Deepsource MCP Server
D

Deepsource MCP Server

The DeepSource MCP Server is a service that implements the Model Context Protocol, used to connect the DeepSource code quality analysis platform with an AI assistant, providing functions for querying code quality indicators, issues, and accessing analysis results.
2 points
8.0K

What is the DeepSource MCP Server?

This is a service that connects an AI assistant (such as Claude) with the DeepSource code quality analysis platform. It allows the AI assistant to query the code quality indicators, analysis results, and historical trends of a project, helping developers better understand and manage code quality.

How to use the DeepSource MCP Server?

It can be enabled by adding the MCP server settings to the configuration of an AI assistant (such as Claude Desktop). It supports two quick startup methods, Docker and NPX, without complex installation.

Use cases

It is suitable for development scenarios that require an AI assistant to assist in analyzing code quality, such as code review assistance, technical debt analysis, quality trend tracking, and problem classification management.

Main features

DeepSource API integration
Seamlessly connect to the DeepSource platform through the GraphQL API to obtain real - time code analysis data
MCP protocol support
Fully compatible with the Model Context Protocol to ensure efficient communication with various AI assistants
Issue filtering function
Supports filtering code issues by multiple dimensions such as project, time range, and issue type
Quality trend analysis
Provides trend data on the change of project code quality over time to help identify improvement effects
Advantages
Simplify the process for the AI assistant to obtain code quality data
Support multiple deployment methods (Docker/NPX/Node.js)
Provide rich code quality indicators and issue details
Real - time data synchronization to ensure information timeliness
Limitations
Requires a valid DeepSource API key
Only supports projects analyzed by the DeepSource platform
Advanced features require DeepSource Enterprise Edition support

How to use

Get a DeepSource API key
Log in to your DeepSource account and create an API key in the settings
Configure the AI assistant
Add the MCP server settings to the configuration file of an AI assistant such as Claude Desktop
Restart the AI assistant
Restart the AI assistant after applying the configuration to load the MCP server

Usage examples

Code review assistance
During the code review process, the AI assistant can query the code quality issues of relevant files in real - time
Technical debt analysis
Evaluate the accumulated technical debt in a project

Frequently Asked Questions

How to get a DeepSource API key?
Which AI assistants are supported?
What is the data update frequency?

Related resources

DeepSource official documentation
Complete function documentation of the DeepSource platform
GitHub repository
Project source code and issue tracking
Model Context Protocol specification
Technical specification document of the MCP protocol

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "deepsource": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DEEPSOURCE_API_KEY",
        "sapientpants/deepsource-mcp-server"
      ],
      "env": {
        "DEEPSOURCE_API_KEY": "your-deepsource-api-key"
      }
    }
  }
}

{
  "mcpServers": {
    "deepsource": {
      "command": "npx",
      "args": [
        "-y",
        "deepsource-mcp-server@1.0.2"
      ],
      "env": {
        "DEEPSOURCE_API_KEY": "your-deepsource-api-key"
      }
    }
  }
}

{
  "mcpServers": {
    "deepsource": {
      "command": "node",
      "args": [
        "/path/to/deepsource-mcp-server/dist/index.js"
      ],
      "env": {
        "DEEPSOURCE_API_KEY": "your-deepsource-api-key"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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