connect-mcp-server

AI image generation using various models

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

Retrieving and analyzing issues from Sentry.io

test

百度地图核心API现已全面兼容MCP协议，是国内首家兼容MCP协议的地图服务商。

An open-source MCP server that makes government pet-food and veterinary-drug recall data queryable by AI assistants. Search and filter active recalls, fuzzy-match a specific product, and subscribe to email alerts — sourced daily from the Government of Canada (CFIA) and the US FDA (OpenFDA). Zero config: just npx.

An MCP server that provides a tool for sending transactional emails via Mailtrap

Let AI read, search, and summarize your UpNote notes — and create new ones — right from your chat.

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

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

A Serper MCP Server

Create a remote sandbox that can execute code/run commands/upload and download files. 创建远程沙盒，可以执行代码/运行命令/上传下载文件

虎嗅嗅官方AI助手，可查询AI行业早报、投融资事件、产品动态、硬件与原生关键信号。

Read-only MCP server for the TravelType travel catalog: search and explore cities, countries, and points of interest, get POI details, and find similar places worldwide. No authentication required.

Verified, provenance-first per-byte USDC data feeds for AI agents on Arbitrum. Discover first-party publishers, subscribe to live feeds or pay-per-call via x402, and verify-before-act (recompute keccak256 vs the publisher's on-chain EIP-712 attestation). 15 MCP tools; read-only needs no wallet. Testnet; no token.

Channel management and messaging capabilities

AgentDrive is a cross-agent artifact workspace with provenance and portable storage across Claude Code, Codex, Cursor, and LangGraph. 20 MCP tools: file CRUD, semantic recall over workspace artifacts, run logging, cross-agent attribution, comments, and shares. Connect to the hosted server at https://mcp.agentdrive.sh/mcp with an Authorization: Bearer key, or run locally via npx @adrive/mcp-server. Free tier (1 GB + 10k embeddings) at https://app.agentdrive.sh — no credit card.

Local-first FinOps copilot: ask about your AWS, Azure, GCP, and SaaS costs in plain English. Anomaly detection, rightsizing, idle-resource cleanup, and Jira/Linear ticketing, all in your own Claude. Credentials never leave your machine.

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

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.

基于Anduin2017 / HowToCook （程序员在家做饭指南）的mcp server，帮你推荐菜谱、规划膳食，解决“今天吃什么“的世纪难题； Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"

BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.

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

An MCP server for managing Modal — apps, containers, volumes, and secrets — and for deploying & running Modal apps directly from Claude Code and other MCP clients. Every tool shells out to your local modal CLI, so it operates against whatever Modal profile and credentials are configured on your machine. There are no extra tokens to manage.

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.

Secure file operations with configurable access controls

GitLab API, enabling project management