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Expose local stdio MCP servers as remote HTTP endpoints with auth controls.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Levitate" yet — see the docs or source repo.
Explain how to use Levitate to turn a locally running stdio MCP server into a Streamable HTTP endpoint accessible by a cloud AI client, including deployment steps and key considerations.
A deployment guide covering the architecture, startup flow, connection method, and common configuration details.
Provide configuration guidance for enabling bearer-token authentication on a remote MCP HTTP endpoint with Levitate, and explain how to manage tokens securely.
A security configuration guide describing the auth flow, token management approach, and risk mitigation measures.
Explain how to use Levitate's tool policy filtering to allow a cloud AI client to call only selected MCP tools, and provide example policy designs.
A policy design guide with example allow/deny rules and least-privilege recommendations.
Build a simple MCP tool server with streaming HTTP support.
Deploy an authless remote MCP server and connect AI clients quickly.
Deploy an authless remote MCP server and connect it to AI clients.
Deploy an authless remote MCP server for AI clients to use custom tools.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Deploy MCP servers over HTTP for AI-accessible text, math, and content tools.