# DeepSource

> Use this tool when you need to integrate code quality analysis into your AI workflow, solving problems such as monitoring code metrics and troubleshooting issues. It takes API requests as input and outputs formatted JSON responses containing project issues, analysis runs, and run details. Use DeepSource when developing software and wanting to access code quality data within your AI assistant conversation.

Canonical page: https://skillsregistry.net/skills/sapientpants-deepsource  
JSON: https://api.skillsregistry.net/v1/skills/sapientpants-deepsource

## Description

DeepSource MCP Server integrates with DeepSource's code quality analysis platform, enabling AI assistants to access code metrics, issues, and analysis results through a set of specialized tools. Developed by Marc Tremblay, this TypeScript implementation provides four main tools: listing projects, retrieving project issues with pagination support, accessing analysis runs, and fetching specific run details. The server connects to DeepSource's GraphQL API and formats responses in a consistent JSON structure, making it particularly valuable for developers who want to monitor code quality metrics and troubleshoot issues without leaving their AI assistant conversation.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sapientpants-deepsource)
- **Repository:** <https://github.com/sapientpants/deepsource-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sapientpants-deepsource"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sapientpants-deepsource` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sapientpants-deepsource/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt