"Awesome Lists" matching MCP servers:

Enables AI agents to search, filter, and explore a local offline catalog of tools from awesome lists, including finding underrated tools, explaining ranking provenance, listing curator lists, and inspecting catalog facets. All access is read-only over local SQLite with no network calls or API keys.

Enables local, timestamped search over GitHub Awesome channel featured repositories with SQLite/FTS5 catalog, offering tools to search repos, get repo details, check catalog status, and update from video data.

Provides access to over 100 curated AI agent skills from organizations like Anthropic, Vercel, and Hugging Face. It enables AI assistants to perform specialized tasks including document processing, security analysis, and web development through a standardized interface.

Search and explore a catalog of 2,000+ MCP servers — full-text search, trending, hot, categories, and side-by-side comparison — from any MCP client. A zero-dependency stdio bridge over the hosted awesome-mcp.tools endpoint.

Enables an MCP client to query a token-driven SCSS design system out of the box, with no manual SDK or zod install step, exposing 30 tools covering themes, mixins, functions, tokens, animations, components, recipes, doc readers, size resolution, and prompt assembly. It resolves that data directly from the installed css-is-awesome package, so answers always match the version the user actually has.

🚀 Token-efficient MCP server for Confluence. Reduces LLM costs by 76% via Markdown conversion. Supports listing, searching, and fetching pages.

Enables AI agents to interact with the app via MCP tools and resources, supporting self-improvement through goal-setting and metrics tracking on Cloudflare Workers.

A beginner-friendly repository for learning the Model Context Protocol (MCP) using FastMCP and uv, providing step-by-step setup and development workflow.

A local, read-only MCP server that lets coding agents search the complete AAS skill catalog, compose and validate agent-chosen skill stacks, and generate reproducible, reviewable plans without uploading project code.

directory for Awesome MCP Servers

A production-ready development scaffold for MCP servers, optimized for Cursor IDE with built-in tools, resources, and prompts that enables quick development of Model Context Protocol servers with 5-minute startup and 10-minute development capabilities.

Enables AI agents to manage iOS Simulator state declaratively through MCP tools for inventory, snapshot, diff, planning, and safe apply operations.

Provides access to GitHub Copilot agents, prompts, instructions, skills, collections, plugins, hooks, and workflows via the Model Context Protocol.

Enables an agent to take a public GitHub repository for an MCP server and get it listed across every MCP directory, by reading the repo to draft a listing, publishing to the official registry, opening pull requests on awesome lists and catalogs from the user's own account, and preparing web forms. It also checks existing listings and re-syncs or flags them when a new version ships.

A machine-readable FOSS registry and zero-latency MCP server for AI coding agents to search free and open-source software alternatives to commercial tools, with capabilities to find replacements, get app details, and search by query.

A production-ready MCP server built with FastAPI, providing an enhanced tool registry for creating, managing, and documenting AI tools for Large Language Models (LLMs).

Domain search that returns only .com names verified available to register, checked live against the Verisign RDAP registry, not AI guess lists.

Enables AI assistants to run code in 24 programming languages on HackerEarth's sandboxed servers and read the printed output or errors, without installing local toolchains. It also lists supported languages with exact identifiers for use when submitting code.

Lets Claude Code delegate bounded coding tasks to a GLM model as a sub-agent through a single MCP tool that reads, writes, edits, lists directories, and runs shell commands inside a specified project folder. Each run returns only a short report with changed files and token usage, keeping GLM's intermediate tool traffic out of Claude's context.

A read-only MCP server for reading and analyzing Lanhu (Blue Lake) design projects, providing tools to retrieve design lists, previews, node trees, schemas, and exportable resources.