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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.

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。

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

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

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

Monitors Procore/Autodesk for project status changes and notifies stakeholders via Slack/Teams. Free MCP server by Espergrid. Enterprise implementation available. *Need custom deployment? espergrid.com offers white-glove implementation starting at $1,499.*

Italian cross-dealer MCP. 7 read-only tools for the Italian automotive market: used cars search, NLT rental offers with full quotation matrix, dealer directory, vehicle specs, knowledge base. Public endpoint at https://mcp.dealermax.app/mcp/ — no auth, no API key.

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Convert Markdown to DOCX, PDF, and HTML using your own Word templates — your letterhead, your branding, your fonts. Plus 15 designer-built templates for when you don't have your own. MDMagic plugs straight into Claude, Cursor, VS Code, and any MCP-compatible AI assistant, giving them direct access to a professional document conversion pipeline - and, more importantly, *your* templates. ✨ Use your own Word templates Upload your existing letterhead, stationery, brand guidelines, contract shells, proposal templates — anything you already use in Microsoft Word. Once uploaded, your AI assistant can convert any Markdown directly into a polished document carrying *your* logo, fonts, colours, footers, page numbers, watermarks, and signature blocks. The output looks like it came from your design team, not from a generic AI export. 🎨 Or pick from 15 designer-built templates Don't have a Word template ready? MDMagic ships with 15 professionally designed templates across four categories: • Business — Executive Platinum, Financial Blue, Premium Bronze, Professional Azure, Business Purple • Creative — Designer Indigo, Artistic Aqua, Sunset Vibes, Sage Serenity, Minimalist Pro, Cheese Burger • Professional — Legal Burgundy, Modern Legal • Technical — Code Documentation, Deep Data Blue 🧰 Ten tools, designed for AI workflows • convert_document — Markdown → DOCX, PDF, HTML, or all three • validate_markdown — pre-flight syntax check before you spend credits • estimate_conversion_cost — know the cost before the conversion runs • recommend_template — describe the document, get the right template • list_all_templates / list_builtin_templates / list_custom_templates — full catalogue with category filters • get_template_details — confirm page sizes, orientations, variants • check_credit_balance — credits remaining, plan status, cost-aware AI behaviour • show_default_settings — honour the user's preferred page size and orientation 💸 Same credits, one balance Whether you convert via the MDMagic web app or your AI assistant, credits work the same way. Free-tier credits renew monthly. Paid plans and one-off top-ups available. The MCP refuses conversions when your balance is low — no surprise bills. 🚀 Five-minute setup Sign up at https://mdmagic.ai/account → grab your API key → paste a JSON snippet into your AI client's MCP config → restart. Done. The hosted endpoint at https://api.mdmagic.ai/mcp is also available for clients that don't run local processes. Built for serious documents. Designed for AI assistants. Trusted with your brand.

AI travel agent over MCP — live flights, hotels, activities, and events worldwide, then completes the booking on autonomad.ai (free signup at checkout, first month of Premium included).

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

Chat Relay MCP is a local-first MCP server that lets you continue AI conversations seamlessly across IDEs like Cursor and Antigravity. It stores conversation history, architecture decisions, and important context in a local SQLite database so you can restore sessions instantly without re-explaining your entire project. Open source, lightweight, fully local, and designed for fast AI workflow handoffs between tools.

A maximum fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built specifically for AI Agents (Cursor, Claude Desktop, OpenHands), it completely bypasses bot detection (Cloudflare Turnstile, Datadome), dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.

Bring VR Eddie's headset ratings, game scores, live deals, and compatibility checks into any MCP client.

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

Stripe revenue monitoring, HubSpot-to-Xero invoicing, and QuickBooks P&L generation. Free MCP server by Espergrid. Enterprise implementation available. *Need custom deployment? espergrid.com offers white-glove implementation starting at $1,499.*

One API for Search, Crawling, and Sitemaps

Operator-as-agent MCP hub. 6 tools. First $5 free, then $0.001/call. Run via npx -y @mydaughteralya/mcp or HTTP at https://mydaughteralya.com/mcp

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

Search and retrieve public procurement tenders for Norway, Sweden, Denmark, Finland and Iceland (sourced from TED), plus the full Norwegian company registry. Built for AI agents — every tool returns clean JSON with stable IDs. Authenticate with an API key in the X-API-Key header. Free plan available, no credit card required. search_tenders — Search Nordic procurement notices by country, keyword, CPV code, or date range get_tender — Fetch a single tender by ID search_companies — Search the Norwegian company registry get_company — Fetch a single Norwegian company by org number Transport Streamable HTTP (not stdio, not SSE) Auth Header X-API-Key: <your_key> — get one free at https://nordicdata.cloud

An MCP server and REST API that classifies Polymarket wallets as human or bot, scores their trading edge from 0–10, and streams their current open positions. Built for AI agents on copy-trading and signal-following stacks. # Use it from any MCP client (Claude Desktop, Cursor, etc.) pip install polymarket-intel-mcp polymarket-intel-mcp # Or call the hosted REST API directly curl https://polymarket-intel-production.up.railway.app/wallet/0xf1528f12e645462c344799b62b1b421a6a4c64aa How this fits with other Polymarket MCP servers There are several MCP servers covering Polymarket, each at a different layer: Server What it does When to use it polymarket-intel (this) Wallet intelligence — classify human vs bot, score trading edge, read open positions Deciding whose signals to follow graph-polymarket-mcp Market data via The Graph subgraphs (20 tools, 8 subgraphs) Reading raw on-chain market data whitmorelabs/polymarket-mcp Slippage, liquidity, arbitrage, price feeds Pricing your own trades joinQuantish/polymarket Self-hosted trading agent Running an autonomous bot These complement each other. A copy-trading agent would use polymarket-intel to filter wallets worth following, then graph-polymarket-mcp to read the markets those wallets are betting on, then whitmorelabs/polymarket-mcp to size its own entries. What it answers "Is this trader a human or a bot?" — score_polymarket_wallet(wallet_address) → returns classification ∈ {human, bot, insufficient_data} plus a confidence score and reason codes. "Do they actually have an edge?" — edge_score from 0–10, gated on net realised PnL so distributed-but-losing wallets don't get false positives. "What are they betting on right now?" — get_open_positions(wallet_address) returns live positions sorted by size, refreshed every 30s. "How has their edge changed over time?" — /wallet/{address}/history returns the score time series from the daily snapshots. Why this exists The Polymarket leaderboard is misleading. It includes unrealised PnL marked-to-current-price, so the names at the top are dominated by bots running structural arb plus a few wallets sitting on huge open positions that may never resolve in their favour. Agents that copy-trade naively from the leaderboard get burned. This service runs every leaderboard wallet through behavioural fingerprinting (focus ratio, holding period, timing regularity, category concentration) plus PnL reconstruction from raw activity, and only surfaces traders that look like genuine humans with a real edge. The dataset grows more valuable over time — every day the snapshot job runs, historical signals accumulate. Wallets that have been consistently above edge 7 for 90 days are a stronger signal than any single point-in-time score. Distributed as both a REST API and an MCP server Surface Use case Setup MCP server Agent that needs tool-style access pip install polymarket-intel-mcp REST API Custom HTTP integration, dashboards curl https://polymarket-intel-production.up.railway.app/... Hosted MCP Agent on any MCP-compatible client Add https://polymarket-intel-production.up.railway.app/mcp to client config Architecture ┌──────────────────────────────────────────────┐ │ core/ │ │ client.py — Polymarket data API client │ │ signals.py — pure signal calculators │ │ scorer.py — classifier + edge score │ │ models.py — Pydantic response schemas │ ├──────────────────────────────────────────────┤ │ db/ │ │ schema.sql — Postgres tables + indexes │ │ repository.py — Repository protocol + │ │ InMemoryRepository │ │ supabase_repo.py — Supabase impl │ │ converters.py — ScoreResult ↔ records │ ├──────────────────────────────────────────────┤ │ api/main.py — FastAPI HTTP server │ │ mcp_server/ — MCP server (stdio) │ │ scripts/ │ │ analyze_wallet.py — CLI │ │ snapshot_job.py — daily cron entry │ │ tests/ │ └──────────────────────────────────────────────┘ Core has no idea persistence exists. The API and snapshot job depend on the Repository protocol — Supabase in production, in-memory in tests and when env vars are unset. This is what makes the suite run without a database and what lets you swap Supabase for Neon, RDS, or anything else later by adding one file.

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.

Zero-config MCP server for developers. No API keys. No secrets. Just plug it in. 22+ tools across encoding, hashing, DNS, IP geolocation, SSL, URL tracing, WHOIS, npm lookups, GitHub, and more.

Manage your entire Lnk.Bio profile directly from Claude. Add, edit, schedule, and reorder links. Create pages, add content blocks like titles, bios, and buttons. Set up social icons for Instagram, TikTok, and more. Browse and apply themes, customize colors and fonts, or set wallpapers. Make Lnk.Bio a native part of your AI workflow, so you can build and update your link-in-bio page faster, through conversation.