MCP Server Directory
MCP (Model Context Protocol) is an open standard from Anthropic that lets AI assistants like Claude talk to external tools. Instead of copying and pasting between apps, your AI can read, search, and write directly inside the software you already use. Below is every MCP server worth knowing about in 2026, organized by what it connects to.
Read channels, post messages, search history, and manage threads. The most-used MCP server for team communication.
Send and read messages across Discord servers and channels. Useful for community management and support workflows.
Search, read, draft, and send emails. Handles labels and threads for inbox automation.
Create and update pages, search databases, manage blocks. Turns Notion into a programmable knowledge base for your AI.
Search, read, and create documents and spreadsheets. Connects your AI to the files your team already lives in.
Read and write markdown notes in your vault. Great for personal knowledge management and research workflows.
Read and update contacts, deals, and companies. Automate CRM data entry and pipeline management.
Search contacts and companies, enrich leads, and manage outreach sequences directly from your AI assistant.
Query and update Salesforce objects. Run SOQL queries, manage records, and automate reporting.
Manage repos, issues, pull requests, and code reviews. The backbone of AI-assisted development workflows.
Create and update issues, manage projects, and track cycles. Keeps your AI in sync with your engineering team.
Query error reports, view stack traces, and track issue trends. Let your AI help triage production errors.
Run read-only SQL queries against your Postgres databases. Useful for data exploration, reporting, and debugging.
Query local SQLite databases directly. Good for prototyping, analytics on local data, and lightweight projects.
Interact with your Supabase project, including database queries, auth management, and storage operations.
Manage products, orders, and customers. Pull sales data, update inventory, and automate store operations.
Query payments, subscriptions, and customer data. Generate financial reports and monitor revenue metrics.
Manage email campaigns, segments, and flows. Pull engagement metrics and automate marketing operations.
Pull traffic data, conversion metrics, and audience reports. Let your AI analyze website performance on demand.
Query metrics, view dashboards, and check alert statuses. Connect your AI to your infrastructure monitoring.
Access attribution data and marketing analytics. Combine with other MCP servers for full-funnel reporting.
Custom Integrations
We build production-grade MCP servers for platforms that don't have one yet. If your team uses it, we can connect it to Claude.
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MCP stands for Model Context Protocol. It's an open protocol created by Anthropic that gives AI models a standardized way to connect to external tools and data sources. Think of it as a USB port for AI: instead of building a custom integration for every app, MCP provides a single interface that works across all of them. Any AI assistant that supports MCP can use any MCP server, and any MCP server can work with any compatible AI assistant.
An MCP server is a small program that runs on your machine (or a remote server) and acts as a bridge between your AI assistant and an external service. When Claude needs to read a Slack message or update a Notion page, it sends a structured request to the appropriate MCP server. The server handles authentication, makes the API call, and returns the result. You configure which MCP servers are available in a JSON config file, and the AI assistant discovers what tools each server offers at startup.
For most pre-built servers, no. Installation is typically one npm command, and configuration means editing a JSON file with your API keys and preferences. If you can follow a step-by-step guide, you can get a server running in under five minutes. Building a custom MCP server for a tool that doesn't have one yet does require development work, which is where teams like ours come in.
Claude Desktop, Claude Code, Cursor, Windsurf, and several other AI-powered tools support MCP natively. The protocol is open source, so support is expanding. Claude was the first major AI assistant to adopt MCP, and it remains the most fully integrated.
MCP servers run locally on your machine by default, so your credentials never leave your environment. Each server only has access to the specific APIs you configure. You control which tools are available and can revoke access at any time. For remote MCP servers, OAuth 2.0 is the standard authentication method, and you approve each connection explicitly.