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DeepSource MCP Server

@sapientpants

Repository

Basic information

Category

Other

License

MIT license

Transports

stdio

Author

sapientpants

About DeepSource MCP Server

Model Context Protocol (MCP) server for DeepSource

#typescript#mcp#deepsource#model-context-protocol#mcp-server#model-context-protocol-servers

DeepSource MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "deepsource": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DEEPSOURCE_API_KEY",
        "sapientpants/deepsource-mcp-server"
      ],
      "env": {
        "DEEPSOURCE_API_KEY": "your-deepsource-api-key"
      }
    }
  }
}

DeepSource MCP Server tools

4

No required parameters

`projectKey` (required) - The unique identifier for the DeepSource project

`projectKey` (required) - The unique identifier for the DeepSource project

`runIdentifier` (required) - The runUid (UUID) or commitOid (commit hash) to identify the run

Overview

What is DeepSource MCP Server?

The DeepSource MCP Server is a Model Context Protocol (MCP) server that integrates with DeepSource to give AI assistants access to code quality metrics, issues, and analysis results. It enables AI assistants to retrieve code metrics, filter issues, check quality status, and analyze project quality over time via DeepSource’s GraphQL API.

How to use DeepSource MCP Server?

Install via npm (npx deepsource-mcp-server@1.1.0) or run the Docker image (sapientpants/deepsource-mcp-server). Provide your DeepSource API key as the environment variable DEEPSOURCE_API_KEY. Configure the server in your AI assistant’s MCP client, e.g., by adding a deepsource entry to claude_desktop_config.json with the appropriate command and environment variable.

Key features of DeepSource MCP Server

  • Integrates with DeepSource via GraphQL API
  • Implements the Model Context Protocol for AI assistants
  • Retrieves project lists, issues, and analysis runs
  • Supports pagination and filtering of results
  • Built with TypeScript for type safety
  • Runs on Linux, macOS, and Windows

Use cases of DeepSource MCP Server

  • An AI assistant checks the latest code quality issues from a DeepSource project
  • A developer queries analysis run history for a specific project
  • An automated workflow retrieves issue details for a given commit
  • A code review tool surfaces DeepSource findings during pull request analysis

Frequently asked questions

1

What does the DeepSource MCP Server do?

It acts as a bridge between AI assistants (via the Model Context Protocol) and DeepSource’s code quality analysis platform, allowing assistants to query projects, issues, and analysis runs.

2

What are the prerequisites for running this server?

Node.js 20 or higher and pnpm 10.7.0 or higher for local builds, or Docker for containerized deployment. You also need a DeepSource API key.

3

How do I provide my DeepSource API key?

Set the environment variable `DEEPSOURCE_API_KEY` when starting the server. Examples are shown in the configuration snippets for Docker and npx.

4

What tools does the server expose?

Four tools: `deepsource_projects` (list projects), `deepsource_project_issues` (get issues with optional pagination), `deepsource_project_runs` (list analysis runs with pagination), and `deepsource_run` (get a specific run by runUid or commitOid).

5

Where can I find the source code and license?

The repository is on GitHub at `sapientpants/deepsource-mcp-server` and is licensed under the MIT license.

Comments

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