Stitch AI MCP Server
by
Provides tools for creating, retrieving, and managing AI agent memories through a Model Context Protocol server.
Stitch AI MCP Server Overview
What is Stitch AI MCP Server about?
A lightweight Node.js server that implements the Model Context Protocol to manage AI agent memories. It lets developers create dedicated memory spaces, upload and retrieve individual memories, and query collections of memories with filtering and pagination.
How to use Stitch AI MCP Server?
- Clone the repository
git clone https://github.com/StitchAI/stitch-ai-mcp.git - Install dependencies
npm install @modelcontextprotocol/sdk zod npm install -D @types/node typescript - Start the server
npm run start - (Optional) Integrate with Claude for Desktop – add an entry to
claude_desktop_config.jsonthat points to the server script usingnpx ts-node(see theserverConfigsection below).
Key Features of Stitch AI MCP Server
- Space Management:
create_space,delete_space,get_all_spaces. - Memory Operations:
upload_memory,get_memory,get_all_memorieswith optional name filtering, limit, and offset. - Simple CLI start via
npm run start. - Type‑safe validation using Zod.
- Easy integration with Claude for Desktop through MCP configuration.
Use Cases of Stitch AI MCP Server
- Persisting context for conversational agents across sessions.
- Building a decentralized knowledge hub where multiple AI assistants share and retrieve facts.
- Archiving and querying logs or observations generated by autonomous AI agents.
- Providing a backend for custom AI tooling that requires fast, filtered access to stored memories.
FAQ
Q: Do I need an API key?
A: Yes, the server expects an API_KEY environment variable for authentication with Stitch AI’s backend services.
Q: Can I run the server on a different port? A: The repository uses the default port defined in the source code; you can change it by modifying the server configuration or environment variables.
Q: Is there a Docker image? A: The README does not provide a Docker setup, but the Node.js app can be containerized using a standard Node base image.
Q: How do I filter memories by name?
A: Use the optional memory_names query parameter (comma‑separated) in the get_all_memories tool.
Q: What is the default pagination?
A: limit defaults to 50 and offset defaults to 0 if not supplied.
Stitch AI MCP Server's 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 createtype: 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 tomessage: The memory message to uploadmemory: The memory content to upload
get_memory
Retrieves a specific memory by ID from a memory space.
- Parameters:
space: The name of the memory spacememory_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 filterlimit: 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
-
Clone the repository
git clone https://github.com/StitchAI/stitch-ai-mcp.git -
Install dependencies
npm install @modelcontextprotocol/sdk zod npm install -D @types/node typescript -
Install Claude for Desktop
- Download and install the latest version from Claude's website
-
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
- macOS:
- Create the file if it doesn't exist
- Locate your Claude for Desktop configuration file:
-
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
- macOS:
- Add your MCP server configuration:
- Open the configuration file in a text editor:
{
"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"
}
}
}
}
- 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
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Stitch AI MCP Server's Information
- Author
- StitchAI
- Category
- Knowledge & Memory
- Language
- TypeScript
- Stars
- 1
- Updated
- 2 months ago
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"
}
}
}
}Claude Code (Terminal)
claude mcp add stitchai npx ts-node /path/to/cloned/stitch-ai-mcp/src/server.tsConfigure Clients
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