pulsemcp Safe content atomic mcp-remote

SonarCloud

This MCP server provides SonarCloud API integration for fetching and analyzing code quality issues related to pull requests, enabling developers to retrieve detailed issue data with filtering by severity, type, assignee, and status. Built by dozzman using TypeScript with the MCP SDK and Docker support, it offers two core tools for fetching raw SonarCloud issues with extensive parameter support matching the full API specification, and generating high-level issue summaries with metrics like bug counts, vulnerability counts, technical debt, and top violated rules. The implementation features flexible authentication via API tokens, environment variable configuration for organization and project settings, and supports the special '__me__' assignee placeholder for filtering issues assigned to the current user, making it valuable for automated code review workflows, quality gate enforcement, and building AI assistants that need direct access to SonarCloud analysis results without manual platform interaction.

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: version-control
Source: PulseMCP
Repository: github.com/dozzman/sonarcloud-mcp
Author type: human
Updated: 2026-04-25

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MCP

Resolve SonarCloud 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"