All MCP Server Categories (2026)

Database MCP servers let AI assistants like Claude, ChatGPT, and Cursor talk to Postgres, MySQL, SQLite, MongoDB, Redis, and warehouses like BigQuery or Snowflake without copy-pasting connection strings into prompts.

Productivity MCP servers connect AI assistants to the tools you already use to run your day — Notion, Linear, Todoist, Google Calendar, Obsidian, Asana, ClickUp, and more.

Developer Tools MCP servers wire AI assistants into the everyday surfaces of writing and shipping software: Git and GitHub, package registries, build systems, language servers, container runtimes, and local CLIs.

Communication MCP servers plug AI assistants into the channels where work actually happens — Gmail, Outlook, Slack, Discord, Microsoft Teams, Telegram, and SMS gateways.

Finance MCP servers give AI assistants structured access to money: accounting platforms like QuickBooks and Xero, payments rails like Stripe and PayPal, market-data feeds, brokerage APIs, crypto exchanges, and personal-finance tools like Plaid-backed aggregators.

Search MCP servers give AI assistants real-time access to the open web through providers like Google, Bing, Brave, Tavily, Exa, Perplexity, and SerpAPI — so the model can answer questions about events past its training cutoff and ground claims in actual sources.

AI & LLM MCP servers expose the building blocks of AI itself: hosted models from OpenAI, Anthropic, Google, Mistral, and others; embedding endpoints; vector databases like Pinecone, Weaviate, Qdrant, and Chroma; image and audio generators; and orchestration layers that route between them.

Browser Automation MCP servers hand an AI assistant a real, scriptable browser — usually Playwright, Puppeteer, or a headless Chromium variant — so it can navigate sites, fill forms, scrape rendered content, take screenshots, and run end-to-end checks against pages that don't expose APIs.

Code Execution MCP servers give AI assistants a sandboxed runtime — usually Python, Node, Bash, or a multi-language container — where they can actually run the code they write instead of just guessing at the output.

File System MCP servers let AI assistants read and write files on your local machine or in cloud storage like Google Drive, Dropbox, OneDrive, and S3 — with whatever path scoping you grant.

APIs & Data MCP servers connect AI assistants to the long tail of third-party services that don't have a dedicated server yet — CRMs, ticketing systems, analytics platforms, weather and maps APIs, government open-data portals, internal REST endpoints.

Security MCP servers give AI assistants access to the tools security and platform teams actually use: secret managers like 1Password and HashiCorp Vault, SAST and SCA scanners, dependency-vulnerability feeds, SIEM queries, audit-log search, and identity providers.