"Find ReClip-macos.dmg" matching MCP servers:

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 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.

Provides natural language search capabilities for Spryker GitHub repositories, packages, and public documentation. It enables code-level searches across Spryker organizations to help developers find relevant modules and technical information.

Deterministic, offline root-cause analysis for coding agents: find the commit that introduced a bug, and verify a fix is complete before committing.

An MCP server that enables natural language search capabilities for Spryker packages and code across GitHub repositories, allowing users to find Spryker modules and documentation using conversational queries.

Helps support engineers find similar GitHub issues to speed up troubleshooting by searching repositories and calculating similarity scores based on issue descriptions.

Quality-aware code intelligence that turns GitHub search into ranked, explainable, import-ready recommendations, enabling developers to find the best code implementations with archetype clustering and provenance-based import.

Enables AI coding agents to read and investigate git history through MCP, including blame, diffs, old file versions, and automated bisect to find when a bug was introduced.

An MCP server that helps developers find open-source issues worth contributing to by semantically matching interests, scoring repository health, and ranking by real downstream impact.

Atlas Mind MCP server exposes 24 tools to read, write, triage, map, rewind, and audit a knowledge base stored as plain files in a git repository, enabling AI assistants to act as an external brain.

Enables Claude and ChatGPT to securely read and update a personal 'thinking OS' stored as JSON in a private GitHub repository, with every AI-proposed change delivered as a pull request.

Compiler-exact TypeScript code graph MCP server exposing find-references, change impact analysis, and repo map tools for AI agents, powered by the TypeScript compiler via ts-morph.

Lets MCP clients such as Claude or ChatGPT find the pull requests waiting on your review, read their details and changed files, check CI status, post comments, and submit approve, request-changes, or comment reviews. It runs locally over stdio with a personal token or as a remote server with its own OAuth 2.1 authorization server (PKCE, dynamic client registration, per-client consent, and refresh-token rotation) so GitHub is only used to sign the user in.

An intelligent code version management system based on the MCP protocol, providing AI-enhanced code snapshots, project versioning, and smart change detection for AI-assisted programming.