中指数据 Mcp

Meta Business MCP is a production-validated MCP server for the WhatsApp Business Cloud API. It sits between your AI agent and Meta's API as a compliance gate — validating 24-hour care windows, opt-out status, frequency caps, and rate limits in under 2ms before any message is sent. Exposes 24 structured tools covering messaging, campaigns, templates, and error intelligence. Built in Go, backed by PostgreSQL, Redis, and NATS JetStream. Validated against real Meta Graph API v20.0 production traffic with 85.6% test coverage.

A Serper MCP Server

A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

Query EUR-Lex and EU case law from Claude, Cursor, and other MCP-enabled tools. 10 tools for structured search, CELEX/URL document fetch, recent Official Journal, citation graph, and semantic search over case law + legislation.

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

Help AI agents write accurate, up-to-date Kubernetes manifests by giving them the official Kubernetes API reference, so they can look up kinds, fields, and nested types with current specs across the latest and three previous Kubernetes versions.

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

One API for Search, Crawling, and Sitemaps

summarize chat message

Browser automation and web scraping

MCP server for interacting with Neon Management API and databases

Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.

高德地图官方 MCP Server

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

Secure file operations with configurable access controls

Pay-per-call live telemetry, environmental metrics, transit state vectors, blockchain reads, network/security lookups and real-time utilities for AI agents. 50 tools, no API key — pay per request with x402 USDC on Base.

Official MCP server for the Hostinger API — manage domains, DNS, hosting, VPS, billing, e-commerce, and email marketing directly from your AI agent.

189 pay-per-call API endpoints covering Social Media, Jobs, Finance, Crypto, AI Tools, and more. Powered by x402 protocol with USDC payments on Base chain.

Browse, search, upload, tag, transfer, and delete images in your Raster libraries over MCP. Raster is a photo manager for modern teams — connect over a remote Streamable HTTP endpoint with OAuth 2.1 sign-in, scoped to the libraries your account can see.

提供「土地市场 / 新房市场 / 二手房市场 / 房企数据」全方位查询分析能力的 MCP Server。覆盖近三十年地产行业数据，为投资投拓、客研、营销等场景提供权威数据支撑。

194 pay-per-call API endpoints - AI, Search, Social, Finance, Crypto. x402 USDC on Base.

Gives AI agents verifiable, tamper-evident receipts for their actions — attest_action signs a cryptographic receipt for what the agent did (email sent, payment made, form filed), verify_receipt checks it offline, get_identity returns the agent's did:key. Sign locally, verify anywhere, zero backend.

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

Pre-clinical drug discovery intelligence — 44 MCP tools for targets, compounds, patents, trials & whitespace. 16 free, 28 Pro

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.