OpenCollab MCP
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- AlicenseNot gradedqualityBmaintenanceEnables AI agents to evaluate real OSS contribution opportunities by scoring issues on availability, competing PRs, staleness, and maintainer sentiment, including live feasibility checks for any repository.MIT
- AlicenseAqualityCmaintenanceGuides AI agents through open-source contribution workflows, from finding issues to submitting PRs, while keeping decision-making and coding with the human contributor.2MIT
- AlicenseBqualityAmaintenanceOpen 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.2016MIT
- -licenseBqualityNot gradedmaintenanceEnables AI-driven orchestration of GitHub development workflows including automated issue analysis, code generation, code review, and PR creation through multiple specialized agents. Integrates with GitHub Actions to automate the complete development process from issue to pull request.7-
- AlicenseNot gradedqualityBmaintenanceEnables maintainers to prioritize maintenance across GitHub repositories by converting repository, branch, CI, security, and release signals into deterministic, evidence-backed scores and ranked actions.MIT
- AlicenseAqualityBmaintenanceEnables AI agents to analyze public GitHub repositories directly through tools for repo health scoring, recent commit summaries, good first issue discovery, and semantic Q&A over docs and issues.426 npm1MIT
TDQS
Scored across 22 tools
Most tools have distinct purposes, but some overlap exists. For example, 'opencollab_find_issues' and 'opencollab_weekend_issues' both find issues, with the latter focusing on quick tasks, which could cause confusion. Similarly, 'opencollab_repo_health' and 'opencollab_contribution_readiness' both assess repository friendliness, though from slightly different angles. Descriptions help clarify, but boundaries are not always sharp.
All tool names follow a consistent 'opencollab_verb_noun' pattern with snake_case, making them predictable and easy to parse. The verb choices are descriptive and aligned with the tool's function, such as 'analyze_profile', 'check_issue_availability', and 'generate_pr_plan'. This uniformity enhances usability and reduces cognitive load.
With 22 tools, the count feels heavy for the open-source contribution domain. While the tools cover various aspects, some could be consolidated (e.g., multiple issue-finding tools) to reduce complexity. It's borderline excessive, potentially overwhelming for agents, but not extreme.
The tool set provides comprehensive coverage for open-source contribution workflows, from profile analysis and issue discovery to PR planning and impact estimation. It includes all necessary operations like finding issues, assessing repositories, and matching users, with no obvious gaps. The domain is well-covered with tools that support end-to-end contribution processes.