MCP Conductor

Example Use Cases

• 1

  Reduce token usage by processing MCP server responses in a sandbox before returning results.

• 2

  Orchestrate multiple MCP servers in parallel with minimal context window overhead.

• 3

  That require secure, isolated execution of TypeScript code to aggregate and filter data from various MCP tools.

Description

MCP Conductor runs TypeScript code inside a secure Deno sandbox to process and aggregate responses from multiple MCP servers, returning only compact summaries to the AI context window. This approach reduces token usage by up to 97.8%, lowering costs and improving efficiency. It supports parallel execution, hot reload of server configs, and integrates with various AI tools like Claude, Gemini, and VS Code.