The Best MCP Tools in 2026

Building and testing servers

If you are writing an MCP server, fastmcp is the most direct route, a Python framework that handles the protocol plumbing so you focus on tools and resources, and it has become the common starting point for custom servers. When it is time to verify behavior, mcpjam fills the testing gap with a way to inspect and exercise servers before you ship them. gram is worth a look for turning existing APIs into MCP servers, which shortens the path from a REST endpoint to something an agent can call.

Integration platforms

The largest category is platforms that expose many managed integrations through MCP so your agent can act across real apps. composio is the broadest here, offering a large catalog of authenticated tool connections with managed auth, which fits teams that do not want to build and maintain dozens of integrations. klavis-ai and aci-dev compete in the same space with hosted tool access and auth handling, and arcade-dev stands out for its focus on secure, authenticated tool calling and permissioning, a real concern once agents touch production systems. apify-mcp-server is the pick when your need is web scraping and automation, bringing that large actor library into an agent through MCP.

Hosting, data, and discovery

For infrastructure, cloudflare-mcp lets you deploy remote MCP servers on edge infrastructure, which suits teams that want managed hosting rather than running their own processes. When agents need to query real databases safely, mcp-toolbox-for-databases provides a controlled bridge to SQL sources with guardrails rather than raw connection strings. On discovery, glama serves as a directory and host for browsing available servers. memnest addresses a narrower but growing need, giving agents persistent memory through MCP so context survives across sessions. Start from the job: build with fastmcp, connect with composio or arcade-dev, host on cloudflare-mcp, and test with mcpjam.