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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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    Baron gives an AI coding agent one normalized contract for work orchestration: create and transition issues, cut branches, open and merge pull requests, and read CI and deployment status across Azure DevOps, GitHub and Slack.
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    Apache 2.0
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    Guides AI agents through open-source contribution workflows, from finding issues to submitting PRs, while keeping decision-making and coding with the human contributor.
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    MIT
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    Enables AI assistants to scout GitHub for existing open-source projects, libraries, and frameworks before building from scratch, offering tools for stack suggestions, repository searches, and detailed repo evaluation.
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    MIT
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    Enables developers to find personalized open-source contributions by analyzing GitHub profiles and matching them with relevant 'good first issues' and beginner-friendly repositories. Provides comprehensive contribution tooling including repository health scoring, setup difficulty assessment, impact estimation, and automated PR planning.
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    Enables Claude or any MCP client to drive the GitHub Copilot cloud agent via its REST API, allowing it to research, edit, and open pull requests on repositories without manual intervention.
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    MIT
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    Zero-dependency open-source contribution companion: repo rules and AI policy radar, evidence-backed issue briefs, pre-submit checks, and review coaching.
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    254 PyPI
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    A Model Context Protocol server that provides AI assistants with access to Microsoft Teams, enabling interaction with teams, channels, chats, and organizational data through Microsoft Graph APIs.
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    MIT