30 open-source projects similar to any4ai/anycrawl-mcp-server, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Anycrawl Mcp Server alternative.
这是一个基于 ALAPI 的 MCP (Model Control Protocol) 服务器实现,可以通过MCP协议直接调用ALAPI的接口
The Apify MCP server enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, or any other website using thousands of ready-made scrapers, crawlers, and automation tools available on the Apify Store.
This project is an MCP browser automation server that connects large language models to headless cloud browsers. It functions as an autonomous web workflow engine and an LLM web agent interface, enabling the translation of natural language instructions into browser actions and structured data retrieval. The system distinguishes itself through a managed headless browser cloud API that supports concurrent Chromium sessions with integrated stealth modes, CAPTCHA solving, and proxy traffic routing. It utilizes self-healing element selection to maintain automation resilience when page structures c
A Model Context Protocol (MCP) server implementation that provides database capabilities for Chroma
Model Context Protocol (MCP) implementation for Opik enabling seamless IDE integration and unified access to prompts, projects, traces, and metrics.
The Coresignal MCP Server enables seamless integration of Coresignal's data with AI-powered applications. By connecting to this server, AI assistants can access fresh multi-source B2B data about companies, employees, and job postings directly within chat interfaces.
MCP Server to interact with data in Couchbase Clusters
Crawlbase MCP Server connects AI agents and LLMs with real-time web data. It powers Claude, Cursor, and Windsurf integrations with battle-tested web scraping, JavaScript rendering, and anti-bot protection enabling structured, live data inside your AI workflows.
The Decodo MCP server which enables MCP clients to interface with services.
DreamFactory is a self-hosted platform providing governed API access to any data source for enterprise apps and local LLMs.
This project is a Model Context Protocol server that provides large language models with neural web search and webpage content extraction capabilities. It implements a standardized interface to expose research tools and resources to compatible clients. The server integrates a neural search engine to retrieve real-time internet data using semantic embeddings rather than keyword matching. It includes specialized utilities for company intelligence and reasoning-based deep research, enabling the collection and synthesis of organizational data and professional profiles. The system covers a broad
Store and load JSON documents from LLM tool use
Model Context Protocol (MCP) Server for Graphlit Platform
A Model Context Protocol (MCP) server for GreptimeDB
Instant is a real-time backend as a service and relational graph database designed to synchronize data across clients automatically. It functions as a data synchronization layer that provides authentication, permissions, and relational data storage for web and mobile applications. The platform includes an optimistic UI framework that updates local interfaces immediately during writes and handles automatic server rollbacks. It also features a real-time presence system to broadcast transient user states, such as cursor positions and online status, to other connected clients. The system manages
Model Context Protocol (MCP) Server for the Keboola Platform
A Model Context Protocol (MCP) server for interacting with Meilisearch through LLM interfaces.
Local MCP server for DuckDB and MotherDuck
MCP server for interacting with Neon Management API and databases