AI's memory management system.

Overview

This repository contains a Model Context Protocol (MCP) server implementation for Stitch AI's memory management system. The server provides tools for creating, retrieving, and managing AI agent memories. The MCP server provides the following tools: Creates a new memory space with the specified name. - Parameters: - space_name: The name of the memory space to create - type: The type of memory space to create Deletes a memory space with the specified name. - Parameters: - space_name: The name of the memory space to delete Gets a list of all available memory spaces. - Parameters: None Uploads a new memory to a specified memory space. - Parameters: - space: The name of the memory space to upload to - message: The memory message to upload - memory: The memory content to upload Retrieves a specific memory by ID from a memory space. - Parameters: - space: The name of the memory space - memory_id: The ID of the memory to retrieve Retrieves all memories from a specified memory space.

README

Stitch AI’s MCP Server

Decentralized Knowledge Hub for AI

This repository contains a Model Context Protocol (MCP) server implementation for Stitch AI’s memory management system. The server provides tools for creating, retrieving, and managing AI agent memories.


Available Tools

The MCP server provides the following tools:

create_space

Creates a new memory space with the specified name.

  • Parameters:
    • space_name: The name of the memory space to create
    • type: The type of memory space to create

delete_space

Deletes a memory space with the specified name.

  • Parameters:
    • space_name: The name of the memory space to delete

get_all_spaces

Gets a list of all available memory spaces.

  • Parameters: None

upload_memory

Uploads a new memory to a specified memory space.

  • Parameters:
    • space: The name of the memory space to upload to
    • message: The memory message to upload
    • memory: The memory content to upload

get_memory

Retrieves a specific memory by ID from a memory space.

  • Parameters:
    • space: The name of the memory space
    • memory_id: The ID of the memory to retrieve

get_all_memories

Retrieves all memories from a specified memory space.

  • Parameters:
    • space: The name of the memory space to retrieve memories from
    • Optional Parameters:
      • memory_names: Comma-separated list of memory names to filter
      • limit: Maximum number of memories to return (default: 50)
      • offset: Number of memories to skip (default: 0)

Run the server

npm run start

Using with Claude Desktop

  1. Clone the repository

    git clone https://github.com/StitchAI/stitch-ai-mcp.git
    
  2. Install dependencies

    npm install @modelcontextprotocol/sdk zod
    npm install -D @types/node typescript
    
  3. Install Claude for Desktop

    • Download and install the latest version from Claude’s website
  4. Configure Claude for Desktop

    • Locate your Claude for Desktop configuration file:
      • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
      • Windows: %AppData%\Claude\claude_desktop_config.json
    • Create the file if it doesn’t exist
  5. Edit Configuration File

    • Open the configuration file in a text editor:
      • macOS: code ~/Library/Application\ Support/Claude/claude_desktop_config.json
      • Windows: code $env:AppData\Claude\claude_desktop_config.json
    • Add your MCP server configuration:
{
    "mcpServers": {
        "stitchai": {
            "command": "npx",
            "args": [
                "ts-node",
                "/path/to/cloned/stitch-ai-mcp/src/server.ts"
            ],
            "env": {
                "API_KEY": "",
                "BASE_URL": "https://api-demo.stitch-ai.co"
            }
        }
    }
}
  1. Restart Claude for Desktop
    • After saving the configuration file, restart Claude for Desktop
    • The MCP UI elements will appear in Claude for Desktop once at least one server is properly configured

Contact

https://x.com/StitchAI_hq

View the full README on GitHub

Install

npx ts-node /path/to/cloned/stitch-ai-mcp/src/server.ts
New to MCP? Start with the mcpskill.org guide →

Configuration

{ "mcpServers": { "stitchai": { "command": "npx", "args": [ "ts-node", "/path/to/cloned/stitch-ai-mcp/src/server.ts" ], "env": { "API_KEY": "<STITCH_AI_API_KEY>", "BASE_URL": "https://api-demo.stitch-ai.co" } } } }