MCP APP

@sdkim96

代码仓库

基本信息

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其他

传输方式

stdio

作者

sdkim96

关于 MCP APP

MCP Server Application with RAG

MCP APP 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-app": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

MCP APP 工具

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。

概览

What is MCP APP?

MCP APP is an MCP server application that provides RAG (Retrieval-Augmented Generation) and web searching tools for LLMs. It allows the LLM to retrieve knowledge from a vectorstore and add documents, augmenting the knowledge available to the model. It is designed for use with MCP clients such as Claude Desktop.

How to use MCP APP?

For development, run uv sync, then source .venv/bin/activate, followed by mcp dev run. To integrate with Claude Desktop, run mcp install server.py --env-file .env --with sqlalchemy --with pgvector --with openai --with "psycopg[binary]" --with pydantic --with python-dotenv --with tavily-python.

Key features of MCP APP

RAG tools for knowledge retrieval and document addition.
Web searching tools for real-time information access.
Uses PostgreSQL with PGVector as vectorstore.
OpenAI embeddings for vector representations.
Integrates with Claude Desktop via MCP protocol.

Use cases of MCP APP

Enabling LLMs to retrieve and add documents to a vectorstore.
Performing web searches to supplement LLM knowledge.
Using Claude Desktop to interact with custom RAG pipelines.
Augmenting existing knowledge bases with new documents on the fly.

常见问题

How do I run MCP APP in development?

Use `uv sync`, then `source .venv/bin/activate`, followed by `mcp dev run`.

How do I install MCP APP for Claude Desktop?

Run the command: `mcp install server.py --env-file .env --with sqlalchemy --with pgvector --with openai --with "psycopg[binary]" --with pydantic --with python-dotenv --with tavily-python`.

What dependencies does MCP APP require?

The README lists SQLAlchemy, pgvector, OpenAI, PostgreSQL, and additional packages: psycopg (binary), pydantic, python-dotenv, and tavily-python.

Does MCP APP need a database?

Yes, it uses PostgreSQL as the SQL database and PGVector as the vectorstore, with SQLAlchemy for ORM interaction.

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