sitemcp is a tool that can crawl the content of an entire website and use it as an MCP server. It supports functions such as custom page matching and content selectors, and is suitable for quick retrieval of documentation and blog - type websites.

This project is an MCP server for managing memory text files, helping AI models like Claude maintain context between conversations. It provides functions to add, search, delete, and list memories, supporting exact matching operations based on substrings. It is designed to store memories in simple text files, similar to ChatGPT's memory mechanism, and triggers memory storage through prompts and training.

An MCP server that connects to the Obsidian knowledge base. Through the REST API plugin, AI agents can perform complex knowledge discovery and analysis tasks, supporting functions such as advanced search, regular expression matching, and full - text retrieval.

A simple tool to test MCP servers by defining requests and responses in YAML files, supporting dynamic matching and multiple transport methods.

A document retrieval system based on MongoDB Atlas vector search and Voyage AI embedding technology, supporting semantic search and text matching, including document chunking, embedding generation, and storage functions.

An intelligent icon search and recommendation service based on Cloudflare Workers, achieving efficient icon discovery through multi-algorithm semantic matching

WC26 MCP is an MCP server that provides 2026 World Cup data for AI, including 18 tools such as matches, teams, stadiums, city guides, fan zones, historical match records, visa information, news, injuries, odds, standings, and knockout stage brackets. No API key or external dependencies are required.

PromptLab is an intelligent system that optimizes basic user queries into AI system prompts through MLflow integration, providing dynamic template matching and parameter extraction functions.

Context Lens is a local semantic search tool that can convert any content into a searchable knowledge base, enabling AI assistants to understand the meaning rather than just match keywords. It uses a built - in LanceDB vector database, supports local files, GitHub repositories, and URL content, does not require an API key or cloud service, and processes data completely locally.

Pathfinder MCP is a tool that bridges MCP clients and LSP servers. Each instance is responsible for connecting one language server, supporting matching by file extension and providing features such as jumping to definitions.

This is a Quran search engine server based on the MCP protocol, aiming to provide accurate and hallucination-free Quranic verse query services for AI assistants. It uses a dedicated search engine to handle Arabic normalization, root, and lemma matching, ensuring the absolute accuracy of the returned verse texts, while the AI is only responsible for understanding the user's natural language query intentions.

An MCP server that provides comprehensive cricket data, including live matches, player statistics, schedule arrangements, and news updates. The data is sourced from Cricbuzz.

A TypeScript-based MCP server that provides a precise line-based text file editing tool, supporting regular matching and content replacement.

League of Legends Mock Match Predictor, providing summoner analysis based on historical data and AI-driven 10-phase match simulation, supporting multi-language and performance comparison.

The HeadHunter MCP Server is a tool that integrates the API of Russia's largest recruitment platform, providing functions such as job search, resume management, intelligent matching, and automatic application, and supporting OAuth security authentication.

This is a Model Context Protocol (MCP) server designed for the Team Fight Tactics (TFT) game, providing the function of accessing TFT game data through various tools, including obtaining the summoner's match history and detailed information of specific matches.

An intelligent resume generation tool that automatically creates ATS-friendly resumes, cover letters, and email templates that match job requirements, supporting multiple format outputs

An Indian drug information API server that provides functions such as drug search, alternative suggestions, and ingredient analysis, and supports fuzzy matching and price comparison.

An MCP server that allows Claude to interact with the LifeUp cloud API via the local network, supporting functions such as task management, achievement matching, and user information query.

MCP-Soccerdata is an open-source MCP server that provides real-time football match data, including schedules, scores, lineups, and other information, through natural language interaction.

An implementation of the Redis management control protocol (MCP) server based on Spring Boot and Spring AI, providing functions such as Redis key-value operations and pattern matching queries.

FindMine Shopping Stylist is an MCP server that integrates FindMine's product styling and matching recommendation functions with MCP - compatible applications such as Claude.

GitHub issue similarity matching service

A CAPTCHA recognition MCP server based on ddddocr, providing text OCR, object detection, and slider matching functions

A personality analysis and matching service built on the FastMCP framework, providing functions such as personnel trait creation, description addition, and job matching.

A web page content scanning and analysis server based on the MCP protocol, providing functions such as web page crawling, link extraction, website crawling, link checking, pattern matching, and sitemap generation.

The OpenDota MCP Server is a service that implements the Model Context Protocol (MCP) for accessing OpenDota API data, providing standard interfaces for LLMs and AI assistants to obtain real - time Dota 2 statistics, match information, player profiles, etc.

The Mintline MCP server connects the AI assistant to the user's Mintline receipt and transaction data, and provides dynamic tools through the model context protocol for querying, matching, and analyzing financial information.

Spotify Playlist MCP Server, supporting natural - language playlist creation and music recommendation with multiple similarity algorithms, including audio feature analysis and genre matching functions

The Krep MCP Server is a high - performance string search tool that provides optimized pattern matching functions for AI assistants through the MCP protocol. Although the core functions are simple, the project has problems such as over - engineering, redundant documentation, and chaotic integration.

An MCP server that provides AI predictions for Premier League and Champions League football matches, supporting real - time scores, goal predictions and player analysis

The MCP server provides text matching and syntax tree parsing functions, supports recursive search of files in directories, and is used for code analysis and reference finding.

An MCP server that provides professional knowledge of fountain pen inks, supporting ink search, color matching, and recommendation functions

The Tree-Hugger-JS MCP server is a code analysis and transformation tool based on JavaScript/TypeScript. It provides powerful code parsing, pattern matching, and refactoring capabilities for AI agents through the tree-hugger-js library, supporting multiple syntaxes such as JS/TS/JSX/TSX.

The Krep MCP Server is a high - performance string search tool that provides optimized pattern matching capabilities for AI assistants through the MCP protocol.

MetaVault MCP is a cross - protocol yield intelligent service designed for AI agents, providing unified access to three major protocols: Spectra Finance, Pendle, and Morpho through the Model Context Protocol (MCP). It offers 50 read - only tools, covers more than 10 blockchains, and supports functions such as fixed - rate discovery, portfolio analysis, leveraged looping strategy calculation, yield curve analysis, historical on - chain data query, and cross - protocol comparison. Its core architecture uses an 'open - emergence' design. Through three - layer knowledge transfer (protocol principles, tool description, structured output prompts) and observation coverage quantification, AI agents can independently discover novel strategies without understanding the underlying mechanisms, avoiding premature pattern matching and narrative solidification.

StyleMCP is a platform for verifying and rewriting AI-generated text to match the brand style. It offers multiple integration methods such as API, CLI, MCP server, and GitHub Action, and ensures that the content conforms to the brand voice specifications through configurable style packs.

CodeSentinel is a code quality analysis server based on the Model Context Protocol (MCP), specifically designed to detect 93 hidden problem patterns in AI-generated code, including security vulnerabilities, deceptive error handling, placeholder code, etc. It uses pattern matching rather than AST analysis to find code that is syntactically correct but semantically problematic.

A lightweight MCP server that enables intelligent skill matching through the FunctionGemma model, allowing AI agents to acquire dedicated skills on demand and avoiding context window overload.

The Australian Postcodes MCP Server provides a high - performance query service for postcode and suburb data, supporting intelligent fuzzy matching and geographical search functions.