About Stitch AI
Stitch AI is an MCP server published by StitchAI in the Developer Tools category: knowledge management system for AI agents with memory space creation and retrieval capabilities.
The repository has 39 stars and 6 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/StitchAI/stitch-ai-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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- ✓README presentThe repository ships documentation.
- !License declaredNo license file. Legally you have no right to use it in a product.
- !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
- ✓Dependencies pinnedA lockfile pins dependency versions.
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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
README fetched from the repository 8 days ago. The original is authoritative.