pulsemcp scanned Safe content atomic mcp-remote

GitLab

This MCP server provides AI assistants with GitLab integration capabilities for merge request management and code review workflows, built using Python with async HTTP client support and comprehensive error handling. The implementation offers four core tools: listing merge requests with filtering by state and target branch, retrieving detailed merge request information including pipeline status and change statistics, accessing review discussions and approval data, and finding merge requests associated with specific branches. Built with environment-based configuration, proper GitLab API authentication using private tokens, and structured JSON responses, it serves development teams needing AI-powered GitLab workflow automation, code reviewers requiring programmatic access to merge request data, and organizations wanting to integrate GitLab's collaboration features into their AI-assisted development processes.

Cognium trust score
93%
Tier
Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
version-control
Source
PulseMCP
Author type
human
Last scanned
2026-09-28
Updated
2026-09-28
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Use via MCP

MCP

Resolve GitLab 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.

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