mcpField
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MCP-RAG

MCP-RAG

Local
github.com/kira1228Memory & Knowledge2Updated 79w ago

About MCP-RAG

MCP-RAG is a chat system that routes questions to filesystem, Slack, or Brave Search MCP servers. It is for people who want Claude to draw on local documents, workspace conversations, and web results without choosing a source manually.

Key features

  1. 01Routes queries to relevant servers
  2. 02Searches and retrieves local files
  3. 03Accesses Slack conversations and resources
  4. 04Uses Brave Search for web results

Use cases

  1. 01Finding information in local folders
  2. 02Referencing Slack discussions
  3. 03Getting current information from the web

MCP support

It connects Claude to filesystem, Slack, and Brave Search MCP servers. The system selects a server according to the query.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

AI-powered chat system with multiple MCP servers.

🌟 Overview

MCP is a powerful client-server architecture that enables host applications to connect with multiple AI servers seamlessly. This system offers enhanced capabilities through specialized MCP servers:

  • MCP Filesystem: Allows Claude to search and retrieve information from your specified local folders, making your documents and files accessible to the AI.

  • MCP Slack Server: Connects to your Slack workspace, enabling Claude to access and reference your conversations, channels, and shared resources.

  • MCP Brave-Search: Provides real-time web search capabilities, allowing Claude to find and incorporate the latest information from the internet.

The system intelligently determines which server to utilize based on your queries. Claude automatically analyzes your questions and decides whether to search your local files, check Slack history, or perform a web search - all without requiring explicit instructions from you.

General Architecture 🛠️

At its core, MCP follows a client-server architecture where a host application can connect to multiple servers:

MCP Architecture Diagram

Getting Started! 🚀

Prerequisites 🤝

You need to install uv to run this project.

# MacOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Windows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Setup ⚙️
  1. Clone the repository.
git clone https://github.com/kira1228/mcp-chat-bot.git
cd mcp-chat-bot
  1. Create a .env file with your API keys:
# Create the .env file
touch .env

# Add your API credentials
# ANTHROPIC_API_KEY: Used for Claude AI integration
echo "ANTHROPIC_API_KEY=<your api key>" >> .env

# SLACK_BOT_TOKEN & SLACK_TEAM_ID: Required for Slack integration
echo "SLACK_BOT_TOKEN=<your api key>" >> .env
echo "SLACK_TEAM_ID=<your api key>" >> .env

# BRAVE_API_KEY: Used for Brave search capabilities
echo "BRAVE_API_KEY=<your api key>" >> .env
  1. Create a virtual environment and install the dependencies.
# MacOS/Linux
uv venv
source .venv/bin/activate
uv sync

# Windows
uv venv
.venv\Scripts\activate
uv sync
Usage 💻

Run the client with arguments for the server.

uv run client.py path/to/dir/you/want/to/use

References 📚

License 🔑

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.