MCP-RAG

by kira1228

2 stars

273 downloads

Not rated

GitHub

Knowledge Base

About

AI-powered Chat System with multiple MCP servers.

Details

Author: kira1228
GitHub stars: 2
Downloads: 273
Categories: Knowledge Base

- Integrates Filesystem, Slack, and Brave Search MCP servers.
- Claude automatically selects the right data source per query.
- No explicit instructions needed from the user.
- Access local folders, Slack history, and live web results.
- Simple setup with environment variables and one command to run.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name MCP-RAG

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp-rag": {
            "MCP-RAG-": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-rag": {
            "MCP-RAG-": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-rag": {
            "MCP-RAG-": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "mcp-rag": {
            "MCP-RAG-": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-rag": {
            "MCP-RAG-": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-rag": {
            "MCP-RAG-": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp-rag": {
            "MCP-RAG-": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-rag": {
            "MCP-RAG-": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-rag": {
            "MCP-RAG-": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "mcp-rag": {
            "MCP-RAG-": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-rag": {
            "MCP-RAG-": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-rag": {
            "MCP-RAG-": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp-rag": {
            "MCP-RAG-": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-rag": {
            "MCP-RAG-": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp-rag": {
            "MCP-RAG-": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

From the repository

Install uv (see README for install commands), clone the repository, create a .env file with ANTHROPIC_API_KEY, SLACK_BOT_TOKEN, SLACK_TEAM_ID, and BRAVE_API_KEY, then set up a virtual environment and install dependencies with uv venv and uv sync. Run the client using uv run client.py path/to/dir/you/want/to/use.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "mcp-rag": {
            "MCP-RAG-": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

McpServers

{
    "MCP-RAG-": {
        "command": "uv",
        "args": [
            "venv"
        ]
    }
}

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

2. 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

3. 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 📚

- About MCP
- Open source MCP servers
- Claude API
- Brave search API

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.

No reviews yet — be the first

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

AI-powered chat system with multiple MCP servers.

🌟 Overview

General Architecture 🛠️

Getting Started! 🚀

Prerequisites 🤝

Windows

Setup ⚙️

Add your API credentials

ANTHROPIC_API_KEY: Used for Claude AI integration

SLACK_BOT_TOKEN & SLACK_TEAM_ID: Required for Slack integration

BRAVE_API_KEY: Used for Brave search capabilities

Windows

Usage 💻

References 📚

License 🔑

Install

More like this

Aws Kb Retrieval Server

Memory

Context 7

MaxKB

AWS MCP Servers

Git (GitHub to MCP)