"Searching PubMed references and formatting them in Markdown" matching MCP servers:

A modular monolith MCP server connecting multiple providers (Redash, PostgreSQL, GitHub) with unified permission, security, and auditing, enabling secure data access and tool execution.

A FastMCP-based server designed for the banking and fintech domains, providing tools for database queries, Git operations, and deployment management. It features a modular architecture with reusable prompt templates and integrated security practices for sensitive data handling.

Enables searching GitHub users and repositories, fetching details, and performing stock market technical analysis via AlphaVantage.

Lets agents read a GitHub repository's live issues through read-only tools for listing, filtering, fetching details with comments and cross-references, searching, and exploring labels and milestones, with transparent pagination and provenance notes.

An MCP server for creating, validating, and formatting Git commits with emojis following the conventional commit standard.

MCP server for TNL (Typed Natural Language): per-feature English contracts for AI coding agents. 6 tools — get_impacted_tnls, retrieve_tnl, trace, propose_tnl_diff, approve_tnl_diff, verify — let agents look up relevant contracts, propose contract edits, and verify implementations against them. Drop-in via npx typed-nl init for Claude Code, Codex, Gemini.

Enables searching and retrieving GitHub portfolio repositories and their READMEs through natural language.

Repository-native protocol and MCP server for coordinating work items, documentation, changelogs, and project memory between humans and AI agents, using Markdown files in a Git repository as the canonical data source.

An MCP server that caches your GitHub starred repositories in a local SQLite database and lets you search, list, and retrieve details about them through any MCP client (Claude Desktop, Cursor, VS Code, etc.), with automatic freshness checks via GitHub's ETag mechanism.

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

Enables safe changelog management for AI assistants with append-only entries, automatic versioning, and backups to prevent accidental deletion or formatting inconsistencies.

Enables searching the langchain-ai/langchainjs GitHub repository for TypeScript/JavaScript/Markdown code snippets using the search_langchain tool.

A lightweight MCP server that exposes GitHub tools for searching repositories, listing issues, and reading file contents.

Provides tools for accessing, comparing, and analyzing GitHub repository releases with rich formatting and detailed information.

A Model Context Protocol server that automatically generates structured release notes from Git repository tags, analyzing differences between tags and saving formatted Markdown output to the .iris directory.

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.

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

A comprehensive MCP server that provides AI assistants with tools for file system management, Git integration, and shell command execution. It features specialized code utilities for analysis, formatting, and linting to enhance development workflows within Claude Desktop.