"Ways to Improve Thinking Skills" matching MCP servers:

. A good description should be concise and describe what the server enables users to do, e.g. * Enables to interact with WordPress sites...' Then a huge block? Actually the user message includes the README content inside tags, then after the readme, there is a large block of text starting with '{

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Enables importing, managing, and using Markdown skills from GitHub repositories, with tools to list, install, view, and remove skills locally.

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

Converts Jenkins declarative pipelines into GitHub Actions workflow YAML files, facilitating migration from Jenkins to GitHub Actions CI/CD.

Enables an MCP-capable assistant to review GitLab merge requests, GitHub pull requests, and pre-push local branches against ticket requirements, domain rubrics, compiler/lint pre-passes, blast-radius analysis, and SonarQube findings, and to draft inline comments or follow-up tasks in the user's chosen language. Nothing reaches a remote host until a human approves the exact content in an interactive terminal.

Analyzes GitHub contributions and maps them to the Karpathy Skills framework, providing metrics, alignment scores, and executive summaries.

Exposes a personal portfolio's resume, projects, skills, certifications, and live GitHub repositories as tools for AI assistants to query via natural language.

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.

An MCP server that enables AI agents to retrieve detailed GitHub Pull Request information using git commit hashes, branch names, or PR numbers. It automatically detects repositories and extracts comprehensive PR data including descriptions, labels, and reviews via the GitHub CLI.

Enables AI agents and MCP clients to browse and search GitHub repositories, manage issues and pull requests, and query or update a local SQLite database through validated tools. It also supports guided Claude Code skills for repository exploration, database assistance, and health checks.

Harness-neutral MCP server enabling GitLab repository workflows—merge requests, CI diagnosis, publishing, and variable management—through shared Agent Skills for Codex, Claude Code, Cline, Pi, and ChatGPT.

Provides AI assistants with access to personal best practice skills and coding guidelines stored as markdown files in a GitHub repository, enabling retrieval and listing of custom development standards.

MCP server that inspects older repos, identifies stale guidance, and installs a managed foundation for better Copilot work including instructions, objectives, specialist agents, and insights.

Provides codebase intelligence over Git repositories with tools for code search, symbol lookup, dependency tracing, and commit history. It also rewrites its own tool descriptions and schemas based on usage telemetry to improve tool selection.

Enables LLM agents to search, inspect, inscribe, hone, and maintain a versioned library of learned procedures stored as Git-committed SKILL.md files with SQLite metadata and filesystem content. It also supports dropping observation notes, managing drafts, scouting external skills, and running catalogue health passes through intent-shaped tools that return structured results with next-step hints.

Enables coding environments to discover and inspect GitHub-hosted agent skills and sub-agent definitions, review provenance, policy findings, and dry-run plans, and access read-only configuration analysis while installation approval remains in the local CLI.

A comprehensive MCP server providing secure tools for filesystem operations, Git management, web search, document conversion, npm/.NET project management, and AI generative capabilities (image/video/audio generation and processing) via PiAPI.ai integration.

A bundled MCP server that lets Claude work with any Gitea instance — gitea.com or self-hosted — covering repositories, files, branches, issues, pull requests and reviews, organisations and teams, Gitea Actions runs and logs, releases, webhooks and notifications. It exposes 126 tools with tiered read/write/destructive/admin permissions, secure token handling, and workflow skills for tasks like pull request review and CI failure analysis.

Enables beginners to explore GitHub repositories and issues, assess issue suitability based on their skills and experience, and generate step-by-step contribution roadmaps through an MCP-compatible AI assistant.

MCP server for the Globalize localization platform: create translation projects, add languages, manage glossaries and style guides, connect repositories, and track translation jobs from any MCP client. Available as a hosted Streamable HTTP endpoint and as an open-source TypeScript package in the mcp-server directory.

Provides a read-only MCP bridge that lets Claude Web inspect workspace files, git state, and recorded test results while Codex remains the sole executor of changes.

Enables AI chat clients to securely access and manage local files, run terminal commands, work with Git repositories, and read AGENTS.md instructions and skills via a stateless Streamable HTTP MCP server.

Enables managing local repositories, CLIs, MCP servers, and skills via MCP tools, with inventory tracking, guarded updates, and Docker-sandboxed trials.

A local MCP server that lets agents search shared skills hosted in public or private git repos, showing ranked matches with author and dates, and load a chosen one only for the current session. It indexes those repos locally, so local skills stay untouched and shared skills are fetched on demand.

A production-ready Model Context Protocol (MCP) server that extends GitHub Copilot with GitHub repository management capabilities. Enables AI-driven issue tracking, repository information retrieval, and seamless GitHub integration.

Enables coding agents to query the dependency graph of a GitHub backlog, retrieve ordered ready work and prerequisite chains, atomically claim issues, and report blockers—so agents work in the correct order and safely in parallel.

Wraps GitLab's public REST API v4 to allow AI agents to interact with GitLab public data without authentication.

Enables AI agents to query and manage GitLab projects, issues, merge requests, and file contents via the GitLab REST API v4.

A secure and scalable Git MCP server giving AI agents powerful version control for local and (soon) serverless environments.