Playwright MCP is a browser automation server based on Playwright that enables interaction between LLM and web pages through structured data rather than pixel input.

Hyperbrowser's MCP server provides web scraping, structured data extraction, and browser proxy tools.

DB MCP Server is a multi-database server that implements the Model Context Protocol (MCP), providing AI assistants with the ability to access multiple databases in a structured manner.

G-Search MCP is a Playwright - based Google parallel search service that supports simultaneous search with multiple keywords and returns structured results.

DB MCP Server is a multi-database supported server that implements the Model Context Protocol (MCP) and provides AI assistants with the ability to access databases in a structured manner. It supports MySQL and PostgreSQL, can connect to multiple databases simultaneously, automatically generates dedicated tools, and follows a clear architecture design.

Scrapezy MCP Server is an AI model service for extracting structured data from websites, supporting data scraping through tools such as Claude.

The Limitless MCP Server is a middleware that connects Limitless Pendant data with AI tools, enabling structured interaction through the Model Context Protocol (MCP) standard.

markymark is a language server and AI agent tool for Markdown and structured data files, providing navigation, refactoring, search, and diagnostic functions, and supporting the LSP and MCP protocols.

The MediaCrawler MCP service upgrades the social media crawler into a standardized tool that can be directly called by AI assistants. It supports multi - platform data acquisition and has features such as externalized login, browser reuse, and structured output.

An MCP server that provides automation capabilities for mobile devices, supporting interaction with mobile devices through structured UI data.

The Scrapezy MCP Server is a service that enables AI models to extract structured data from websites and supports data scraping through tools such as Claude.

The Oxylabs MCP Server provides web data crawling services for AI assistants, supporting dynamic rendering, structured extraction, and anti - blocking functions.

An MCP server based on Spring Boot that provides an AI access interface to Spring I/O 2025 conference data, including structured data such as speeches, workshops, and speaker information.

Playwright MCP is a browser automation service based on Playwright. It provides web page interaction capabilities for LLM through structured accessibility snapshots rather than pixel input. It supports multiple functions such as headless/headed mode, tab management, and navigation operations, and is suitable for scenarios such as web page navigation, data extraction, and automated testing.

A multi-platform job aggregation service based on the MCP architecture, supporting the acquisition and standardization of job data from mainstream recruitment websites and providing structured support for large models.

The Awesome MCP Registry is a high - quality, structured list of MCP servers, containing over 63 MCP servers covering multiple domains such as browser automation, cloud platforms, databases, and developer tools. The project generates README.md, npm packages, and packages - list.json through JSON configuration files, and can be used as a database for MCP servers and packages to build your own MCP projects and hosting sites.

This project builds an MCP server through the Unstructured API to process research paper data, extract key information, and convert it into a structured JSON format, helping researchers quickly obtain literature information and reduce the time for literature reviews.

An MCP protocol server for extracting embedded data (such as i18n translations or key - value configurations) and SVG components from TypeScript/JavaScript source code, generating structured JSON configuration files and independent SVG files.

The FedRAMP Docs MCP Server provides a structured query and analysis tool for the official FedRAMP document library, supporting FRMR dataset indexing, document search, and version comparison functions

Bocha is a search engine designed specifically for AI, providing high-quality search services for nearly tens of billions of web pages and ecological content across the network, supporting structured data in multiple vertical fields such as weather, news, and encyclopedias, and suitable for various AI applications.

The Shodan MCP server is a tool that provides Shodan API and CVEDB query services, supporting functions such as network reconnaissance, DNS query, vulnerability tracking, and device discovery, and providing structured data output for platforms such as Claude Desktop.

The Advanced Reasoning MCP Server is a self - contained server based on the sequential thinking mode, with advanced cognitive functions such as meta - cognitive assessment, hypothesis testing, integrated memory libraries, and structured data storage. It supports a dual - storage architecture (graph - based memory and document storage) and enhanced visualization.

This project implements an MCP server based on pyATS and Genie, providing structured, model-driven network device interaction capabilities through the JSON-RPC 2.0 protocol. It supports the secure execution of CLI commands, configuration changes, and data collection, and is suitable for containerized or LangGraph integration scenarios.

The MSSQL MCP Server is a secure MCP protocol server for structured interaction with Microsoft SQL Server databases, supporting table queries and SQL execution.

The EVE Online market data interface server provides real-time market data access functions, including price query, order retrieval, historical data analysis, etc., and supports ESI API integration and structured market data access.

The MSSQL MCP Server is a secure MCP protocol server for structured interaction with Microsoft SQL Server databases, supporting table queries, data reading, and controlled SQL execution to ensure the security and auditability of database operations.

The Nodit MCP Server is a middleware that connects AI agents and developers to multi - chain structured blockchain data, providing simplified Web3 data access through the standardized Model Context Protocol.

Web3 Research MCP is a localized in - depth cryptocurrency research tool that supports data acquisition from multiple sources such as CoinGecko and CoinMarketCap, automatically generates structured research reports, and tracks research progress.

A secure Microsoft SQL Server database interaction protocol server that provides structured database access functions

NotHumanAllowed is a multi - agent cognitive dataset generation engine that conducts multiple rounds of deliberation through 38 professional AI agents, generating auditable reasoning trajectories and structured knowledge records for training next - generation AI systems.

This is an MCP server that provides access to the free Google Knowledge Graph API, allowing MCP clients like Claude to search for real - world entities (people, places, organizations, etc.) and obtain structured data.

The Firecrawl MCP Server is a web crawler and data extraction service based on the Firecrawl API, providing functions such as web page scraping, content search, site crawling, and structured data extraction.

Pare is a collection of MCP servers that provide structured CLI outputs for AI agents. It converts the outputs of common development tools into reliable, schema-validated JSON data, avoiding the problem of agents parsing fragile terminal text.

This project implements an API server that complies with the MCP protocol for searching the PRIDE Archive proteomics database and supports AI models to interact with proteomics datasets through structured function calls.

TPC Server is a backend service for recording and tracking the thought processes of AI agents or projects. It manages the associated data of thoughts, plans, and changes through structured logging and provides Web interface and API access.

An MCP server that provides Hacker News content acquisition services, supports querying multiple story types and returns structured data.

The AnySite MCP Server is a multi - platform network data collection tool based on the model context protocol, supporting platforms such as LinkedIn, Instagram, Reddit, and Twitter. It provides real - time, structured network data access capabilities for AI agents.

Deep Research MCP is a server project based on the Model Context Protocol (MCP), aiming to conduct comprehensive network research through Tavily's search and crawl APIs and integrate the data into structured Markdown documents to support high - quality content generation for large - language models (LLMs).

The Model Context Protocol (MCP) is an open - source protocol released by Anthropic, aiming to solve the standardization problem of connecting large language models (LLMs) with external data sources and systems. It provides a structured framework that enables models to integrate and utilize external context, thereby expanding their capabilities and improving response accuracy. MCP supports functions such as knowledge expansion, external tool calls, and pre - written prompts.

The AgentQL MCP Server is a model context protocol server integrating AgentQL's data extraction capabilities, supporting the extraction of structured data from web pages.