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    Enables interaction with Azure DevOps services through Personal Access Token authentication. Provides 75 tools for managing work items, builds, repositories, pull requests, and other DevOps operations via both CLI and HTTP API interfaces.
    70
    1
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    A TypeScript template for building MCP servers with reusable infrastructure including typed fetch client, rate limiting, caching, OAuth support, and CI/release tooling.
    1
    12 npm
    MIT
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    A production-ready MCP server scaffold that features built-in authentication, Docker support, and a comprehensive CI/CD release pipeline. It provides a standardized template for deploying servers with multi-transport support and configurable read-only modes.
    MIT
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    Enables AI agents and MCP clients to manage projects, merge requests, issues, pipelines, wiki, releases, tags, milestones, and more through stdio, SSE, or Streamable HTTP with PAT/OAuth authentication.
    104,919 npm
    MIT
  • A
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    C
    maintenance
    A generic template for building remote MCP servers based on Streamable HTTP, with a demo ping tool and infrastructure for authentication, logging, testing, Docker, and CI/CD.
    12 npm
    ISC
  • F
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    quality
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    maintenance
    Enables AI agents and external systems to programmatically trigger and monitor Jenkins jobs, retrieve build status and logs via MCP standards.
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  • A
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    Supply-chain gate for AI agent skills and MCP servers: poison-scan tool definitions, hash-pin the vetted set into a lock file and verify drift in CI. truecopy-mcp is a drop-in stdio proxy that filters a live server's tools/list down to its pinned, unmodified, unpoisoned tools.
    2
    216 npm
    1
    MIT
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    Model Context Protocol (MCP) server for GitLab — exposes 1006 GitLab REST & GraphQL API operations as MCP tools (42 meta-tools / 57 enterprise), 24 resources, 38 prompts, and 17 completion types for AI assistants. Written in Go, single static binary, stdio and HTTP transport.
    2
    42
    MIT
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    Connects AI coding assistants to Gaffer test history and coverage data to analyze project health, debug failures, and identify untested code areas. It enables tools to track test stability, cluster failures by root cause, and monitor code coverage trends across projects.
    3
    44 npm
    1
    MIT