Battle-tested MCP (Model Context Protocol) server framework for connecting AI agents to databases, APIs, and internal tools. Works with Claude, GitHub Copilot, local models, and any MCP-compatible client.
Pre-built, production-ready MCP servers for the most common AI integration needs ? databases, APIs, file systems, and more.
Connect AI agents to PostgreSQL, SQLite, and MySQL. Natural language queries, schema introspection, read/write access.
DatabasesBridge any REST API to your AI agent. Auto-discover endpoints, handle auth, parse responses ? no custom glue code.
APIsLet AI agents read, write, search, and organize files on your local or network storage. Sandboxed and permission-gated.
FilesGive AI agents real-time web access. Search, scrape, and summarize with configurable rate limits and domain allowlists.
WebBuilt-in secrets vault and token rotation. Store API keys and credentials securely ? agents access them through MCP only.
SecurityWorks with Claude Desktop, GitHub Copilot, E-Labs Copilot, Cursor, VS Code, and any MCP-compatible agent framework.
UniversalMCP standardizes how AI models connect to tools and data. E-Labs MCP Servers are battle-tested, easy to deploy, and fully compatible with the spec.
Claude, Copilot, Cursor, or any MCP host sends a tool request via the standardized MCP protocol.
Stdio or SSE transport layer carries the request to the server. No custom SDKs or networking boilerplate.
Each MCP server implements tool handlers, resource readers, and prompt templates. Declarative YAML configuration.
Connected to databases, file systems, APIs, or any backend. Sandboxed and permission-gated per user/org.
MCP Server marketplace is on the roadmap. Leave your email and we'll let you know when pre-built servers are available.
We'll only email you about MCP Servers availability.