This MCP server integrates with Sourcegraph to provide AI-enhanced code search capabilities across multiple repositories and codebases. It offers powerful search features with advanced query syntax, making it ideal for AI assistants that need to find and understand code patterns in large codebases.
# Install dependencies
uv sync
# Run the server
uv run sourcegraph-mcp
# Create virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install package
pip install -e .
# Run the server
python -m src.main
# Build the image
docker build -t sourcegraph-mcp .
# Run the container with default ports
docker run -p 8000:8000 -p 8080:8080 \
-e SRC_ENDPOINT=https://sourcegraph.com \
-e SRC_ACCESS_TOKEN=your-token \
sourcegraph-mcp
# Or run with custom ports
docker run -p 9000:9000 -p 9080:9080 \
-e SRC_ENDPOINT=https://sourcegraph.com \
-e SRC_ACCESS_TOKEN=your-token \
-e MCP_SSE_PORT=9000 \
-e MCP_STREAMABLE_HTTP_PORT=9080 \
sourcegraph-mcp
SRC_ENDPOINT
: Sourcegraph instance URL (e.g., https://sourcegraph.com)SRC_ACCESS_TOKEN
: Authentication token for private Sourcegraph instancesMCP_SSE_PORT
: SSE server port (default: 8000)MCP_STREAMABLE_HTTP_PORT
: HTTP server port (default: 8080)After running the MCP server, add the following to your .cursor/mcp.json
file:
{
"mcpServers": {
"sourcegraph": {
"url": "http://localhost:8080/sourcegraph/mcp/"
}
}
}
This server provides three powerful tools for AI assistants:
Search across codebases using Sourcegraph's advanced query syntax with support for regex, language filters, and boolean operators.
Generate a context-aware guide for constructing effective search queries based on your specific objective.
Retrieve file contents or explore directory structures from repositories.
To add this MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "sourcegraph" '{"url":"http://localhost:8080/sourcegraph/mcp/"}'
See the official Claude Code MCP documentation for more details.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"sourcegraph": {
"url": "http://localhost:8080/sourcegraph/mcp/"
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%\Claude\claude_desktop_config.json
~/.config/Claude/claude_desktop_config.json
2. Add this to your configuration file:
{
"mcpServers": {
"sourcegraph": {
"url": "http://localhost:8080/sourcegraph/mcp/"
}
}
}
3. Restart Claude Desktop for the changes to take effect