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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.
Execute Python, bash, file operations, and text search over Streamable HTTP.
Build and run a streamable HTTP MCP server with Python and FastAPI.
Build a simple MCP tool server with streaming HTTP support.
Connect local LLM clients to OAuth-protected remote MCP servers securely.
Build and run MCP servers over streamable HTTP for AI assistants.
Turn stdio task tools into a stateful HTTP MCP server.