MCP Aggregator
An MCP (Model Context Protocol) aggregator that allows you to combine multiple MCP servers into a single interface. The code is mostly AI-generated.
Why combine MCP servers into one?
The primary reason for this app was to work around Cursor's limitation of only being able to use 2 MCP servers at a time. No matter which, in my case when I added 3rd MCP server, it was breaking the ability to use one of other two.
Overview
The MCP Aggregator acts as a bridge between Cursor (or any other MCP client) and multiple MCP servers. It functions both as an MCP server (when talking to Cursor) and as an MCP client (when talking to backend MCP servers).
Key features:
- Provides a stdio interface for Cursor and other MCP clients
- Connects to multiple backend MCP servers
- Prefixes methods from backend servers (e.g., "shortcut_search_stories" for "search_stories" method from a "shortcut" MCP)
- Automatically sanitizes tool names by replacing dashes with underscores for Cursor compatibility
- Configurable via environment variables and JSON config file
- Debug logging with configurable levels
Installation
Using install script (recommended)
You can install the latest version of combine-mcp using our installation script:
# Download and run the installation script
curl -fsSL https://raw.githubusercontent.com/nazar256/combine-mcp/main/install.sh | bash
# Or install a specific version
curl -fsSL https://raw.githubusercontent.com/nazar256/combine-mcp/main/install.sh | bash -s -- -v v1.0.0
The script will:
- Detect your operating system and architecture
- Download the appropriate pre-compiled binary
- Verify the checksum
- Install it to a suitable location in your PATH
- Make it executable
Using go install (alternative)
# Install directly from GitHub (binary will be placed in $GOPATH/bin)
go install github.com/nazar256/combine-mcp/cmd/combine-mcp@latest
# Ensure $GOPATH/bin is in your PATH
# For example, add this to your .bashrc or .zshrc:
# export PATH=$PATH:$(go env GOPATH)/bin
Using Docker (alternative)
You can run combine-mcp directly using Docker without installing it locally:
# Run the latest version
docker run --rm -v ~/.config/mcp:/config ghcr.io/nazar256/combine-mcp:latest
# Run a specific version
docker run --rm -v ~/.config/mcp:/config ghcr.io/nazar256/combine-mcp:v1.0.0
# Set environment variables
docker run --rm -v ~/.config/mcp:/config -e MCP_CONFIG=/config/config.json -e MCP_LOG_LEVEL=debug ghcr.io/nazar256/combine-mcp:latest
To use it with Cursor, you'd need to configure the MCP server to use Docker:
{
"mcpServers": {
"aggregator": {
"command": "docker",
"args": ["run", "--rm", "-v", "~/.config/mcp:/config", "ghcr.io/nazar256/combine-mcp:latest"],
"env": {
"MCP_CONFIG": "/config/config.json"
}
}
}
}
Using the Makefile
The project includes a Makefile for common tasks:
# Build the binary
make build
# Run tests
make test
# Clean up build artifacts
make clean
Usage
Configure the aggregator
Basically you can copy existing Cursor MCP config to a location of your choice, let's say ~/.config/mcp/config.json. It should look like this:
Nice feature for Cursor users is filtering tools from MCP servers. You can manage tools to not reach the limit of 40 tools in Cursor and not expose the ones you don't want Cursor to use.
{
"mcpServers": {
"shortcut": {
"command": "npx",
"args": ["-y", "@shortcut/mcp"],
"env": {
"SHORTCUT_API_TOKEN": "your-shortcut-api-token-here"
},
"tools": {
"allowed": ["search-stories", "get-story", "create-story"]
}
},
"github": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-github"],
"env": {
"GITHUB_TOKEN": "your-github-token-here"
}
}
}
}
Configure the aggregator in Cursor
Now in Cursor config you may leave the only one MCP server - aggregator. The config may look like this (assuming you have combine-mcp binary is instlaled your PATH and you have ~/.config/mcp/config.json file):
{
"mcpServers": {
"aggregator": {
"command": "combine-mcp",
"env": {
"MCP_CONFIG": "~/.config/mcp/config.json"
}
}
}
}
Environment Variables
MCP_CONFIG: Path to the configuration file (required)MCP_LOG_LEVEL: Logging level (error, info, debug, trace) - default: infoMCP_LOG_FILE: Path to the log fileMCP_PROTOCOL_VERSION: Force a specific protocol version for compatibilityMCP_CURSOR_MODE: Enable Cursor-specific compatibility adjustments
Use cases
Unified MCP config for multiple clients
One practical use case is to maintain a single MCP configuration file that is shared across different MCP-capable clients (e.g. Cursor, Windsurf, Gemini-CLI, Codex, Claude Code, GitHub Copilot agents, etc.).
Instead of configuring each client with its own list of MCP servers and duplicating secrets, you:
- Configure all backend MCP servers (and their secrets) once in the aggregator config.
- Point each client to the same
combine-mcpbinary with the sameMCP_CONFIGfile. - Let the aggregator handle prefixing, filtering and normalization of tools for every client.
This has a few benefits:
- Single source of truth for which MCP servers and tools are available.
- Centralized secret management – API tokens and other credentials live only in the aggregator config.
- Consistent behaviour across different IDEs/agents without per-client MCP reconfiguration.
- Secrets isolation – no need to share secrets with AI agent tools directly.
Tool Name Sanitization
The MCP Aggregator automatically sanitizes tool names by replacing dashes with underscores. This is necessary because Cursor has a known issue where it cannot properly detect or use tools with dashes in their names.
For example:
- Original tool name:
get-user - Sanitized tool name:
get_user - Prefixed tool name (for shortcut server):
shortcut_get_user
The sanitization is transparent - when you call a tool using the sanitized name, the aggregator maps it back to the original name when forwarding the request to the backend server.
Tool Filtering
The MCP Aggregator supports optional tool filtering per server. This is useful when you want to:
- Limit the number of exposed tools to stay within Cursor's tool limit (40 tools maximum)
- Only expose specific tools from each server
- Avoid tool name conflicts between servers
- Improve performance by reducing the number of tools to process
To enable tool filtering, add a tools object to your server configuration with an allowed array listing the tools you want to expose:
{
"mcpServers": {
"shortcut": {
"command": "npx",
"args": ["-y", "@shortcut/mcp"],
"env": {
"SHORTCUT_API_TOKEN": "your-shortcut-api-token-here"
},
"tools": {
"allowed": [
"search-stories",
"get-story",
"create-story",
"assign-current-user-as-owner"
]
}
},
"github": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-github"],
"env": {
"GITHUB_TOKEN": "your-github-token-here"
},
"tools": {
"allowed": [
"create-pr",
"list-prs",
"get-pr",
"merge-pr"
]
}
}
}
}
Recommend MCP Servers 💡
jzumwalt/git-mcp
An MCP server that provides AI tools access to up-to-date documentation and code from GitHub repositories
Memvid
Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.
akr4/claude-code-mcp-docker
A Dockerized Claude Code MCP server designed for secure code execution, providing an isolated development environment for AI interactions.
marcusdb/github-mcp-server-ts
MCP Server for GitHub API enabling file operations, repository management, search, and more.
@binalyze/air-mcp
A Node.js server implementing Model Context Protocol (MCP) for Binalyze AIR, enabling natural language interaction with AIR's digital forensics and incident response capabilities.
@pluggedin/pluggedin-mcp-proxy
A powerful middleware that aggregates multiple Model Context Protocol (MCP) servers into a single unified interface, enabling seamless integration with any MCP client and providing advanced management capabilities.