pulsemcp Safe content atomic mcp-remote

DeepSource

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.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: monitoring
Source: PulseMCP
Repository: github.com/sapientpants/deepsource-mcp-server
Author type: human
Updated: 2026-04-25

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MCP

Resolve DeepSource from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"