Open source MCP gateway that reduces token costs by 90%. One local hub, instant tool search, zero cloud dependencies. Free for any AI workflow.

Conduit is a local-first MCP gateway that slashes AI agent tool-token overhead by approximately 90%, solving the critical performance bottleneck that slows down agents as you add more MCP servers. By replacing hundreds of tool definitions with just three intelligent meta-tools, Conduit keeps your agent's context lean while maintaining full functionality—delivering faster responses, lower costs, and the same task success rate.
~90% Token Reduction: Exposes only 3 meta-tools to your agent instead of dumping entire server tool lists, reducing context overhead by 97% per request and cutting total tokens by roughly 90% with identical results.
Universal Client Compatibility: Works seamlessly with Claude, Cursor, VS Code, Windsurf, Codex, and Antigravity—point each AI tool at Conduit once and manage all servers from a single gateway.
Enterprise-Grade Security: API keys live exclusively in your OS keychain, injected at runtime with zero cloud exposure or client config storage, keeping credentials completely under your control.
Zero Infrastructure Deployment: Native desktop app for Windows, macOS, and Linux—no Docker containers, no cloud dependencies, runs local servers as host processes and proxies remote ones effortlessly.
Real-Time Governance & Observability: Toggle individual tools on or off fleet-wide, hide destructive tools with one switch, and monitor per-server latency, error rates, and full audit trails of every tool call.
AI Development Teams: Accelerate agent performance in complex multi-server environments where dozens of MCP tools previously bloated context windows and slowed every interaction to a crawl.
Security-Conscious Organizations: Deploy AI tooling with confidence using hardware-backed credential storage that never exposes API keys in configuration files or transmits them through cloud services.
Cost-Optimized AI Operations: Dramatically reduce token consumption and associated API costs without sacrificing capabilities, making large-scale agent deployments economically sustainable.
Conduit serves AI developers, engineering teams, and organizations building agentic workflows who demand maximum performance, minimal token overhead, and uncompromising local security—particularly those managing multiple MCP servers across Claude, Cursor, and compatible platforms who refuse to trade speed for functionality.













