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What is Conduit?
Many AI agents experience slowdowns as the number of connected MCP servers grows because each server contributes extensive tool definitions to every request. Conduit addresses this by routing all server interactions through a single desktop application that dynamically searches and exposes only relevant tools on demand. The application supports per-tool controls for enabling or disabling functions across all connected clients at once. It stores credentials securely in the operating system keychain and offers built-in monitoring of server performance along with complete logs of tool usage. Designed as a native application without requiring containers or external services, Conduit integrates with popular AI development environments and handles both local and remote servers seamlessly.
Key features
Local-first MCP gateway exposing 3 meta-tools
97% less tool overhead per request
~90% fewer tokens in agent context
Secrets stored in OS keychain
Per-tool governance with toggles
Live observability, latency metrics and audit trails
Native desktop app supporting local and remote servers
What you can use Conduit for
Streamlining Multi-Server MCP Workflows
Conduit acts as a single local gateway that connects multiple MCP servers to AI coding tools, keeping agent context manageable regardless of how many servers are added.
Securing API Credentials for Agents
API keys and secrets are stored directly in the OS keychain and injected at runtime, avoiding exposure in client configs or cloud services.
Governing and Monitoring Tool Usage
Per-tool toggles allow fleet-wide control over available functions while built-in latency metrics, error rates, and audit trails provide live observability inside the native desktop app.
How to use Conduit
- 1Download the native desktop app for Windows, macOS or Linux
- 2Launch Conduit and add local or remote MCP servers
- 3Point each AI coding tool at the Conduit gateway once
- 4Configure per-tool toggles and store secrets in the OS keychain
- 5Monitor live latency, error rates and audit trails inside the app
Conduit pricing
Pricing model: Open Source. Plan details are indicative — check the site for current prices.
Free
Free
- Local-first MCP gateway
- 3 meta-tools
- OS keychain secrets
- Per-tool governance
- Live observability
- Native desktop app
Editor's verdict
Pros
- +Dramatically reduces context token usage
- +Privacy-focused local keychain storage
- +Unified gateway for multiple MCP servers
Cons
- –Desktop application only
- –Requires one-time client configuration
Our take: Conduit is a solid coding & dev choice. It's valued for dramatically reduces context token usage and privacy-focused local keychain storage. The main trade-off is desktop application only. A good pick if you want capable AI without a high upfront cost.
Frequently asked questions
Conduit is a local-first MCP gateway that exposes three meta-tools so AI agents avoid loading full tool definitions from every connected server on each request.
Summary
Conduit is a solid coding & dev choice. It's valued for dramatically reduces context token usage and privacy-focused local keychain storage. The main trade-off is desktop application only. A good pick if you want capable AI without a high upfront cost.
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