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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.
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    MIT
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    Post-quantum readiness for AI coding agents: scans code for quantum-vulnerable cryptography (RSA/ECDH/ECDSA/DH) and returns NIST ML-KEM/ML-DSA/SLH-DSA (and hybrid) migration guidance, with fix verification and dependency checks. Content-based, advisory tools only; runs local (npx @quantakrypto/mcp) or as a hosted OAuth endpoint.
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    Apache 2.0
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    Enables natural language interactions with CircleCI through Model Context Protocol, allowing users to retrieve build logs, find flaky tests, check pipeline statuses, and manage workflows without leaving their IDE.
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    Apache 2.0
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    A TypeScript starter template for building Model Context Protocol (MCP) servers with built-in support for tools, testing, and CI/CD pipelines. It provides a complete development environment for creating custom AI assistant integrations for tools like Claude, Copilot, and Cursor.
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    MIT
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    A Model Context Protocol server that enables AI assistants to interact with Jenkins CI/CD servers, providing tools to check build statuses, trigger builds, and retrieve build logs.
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    MIT
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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.
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    A feature-complete TypeScript project template for rapidly developing Model Context Protocol tools with integrated best practices for code quality, testing, and automated deployment.
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    Enables management of Coolify instances to control applications, databases, and servers through the Model Context Protocol. It provides a comprehensive set of tools for deploying services and monitoring self-hosted infrastructure using natural language.
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    Enables AI models to interact programmatically with Dokploy servers to manage projects, applications, and deployment services. It provides 67 specialized tools for direct Dokploy API operations through the Model Context Protocol.
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    Apache 2.0
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    Enables interaction with Jenkins instances to manage jobs, builds, and nodes through the Model Context Protocol. It provides capabilities to trigger builds, read console outputs, and search log sections using regular expressions.
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    MIT