Neural Architect

A TypeScript-based MCP-server tool enabling concurrent chains of thought with real-time reinforcement learning. Seamlessly integrates with Neo4j for advanced graph analytics, facilitating dynamic and adaptive cognitive processing.
  • typescript

19

GitHub Stars

typescript

Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs
{
  "mcpServers": {
    "ssdeanx-branch-thinking": {
      "command": "node",
      "args": [
        "/path/to/tools/branch-thinking/dist/index.js"
      ]
    }
  }
}

You have access to the Neural Architect MCP Server, a modular processing engine that coordinates multi-branch thinking, semantic analysis, and platform-specific optimizations through the MCP protocol. This server enables you to manage thought branches, run analyses, and share results across supported clients in a standardized way.

How to use

Connect to and run the MCP server locally or via a supported client. You can start a local stdio-based server, allowing Claude Desktop, VSCode, Cursor, and CLIs to communicate with the engine. The server exposes structured thinking, semantic processing, and analytics that your MCP clients can utilize to orchestrate multi-branch reasoning, cross-tool coordination, and bias monitoring.

Typical usage patterns include starting the local server, then invoking client commands to create, focus, or analyze thought branches. You can trigger semantic analyses, request cross-reference insights, and monitor bias scores as part of your standard workflow. When you issue analysis requests, the server processes inputs through its cognitive pipeline and returns structured results suitable for visualization in your client interfaces.

How to install

Prerequisites you need before installation: Node.js version 18 or later and a modern npm. Ensure your environment has network access for installation and running the server if you plan to use remote resources.

Install the MCP server component for development and local use.

npm install @modelcontextprotocol/server-branch-thinking

Install the Command Line interface for quick CLI access.

npm install -g @mcp/branch-thinking-cli

For Claude Desktop and other clients, you run a local stdio-based process. Use the Node runtime to start the server from the provided script.

node /path/to/tools/branch-thinking/dist/index.js

Configuration and examples

The MCP server can be started as a managed process that clients connect to using standard I/O transport. A typical runtime command uses a Node executable and the path to the built server script.

{
  "branch-thinking": {
    "command": "node",
    "args": ["/path/to/tools/branch-thinking/dist/index.js"]
  }
}

Security and maintenance

Keep Node.js updated to a supported LTS version and apply security patches as they are released. Control access to your local server by limiting environment exposure and using appropriate file permissions for the server script. Regularly review dependencies for security advisories and apply updates in a controlled manner.

Troubleshooting

If the server fails to start, verify that the path to the index script is correct and that the file has executable permissions. Check that the Node.js process has sufficient memory and that there are no port or I/O conflicts on your system.

Notes

This server is designed to work with multiple MCP clients via the Stdio Transport. Ensure you use compatible client configurations and provide any required environment setup as described in your deployment environment.

Available tools

branch-thinking

MCP server tool that coordinates multi-branch thinking, semantic processing, bias detection, and analytics across supported MCP clients.

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