"MCP Client Software Search" matching MCP servers:

Serves 484 Claude Code skills and 17 global rules as MCP tools, enabling skill and rule retrieval, keyword search, and project-level rule discovery for any Claude client.

Exposes Cursor-style skill packs (SKILL.md trees) via MCP resources, tools, and prompts, enabling any MCP client to list, get, search skills, and retrieve skill context.

Provides guidance on the W3C Authoring Tool Accessibility Guidelines (ATAG 2.0) to help authoring tool developers build accessible software.

High-performance code understanding toolkit that enables batch reading of multiple files with dependency context, structural outline extraction with Java annotation awareness, and precise location of classes/methods across large codebases.

Provides 14 enhanced intelligent search tools for both international platforms (GitHub, StackOverflow, NPM, etc.) and Chinese platforms (CSDN, Juejin, WeChat docs, etc.). Each tool includes smart URL generation, search tips, and related suggestions for comprehensive technical research.

MCP server for Yandex Wiki with full-text search. Read and write pages, comments, attachments, and dynamic tables (grids); optional server-side read-only mode for agents. Docker-ready.

A professional literature search tool built on FastMCP framework that enables AI assistants to search academic literature from Europe PMC, retrieve article details, and analyze journal quality with seamless integration into Claude Desktop and Cherry Studio.

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.

Provides AI agents with a structured library of engineering skills, best practices, and playbooks for software development.

Enables searching and retrieving documentation files from a local docs folder using a search tool and dynamic resource URIs.

A Model Context Protocol server that enables intelligent searching across documentation for 30+ programming libraries and frameworks, fetching relevant information from official sources.

A Model Context Protocol (MCP) server for project document management with 32 comprehensive prompts covering the complete software development lifecycle.

Provides AI-powered search and documentation tools using Google Vertex AI or Gemini API with real-time web search grounding, enabling technical queries, code analysis, documentation retrieval, and architecture recommendations to overcome LLM knowledge gaps.

Enables AI assistants to explore, search, and read codebase repositories and API specifications efficiently, with support for file searching, content search via ripgrep, and reading API specs.

An MCP server that acts as an AI knowledge and skills hub, automatically discovering, indexing, and serving skill libraries to any MCP client with full-text search, rich metadata, and hot reload.

Generic MCP server that exposes Markdown documentation to LLMs, enabling them to search and answer questions about any software documentation.

Enables Claude and other LLMs to search through any published MkDocs documentation site using the Lunr.js search engine, allowing the AI to find and summarize relevant documentation for users.

Provides tools to search MDN documentation, get page summaries, and retrieve browser compatibility data.

Retrieves architectural information from ArchiMate models, enabling AI coding assistants to access architectural context during the software development lifecycle. Supports search and retrieval of views and elements in markdown, JSON, or YAML.

The mcp.film directory as an MCP server — search a curated, continuously re-verified catalog of MCP servers for AI filmmaking, get install configs for any client, and plan a full production stack.