MCP Servers
71,476 MCP servers for AI apps. Filter by category, badge and popularity.
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Learn how to: ✅ Build a file-search AI using natural language queries ✅ Create embeddings from local Linux files using Hugging Face models ✅ Integrate Gemini API (Google AI Studio) into your local apps ✅ Use MCP to control multiple agents with server-client architecture ✅ Apply c
AI-powered news intelligence via MCP. 21 tools for personalized monitoring — create AI agents that track any topic 24/7 across thousands of sources. Get deduplicated, AI-analyzed briefings, semantic search, collections, feedback-driven refinement, and custom analysis lenses. Work
AgenticBI is an agentic analytics platform that turns business questions into answers. Connect BigQuery, Salesforce, SAP, Google Drive, Trino, and more. Agents understand your data, find the right datasets, join across systems, run queries, and return answers with visualizations
Governance middleware for AI agents: deterministic policy enforcement, cryptographic audit trails with digital signatures, DLP/PII detection, Trust Score per agent (0-100), EU AI Act compliance (Art. 9, 11, 12, 14), Agent BOM generation, and Circuit Breaker. Native support for La
MCP server for Canadian real estate agents. 16 read-only tools covering transactions, pipeline deals, CRM clients, expenses, mileage tracking, income forecasts, Runway Score (business health grade), and Canadian income tax estimates for all 13 provinces/territories. Streamable HTTP.
Real-time URL trust scoring for AI agents. Blocks phishing, scam sites, and malicious redirects before your agent interacts with them. 6 security engines including Google Web Risk, VirusTotal, PhishTank, URLhaus, WHOIS domain age, and live SSL — plus Claude AI reasoning.
A reusable AI software development team built on MCP. 13 specialized agents (Project Manager, Backend, Frontend, QA, Security, DevOps, UX, and more) collaborate via shared SQLite state. Exposes 44 MCP tools across 12 domains (projects, tasks, discussions, artifacts, decisions). O
Agricultural commodity climate risk intelligence for AI agents via the Model Context Protocol. This MCP server gives any AI assistant — Claude, GPT-4, Cursor, or a custom agent — direct access to live weather stress analysis, pest emergence monitoring, trade concentration scoring
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
