MCP Funnel
M

MCP Funnel

MCP Funnel is a proxy server that can aggregate multiple MCP servers into a single interface. Through refined tool filtering, it significantly reduces context token consumption, supports dynamic discovery, and enables tools on demand.
2.5 points
7.7K

What is MCP Funnel?

MCP Funnel is a Model Context Protocol proxy server. It solves the problem that most MCP servers expose all tools without filtering, resulting in wasted context space. It allows you to connect multiple MCP servers (GitHub, Memory, file system, etc.) and only expose the tools you need through intelligent filtering.

How to use MCP Funnel?

Define the servers to connect and tool filtering rules through a simple configuration file, and then configure and use it in Claude Desktop or Claude Code CLI. MCP Funnel will automatically handle tool discovery, filtering, and routing.

Use cases

Suitable for users who need to use multiple AI tools simultaneously but are limited by context length, especially developers, technical writers, and professionals who need to handle complex workflows.

Main Features

Multi - server Aggregation
Connect to any number of MCP servers simultaneously and manage all tools uniformly.
Smart Tool Filtering
Use wildcard patterns to finely control which tools are exposed, supporting filtering by server and function category.
Context Optimization
Reduce the context usage of MCP tools by 40 - 60% through selective filtering.
Dynamic Tool Discovery
Discover tools through keyword search and enable required functions on demand.
Core Tools Mode
Ultra - low context mode, only exposing 3 core tools to achieve over 95% context savings.
Server Log Prefixing
Clear server identification for easy debugging and problem troubleshooting.
Advantages
Significantly reduce context usage and improve the efficiency of AI assistants.
A flexible filtering system for precise control of available tools.
Support multiple MCP server types and transmission methods.
The dynamic discovery function makes tool usage more intelligent.
The core tools mode achieves extreme context optimization.
Limitations
The dynamic tool discovery function is limited by Claude Code CLI (requires restarting the session).
Initial configuration requires knowledge of server commands and parameters.
Filtering rules need to be maintained to maintain optimal performance.

How to Use

Install MCP Funnel
Install globally via npm or run directly using npx.
Create a Configuration File
Create a.mcp - funnel.json file in the project directory to define servers and filtering rules.
Configure the AI Client
Configure MCP Funnel in Claude Code CLI or other MCP - supported clients.
Use Tools
Start an AI session and use the filtered tools for work.

Usage Examples

Code Review Assistant
Use GitHub tools for code review and code inference tools to analyze code logic.
Documentation Writing Workflow
Combine file system tools and memory tools for documentation writing and knowledge management.
Multi - platform Project Management
Manage GitHub projects and local file projects simultaneously.

Frequently Asked Questions

How does MCP Funnel save context space?
What are the limitations of dynamic tool discovery?
How to configure tool filtering rules?
What types of MCP servers are supported?
How does the core tools mode work?

Related Resources

Official GitHub Repository
Get the latest code, submit issues, and participate in contributions.
Model Context Protocol Documentation
Understand the basic principles and specifications of the MCP protocol.
Claude Code CLI Configuration Guide
Learn how to configure Claude Code to use MCP servers.
MCP Server Ecosystem
Explore other available MCP servers.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "mcp-funnel": {
      "command": "npx",
      "args": ["-y", "mcp-funnel"]
    }
  }
}

{
  "mcpServers": {
    "mcp-funnel": {
      "command": "npx",
      "args": ["-y", "mcp-funnel", "/path/to/your/.mcp-funnel.json"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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