MCP.so
登录

DeepSource MCP Server

@sapientpants

代码仓库

关于 DeepSource MCP Server

Model Context Protocol (MCP) server for DeepSource

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

基本信息

分类

其他

许可证

MIT license

运行时

node

传输方式

stdio

发布者

sapientpants

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

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

概览

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 [email protected]) 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

FAQ from DeepSource MCP Server

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.

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.

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.

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).

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.

评论

其他 分类下的更多 MCP 服务器

Blender

ahujasid

Open-source MCP to use Blender with any LLM

23.6K

Core Philosophy: Connect, Unify, Respond

mindsdb

Delegate anything. It comes back done.

39.4K

Activepieces

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

23.2K

Production-ready MCP integrations for AI applications

Klavis-AI

Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale

5.8K

Unity MCP ✨

justinpbarnett

Unity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.

12.2K