Kontxt MCP Server

by ReyNeill

10 194 downloads Not rated yet

GitHub

About

Indexes local code repositories to provide codebase context to AI clients.

Explore

- Connects to a user-specified local code repository.
- Provides the (get_codebase_context) tool for AI clients (like Cursor, Claude Desktop).
- Uses Gemini 2.0 Flash's 1M input window internally to analyze the codebase and generate context based on the user's client querry.
- Flash itself can use internal tools (list_repository_structure, read_files, grep_codebase) to understand the code.
- Supports both SSE (recommended) and stdio transport protocols.
- Supports user-attached files/docs/context from client's queries for more targeted analysis.
- Tracks token usage and provides detailed analysis of API consumption.
- User-configurable token limit for context generation (options: 500k, 800k, or 1M tokens; default: 800k).

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 Kontxt MCP Server

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": {
        "kontxt mcp server": {
            "Kontxt": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "kontxt mcp server": {
            "Kontxt": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "kontxt mcp server": {
            "Kontxt": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "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": {
        "kontxt mcp server": {
            "Kontxt": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "kontxt mcp server": {
            "Kontxt": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "kontxt mcp server": {
            "Kontxt": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "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": {
        "kontxt mcp server": {
            "Kontxt": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "kontxt mcp server": {
            "Kontxt": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "kontxt mcp server": {
            "Kontxt": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "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": {
        "kontxt mcp server": {
            "Kontxt": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "kontxt mcp server": {
            "Kontxt": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "kontxt mcp server": {
            "Kontxt": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "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": {
        "kontxt mcp server": {
            "Kontxt": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "kontxt mcp server": {
            "Kontxt": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "kontxt mcp server": {
            "Kontxt": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

From the repository

1. Clone/Download: Get the server code.
2. Create Environment:

    python -m venv venv

    source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install Dependencies:

    pip install -r requirements.txt

4. Install tree: Ensure the tree command is available on your system.
- macOS: brew install tree
- Debian/Ubuntu: sudo apt update && sudo apt install tree
- Windows: Requires installing a port or using WSL.
5. Configure API Key:
- Copy .env.example to .env.
- Edit .env and add your Google Gemini API Key:

      GEMINI_API_KEY="YOUR_ACTUAL_API_KEY"

- Alternatively, you can provide the key via the --gemini-api-key command-line argument.

By default, the server runs in SSE mode, which allows you to:
- Start the server independently
- Connect from multiple clients
- Keep it running while restarting clients

Run the server:

python kontxt_server.py --repo-path /path/to/your/codebase

PS: you can use ``pwd` to list the project path

The server will start on http://127.0.0.1:8080/sse by default.


For additional options:

python kontxt_server.py --repo-path /path/to/your/codebase --host 0.0.0.0 --port 6900


If you prefer to have the client start and manage the server process:
python kontxt_server.py --repo-path /path/to/your/codebase --transport stdio

For this mode, configure your ~/.cursor/mcp.json file like this:


{
  "mcpServers": {
    "kontxt-server": {
      "serverType": "stdio",
      "command": "python",
      "args": ["/absolute/path/to/kontxt_server.py", "--repo-path", "/absolute/path/to/your/codebase", "--transport", "stdio"],
      "env": {
        "GEMINI_API_KEY": "your-api-key-here"
      }
    }
  }
}

For security, wildcard CORS is not used. By default, only loopback origins are allowed:

- http://127.0.0.1, http://localhost, and the bound host:port.


To allow specific web clients during development, pass explicit origins or use an env var:
python kontxt_server.py \
  --repo-path /path/to/your/codebase \
  --cors-origins http://localhost:3000,http://127.0.0.1:5173
KONTXT_CORS_ORIGINS="http://localhost:3000,http://127.0.0.1:5173" \

python kontxt_server.py --repo-path /path/to/your/codebase

Notes: - Allowed methods:GET, OPTIONS. Headers: all. Credentials: off unless --cors-credentials` is set.

Example queries:
- "What's this codebase about"
- "How does the authentication system work?"
- "Explain the data flow in the application"

PS: you can further specify the agent to use the MCP tool if it's not using it: "What is the last word of the third codeblock of the auth file? Use the MCP tool available."

The server tracks token usage across different operations:
- Repository structure listing
- File reading
- Grep searches
- Attached files from user queries
- Generated responses

This information is logged during operation, helping you monitor API usage and optimize your queries.

PD: want the tool to improve? PR's are open.

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "kontxt mcp server": {
            "Kontxt": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

McpServers

{
    "Kontxt": {
        "command": "python",
        "args": [
            "-m",
            "venv",
            "venv"
        ]
    }
}

A Model Context Protocol (MCP) server that tries to solve condebase indexing (until agents can).

Features

Setup

1. Clone/Download: Get the server code.
2. Create Environment:

    python -m venv venv

    source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install Dependencies:

    pip install -r requirements.txt

      GEMINI_API_KEY="YOUR_ACTUAL_API_KEY"

- Alternatively, you can provide the key via the --gemini-api-key command-line argument.

Running as a Standalone Server (Recommended)

By default, the server runs in SSE mode, which allows you to:
- Start the server independently
- Connect from multiple clients
- Keep it running while restarting clients

Run the server:

python kontxt_server.py --repo-path /path/to/your/codebase

PS: you can use ``pwd` to list the project path

The server will start on http://127.0.0.1:8080/sse by default.


For additional options:

python kontxt_server.py --repo-path /path/to/your/codebase --host 0.0.0.0 --port 6900


Shutting Down the Server

The server can be stopped by pressing Ctrl+C in the terminal where it's running. The server will attempt to close gracefully with a 3-second timeout.


Connecting to the Server from client (Cursor example)

Once your server is running, you can connect Cursor to it by editing your ~/.cursor/mcp.json file:


{
  "mcpServers": {
    "kontxt-server": {
      "serverType": "sse",
      "url": "http://localhost:8080/sse"
    }
  }
}

PS: remember to always refresh the MCP server on Cursor Settings or other client to connect to the MCP via sse
Alternative: Running with stdio Transport
If you prefer to have the client start and manage the server process:
python kontxt_server.py --repo-path /path/to/your/codebase --transport stdio

For this mode, configure your ~/.cursor/mcp.json file like this:


{
  "mcpServers": {
    "kontxt-server": {
      "serverType": "stdio",
      "command": "python",
      "args": ["/absolute/path/to/kontxt_server.py", "--repo-path", "/absolute/path/to/your/codebase", "--transport", "stdio"],
      "env": {
        "GEMINI_API_KEY": "your-api-key-here"
      }
    }
  }
}

Command Line Arguments

- --repo-path PATH: Required. Absolute path to the local code repository to analyze. ---gemini-api-key KEY: Google Gemini API Key (overrides .envif provided). ---token-threshold NUM: Target maximum token count for the context. Allowed values are: - 500000 - 800000 (default) - 1000000 ---gemini-model NAME: Specific Gemini model to use (default: models/gemini-2.5-flash-preview-04-17). ---tokenizer-model NAME: Hugging Face tokenizer id for token estimation (default: google/gemma-7b; override via KONTXT_TOKENIZER_MODEL). ---transport {stdio,sse}: Transport protocol to use (default: sse). ---host HOST: Host address for the SSE server (default: 127.0.0.1). ---port PORT: Port for the SSE server (default: 8080). ---cors-origins ORIGINS: Comma-separated list of allowed CORS origins. If omitted, defaults to loopback only. ---cors-credentials: Allow credentials for CORS (disabled by default).


CORS Configuration
For security, wildcard CORS is not used. By default, only loopback origins are allowed:

- http://127.0.0.1, http://localhost, and the bound host:port.


To allow specific web clients during development, pass explicit origins or use an env var:

``bash
python kontxt_server.py \
--repo-path /path/to/your/codebase \
--cors-origins http://localhost:3000,http://127.0.0.1:5173

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

Explore

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Features

Setup

Running as a Standalone Server (Recommended)

Shutting Down the Server

Connecting to the Server from client (Cursor example)

Alternative: Running with stdio Transport

Command Line Arguments

CORS Configuration

More like this

Sequential Thinking

Aws Kb Retrieval Server

Memory

Sentry