The Intelligent Multiplexer for MCP

Stop Wasting Tokens.
Start Building Smarter Agents.

MCPlexor intelligently discovers and routes tools to your agent only when needed. Save up to 95% on context tokens, reduce hallucinations, and speed up your workflows.

curl -fsSL https://mcplexor.com/install.sh | bash

Works with your favorite agents - Claude Code, Augment Code, Cursor, and more

The Opportunity

Unlock Your Agent's Full Potential

Traditional approaches load every tool into context. MCPlexor intelligently selects only what's needed, freeing up space for better reasoning and saving you money.

30,000
Traditional Load

Traditional approach: loading all tools (Linear, GitHub, Figma) fills 15% of your context window before your agent can even reason.

<1,000
With MCPlexor

Smart approach: semantic search identifies intent and loads only the ~3 relevant tools, enabling faster inference and up to 95% cost savings.

15%
Context Saved

Free up context for deeper reasoning, richer conversation history, and more sophisticated outputs. Better agents, lower costs.

The Workflow

How It Works

A smart router that sits between your AI and your local tools, ensuring only relevant tools are loaded.

1. Setup

  • Install MCPlexor CLI
  • Configure your MCP servers
  • Connect to AI Assistant

2. Find (AI-Powered)

Claude asks for a tool (e.g. "Create issue"). MCPlexor sends metadata only to our AI to find the best match.

Metadata Only

3. Execute (100% Local)

Execution routes directly to your local MCP server.

Data stays local Fast execution
Flexible Deployment

Run Local or in the Cloud

Choose the architecture that fits your privacy and performance needs.

Local with Ollama

Bring Your Own Key (BYOK)

  • Zero cost (runs on your hardware)
  • 100% Private (data never leaves localhost)
  • Works offline

MCPlexor Cloud

Managed Routing (Coming Soon)

  • No local GPU required
  • Advanced embedding models
  • Always-on availability
Features

Built for Excellence

Essential infrastructure for developers building production-grade agents with Claude, OpenAI, or LangChain. Ship faster, smarter agents with lower costs.

Semantic Understanding

We don't just match keywords. Our embedding model understands that "fix the login bug" requires Linear (tickets) and GitHub (code), but not Figma (design).

"Update the user profile page design"
FigmaGitHubLinear

Drop-in Compatible

Works with any standard MCP client. No code changes needed in your agent. Just install the CLI and connect.

Secure & Private

Your tool definitions are indexed locally. Your actual data (file contents, issues, database rows) never leaves your environment.

Security

Privacy First Architecture

We've designed MCPlexor to be effective without being intrusive.

What We Send (Metadata)

  • Tool names (e.g., github/create_issue)
  • Tool descriptions
  • Input schemas (parameter definitions)
  • Natural language search query

What We DO NOT Send

  • Actual data (issue titles, file contents)
  • Tool execution payloads/results
  • API credentials (tokens, keys)
  • Personal information

Frequently Asked Questions