AI Topic: MCP Servers

Speakeasy provides tools to generate idiomatic SDKs and Terraform providers, host and deploy MCP servers, and build agent tools and developer experiences for connecting LLMs to real-world APIs.

WorkOS MCP is an OAuth 2.1 authorization server for securing Model Context Protocol servers, providing dynamic client registration, PKCE, JWT verification, and token management for AI agents—plus enterprise SSO, directory sync, and admin tooling.

Memory layer for AI apps and agents. Open-source SDK + managed API that adds long-term, semantic and graph memory with fast retrieval, policy controls, and analytics.

High-accuracy web research and search APIs built for AI agents, providing structured answers, citations, and MCP-ready integrations.

Local MCP server in Figma Dev Mode that pipes design context (variables, components, layout) to AI coding tools like VS Code, Cursor, Windsurf, and Claude Code.

Zapier’s Model Context Protocol server exposes Zaps and app actions as MCP tools for AI agents like Claude, Cursor, and Windsurf.

TypeScript framework for building and shipping MCP applications with file system routing, hot reloading, and flexible deployment options.

MCP server that gives AI coding agents access to Figma design data for one-shot design implementation.

Free, open-source coding agent toolkit that connects LLMs to your codebase using symbolic tools, editing, and execution.

Keep your AI agents grounded in real, up-to-date library docs and examples using version-aware context injection.