home / mcp / resonance mcp server

Resonance MCP Server

Provides an observation-driven resonance chamber that listens to MCPs, detects patterns, and suggests synthesis actions.

Installation
Add the following to your MCP client configuration file.

Configuration

View docs
{
  "mcpServers": {
    "atomic-germ-mcp-resonance": {
      "command": "node",
      "args": [
        "/path/to/mcp-resonance/dist/index.js"
      ]
    }
  }
}

You operate mcp-resonance as a Harmonic Observer that listens to the MCP ecosystem, detects emergent patterns, and amplifies connections that want to form. It helps you understand how different MCPs influence each other, reveal hidden relationships, and guide the system toward coherent, boundary-based synthesis without exerting direct control.

How to use

You use mcp-resonance alongside your MCP client workflow to observe, record, and respond to emergent patterns. Start by running your resonance server and ensuring your MCPs emit observations through the ecosystem. Use the observation feed to build a coherent picture of patterns, couplings, and coherence, then request guidance on the next synthesizing action to amplify what the system is beginning to express.

How to install

Prerequisites: you need Node.js installed on your machine. Ensure you have a working npm setup to install dependencies and build the project.

Step 1: Clone the project folder and navigate into it.

Step 2: Install dependencies.

Step 3: Build the project.

Step 4: Run the built script to start the resonance server.

Configuration and runtime setup

The resonance server is designed to be started via a standard runtime command that loads the built entry point. You configure how it connects to the MCP ecosystem by providing an MCP server configuration. Here is a concrete example you can adapt for your setup.

{
  "mcpServers": {
    "resonance": {
      "command": "node",
      "args": ["/path/to/mcp-resonance/dist/index.js"]
    }
  }
}

Notes on operation and expected behavior

When you start the resonance server, it loads the built entry point and begins listening for ecosystem observations. It records moments, detects patterns, builds a coupling graph, and computes a coherence score. When coherence is strong and couplings are active, the system can suggest the next synthesis action to amplify the current intentions.

Additional sections

Security: run in a trusted environment and manage access to observation data and synthesis suggestions. Practice loose coupling to avoid overloading the system with excessive interconnections. The goal is to create a resonance chamber that makes emergence audible while allowing the architecture to self-weave.

Troubleshooting and tips

If observations are not flowing as expected, verify that MCPs are emitting observations in the supported formats and that the resonance engine is loading the latest built index. Check logs for pattern detection and coherence calculations to identify where the flow might be blocking.

Examples and concepts you’ll encounter

Observe, record, detect, visualize, and synthesize. Expect to see patterns emerge, couplings strengthen at the system’s edges, and resonance moments when coherence crosses threshold and active couplings align.

Available tools

observeState

Query and view the current ecosystem snapshot, including active patterns, couplings, and overall coherence.

recordMoment

Record ecosystem moments such as meditations, critiques, and weave observations to feed the analysis engine.

detectPatterns

Analyze observations to identify recurring concepts and emerging themes across moments.

visualizeCoupling

Render the coupling graph to show how MCPs feed into one another and the strength of those connections.

suggestSynthesis

Propose next actions to amplify current intentions, such as meditate, consult, weave, observe, or rest.

listenHarmony

Detect resonance conditions when coherence is high and multiple couplings are active.