MCP RAG
@kira1228
About MCP RAG
AI-powered Chat System with multiple MCP servers.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"MCP-RAG": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is MCP RAG?
MCP RAG is an AI-powered chat system built on the Model Context Protocol (MCP) client-server architecture. It connects to multiple specialized MCP servers—Filesystem, Slack, and Brave Search—to give Claude access to local files, Slack conversations, and real-time web search. This system is for users who want a single interface that automatically retrieves context from diverse sources without manual server selection.
How to use MCP RAG?
First, install uv (see README for commands). Then clone the repository, create a .env file with your ANTHROPIC_API_KEY, SLACK_BOT_TOKEN, SLACK_TEAM_ID, and BRAVE_API_KEY. Create a virtual environment and install dependencies using uv venv and uv sync. Finally, run the client with uv run client.py path/to/dir/you/want/to/use.
Key features of MCP RAG
- Integrates with local filesystem, Slack, and Brave Search servers.
- Automatically selects the right server based on user query.
- Powered by Claude AI (Anthropic API).
- Built on standard MCP client-server architecture.
- Open source under MIT License.
- Dependencies managed via
uv.
Use cases of MCP RAG
- Search and retrieve information from local folders via Filesystem server.
- Query Slack workspace history for conversations and shared resources.
- Perform real-time web searches to fetch latest information.
- Combine multiple data sources seamlessly without explicit instructions.
FAQ from MCP RAG
What dependencies are required to run MCP RAG?
The system requires uv for package and environment management, plus API keys for Anthropic, Slack, and Brave Search.
How do I configure the API keys?
Create a .env file in the project root and add ANTHROPIC_API_KEY, SLACK_BOT_TOKEN, SLACK_TEAM_ID, and BRAVE_API_KEY with your credentials.
What data sources does MCP RAG support?
MCP RAG uses three MCP servers: Filesystem (local folders), Slack (workspace conversations), and Brave Search (web). The system intelligently chooses which to query.
Is MCP RAG open source?
Yes, it is licensed under the MIT License, allowing free use, modification, and distribution.
How does MCP RAG decide which server to use?
Claude analyzes the question and automatically selects the appropriate MCP server (Filesystem, Slack, or Brave Search) without requiring explicit user instructions.
More Memory & Knowledge MCP servers
Context7 MCP - Up-to-date Docs For Any Cursor Prompt
upstashContext7 Platform -- Up-to-date code documentation for LLMs and AI code editors
Zettelkasten MCP Server
entanglrA Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, explore and synthesize atomic notes through Claude and other MCP-compatible clients.
Obsidian MCP Server
StevenStavrakisA simple MCP server for Obsidian
MCP server for Obsidian
MarkusPfundsteinMCP server that interacts with Obsidian via the Obsidian rest API community plugin
Semantic Scholar MCP Server
YUZongminA FastMCP server implementation for the Semantic Scholar API, providing comprehensive access to academic paper data, author information, and citation networks.
Comments