gitlab-mcp and GitIntel-MCP-Server

gitlab-mcp
54
Established
GitIntel-MCP-Server
42
Emerging
Maintenance 13/25
Adoption 11/25
Maturity 18/25
Community 12/25
Maintenance 13/25
Adoption 4/25
Maturity 9/25
Community 16/25
Stars: 2
Forks: 1
Downloads: 5,168
Commits (30d): 0
Language: TypeScript
License: Apache-2.0
Stars: 8
Forks: 6
Downloads: —
Commits (30d): 0
Language: TypeScript
License: MIT
No risk flags
No Package No Dependents

About gitlab-mcp

structured-world/gitlab-mcp

Advanced GitLab MCP server

Implements 44 tools across 18 GitLab entity types (projects, MRs, pipelines, work items, wiki) using CQRS architecture with `browse_*` query and `manage_*` command patterns. Supports multi-instance deployments with per-instance OAuth 2.1, multiple transports (stdio, SSE, StreamableHTTP), and fine-grained feature flags for selective tool enablement. Integrates directly with Claude Desktop, VS Code, and other MCP clients via npm or Docker.

About GitIntel-MCP-Server

hoangsonww/GitIntel-MCP-Server

A Git intelligence MCP server built with Node.js and TypeScript that analyzes local Git repositories to surface insights like hotspots, churn, temporal coupling, knowledge maps, and risk scoring. Designed for AI agents, it exposes repository analytics tools through the Model Context Protocol (MCP) while keeping all data local and read-only.

Exposes 12 specialized analysis tools (hotspots, temporal coupling, knowledge maps, churn, complexity trends, risk scoring) that transform raw git output through multi-stage pipelines into scored, formatted tables and actionable insights. Built on stdio JSON-RPC transport with safe subprocess execution via `execFile`, it auto-detects repositories from working directory or accepts explicit paths, and ships with pre-computed resources (repository summary, activity feeds) for quick snapshot access. Designed for local-first deployment across Claude Code, Codex, and other MCP clients—includes Docker multi-stage builds, Kubernetes Kustomize manifests, and Terraform/CloudFormation templates for containerized or cloud-native environments.

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