"Headroom open-notebook resources" matching MCP servers:

Local-first memory layer for AI coding agents — Markdown as source of truth, MCP server + CLI, human-reviewed capture, team knowledge via git PRs

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.

Enables triage of GitHub issues by fetching and filtering issues, checking claim status, and listing new open issues across a watch-list.

Connects Claude to GitHub, enabling listing repositories, browsing open pull requests, and inspecting PR diffs for code review.

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.

Guides AI agents through open-source contribution workflows, from finding issues to submitting PRs, while keeping decision-making and coding with the human contributor.

Exposes GitHub, SQLite database, and calendar tools, resources, and prompts over MCP so any MCP client can query data, manage issues, and schedule events.

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.

Open-source team memory layer for AI coding agents. Markdown-in-git, user/team/org hierarchy, MCP. Apache-2.0.

An MCP server that scouts truly beginner-friendly open-source issues from GitHub, checking availability and summarizing them for AI consumption.

Analyzes and compares GitHub repositories, tracks star growth, and offers AI-powered README optimization to help grow open-source projects.

Enables AI assistants and MCP hosts to inspect GitHub repositories, pull requests, issues, and activity, and to create issues through schema-validated tools, resources, and prompts, with write actions gated by host or CLI confirmation.

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.

Enables agents to search open paid open-source bounties across GitHub and Opire, filter by language, keywords, and minimum USD amount, and compare normalized results from both sources.

Enables AI assistants to query GitHub repositories, issues, pull requests, CI status, and discover trending repos via natural language. Provides MCP tools, resources, and prompts for GitHub data access.

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.

An MCP server that enables AI clients to autonomously discover, analyze, fix, test, submit, and track open-source contributions on GitHub through specialized tools.

An MCP server designed to retrieve DevOps skills, code standards, and SAP Fiori documentation templates from a GitHub repository. It allows users to list available resources and fetch specific best practices to integrate directly into their development workflow.

Enables real-time assessment of GitHub repository health by exposing tools and resources for repository metadata, open issues, recent commits, and GitHub Actions workflow runs, plus prompts for health reports and issue triage.

A production-ready MCP server with 24 tools for Stripe, Twilio, Resend, GitHub, and Slack, plus pre-built workflow prompts and live resources.

Provides GitHub data analysis for repositories, developers, and organizations, enabling insights into open source ecosystems through API calls and natural language queries.

Zero-dependency open-source contribution companion: repo rules and AI policy radar, evidence-backed issue briefs, pre-submit checks, and review coaching.

Open source contribution manager — tracks PRs across repos, discovers contributable issues, diagnoses CI failures, and drafts maintainer responses. 21 MCP tools, 5 resources, 3 prompts. Ships as CLI, MCP server, and Claude Code plugin.

Provides MCP access to Contribution Compass's evidence catalog, enabling users to query curated open-source project activity, contribution opportunities, and observation histories.

An MCP server for the GitHub API that provides repo summaries, recent commit messages, raw README resources, and a prompt template for evaluating repos as portfolio pieces.

Enables multiple agents to file, label, comment on, and close issues in a shared git-bug store while the git-bug web UI remains open, with rule enforcement and safe concurrent writes.

Enables compatible AI clients to open, inspect, edit, test, commit, and manage GitHub repositories through local STDIO or authenticated remote Streamable HTTP, including issues, pull requests, workflows, and repository creation.

A Python MCP server that wraps the GitHub CLI (gh) to provide structured tools for searching, reading, and managing GitHub resources like repos, issues, PRs, releases, and workflows, with write commands disabled by default.

Enables AI agents to read repositories, manage issues, inspect CI/CD workflow runs, create branches, commit files, and open pull requests on a self-hosted Gitea instance.

A Model Context Protocol server that enables AI to manage AtomGit open source collaboration platform resources including repositories, issues, pull requests, branches, and labels.