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StitchAI/stitch-ai-mcp
Decentralized Knowledge Hub for AI
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Official descriptionStitch 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.
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-10-14 · last seen 2026-10-16 · seen 4× · listed by 3 sources
- Score
- score 303 · 3 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
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We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-10-14；last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals
Stitch AI's MCP Server
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
> 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
---
Using with Claude Desktop
1. **Clone the repository**
2. **Install dependencies**
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
> 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
---
Using with Claude Desktop
1. **Clone the repository**
2. **Install dependencies**
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
- Source
- awesome · https://github.com/StitchAI/stitch-ai-mcp
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