What is Lspace?
Lspace is an open-source API and MCP server that lets you capture insights from AI sessions and make them available across tools, turning conversations into persistent, searchable knowledge.
@Lspace-io
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"lspace": {
"command": "node",
"args": [
"/actual/absolute/path/to/your/lspace-server/lspace-mcp-server.js"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Lspace is an open-source API backend and MCP (Model Context Protocol) server that captures insights from any AI session and makes them available across tools, turning scattered conversations into persistent, searchable knowledge. It enables developers to integrate intelligent knowledge base generation and management into their workflows, connecting AI agents and other tools to managed content repositories.
Clone the repository (git clone https://github.com/Lspace-io/lspace-server.git), install dependencies (npm install), build the project (npm run build), then configure the .env file (set OPENAI_API_KEY) and config.local.json (add GitHub PATs and repository definitions). Finally, configure an MCP client such as Cursor or Claude Desktop to run the lspace-mcp-server.js script, providing the absolute path to the built server.
Lspace is an open-source API and MCP server that lets you capture insights from AI sessions and make them available across tools, turning conversations into persistent, searchable knowledge.
Clone the repo, run `npm install` and `npm run build`, configure `.env` (with `OPENAI_API_KEY`) and `config.local.json` (with GitHub PATs and repositories), then tell your MCP client (Cursor or Claude Desktop) to execute `lspace-mcp-server.js` with the absolute path.
Node.js (LTS recommended, includes npm) and Git are required.
Create a GitHub Personal Access Token (PAT) with the `repo` scope, then add it under `credentials.github_pats` in `config.local.json` with an alias.
Yes. After building, run `npm run dev` for development or `npm start` for production. This starts the full application (REST API and MCP functionalities).
A search tool helps dev to solve the naming things problem.

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