官方说明3 个来源MCP 服务3 天前
StitchAI/stitch-ai-mcp
Decentralized Knowledge Hub for AI
官方说明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.
- 来源明细
- 收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
- 收录与活跃
- 收录于 2026-10-14 · 最近见到 2026-10-16 · 共见到 4 次 · 被 3 个来源列出
- 评分构成
- 综合分 303 · 3 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-10-14;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
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
- 来源
- awesome
· https://github.com/StitchAI/stitch-ai-mcp
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