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Gemini Thinking Server

by bartekke8it56w2
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JavaScript
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Integrations

  • Leverages Google's Gemini API to provide analytical thinking capabilities for complex problem-solving without code generation, featuring meta-commentary, confidence levels, and alternative solution paths.

Model Context Protocol - Gemini Thinking Server

This is an implementation of the Model Context Protocol (MCP) that integrates with Google's Gemini API to provide analytical thinking capabilities without code generation.

Overview

The Gemini Thinking Server is a specialized MCP server that leverages Google's Gemini model to provide sequential thinking and problem-solving capabilities. It allows for:

  • Breaking down complex problems into steps
  • Planning and design with room for revision
  • Analysis that might need course correction
  • Problems where the full scope might not be clear initially

Features

  • Gemini-Powered Thinking: Utilizes Gemini's analytical capabilities to generate thoughtful responses
  • Meta-Commentary: Provides insights into the reasoning process
  • Confidence Levels: Indicates how confident Gemini is in its analysis
  • Alternative Paths: Suggests different approaches to the problem
  • Branching Thoughts: Allows exploration of different thought paths
  • Revision Capability: Supports revising previous thoughts
  • Session Persistence: Save and resume analysis sessions

Installation

# Clone the repository git clone <repository-url> # Install dependencies npm install # Build the project npm run build

Usage

Environment Setup

Before running the server, you need to set up your Gemini API key:

export GEMINI_API_KEY=your_api_key_here

Running the Server

node dist/gemini-index.js

Tool Parameters

The geminithinking tool accepts the following parameters:

  • query (required): The question or problem to analyze
  • context (optional): Additional context information
  • approach (optional): Suggested approach to the problem
  • previousThoughts (optional): Array of previous thoughts for context
  • thought (optional): Your current thinking step (if empty, will be generated by Gemini)
  • nextThoughtNeeded (required): Whether another thought step is needed
  • thoughtNumber (required): Current thought number
  • totalThoughts (required): Estimated total thoughts needed
  • isRevision (optional): Whether this revises previous thinking
  • revisesThought (optional): Which thought is being reconsidered
  • branchFromThought (optional): Branching point thought number
  • branchId (optional): Branch identifier
  • needsMoreThoughts (optional): If more thoughts are needed

Session Management

The tool also supports session management commands:

  • sessionCommand: Command to manage sessions ('save', 'load', 'getState')
  • sessionPath: Path to save or load the session file (required for 'save' and 'load' commands)
Example: Saving a Session
{ "sessionCommand": "save", "sessionPath": "/path/to/save/session.json", "query": "dummy", "thoughtNumber": 1, "totalThoughts": 1, "nextThoughtNeeded": false }
Example: Loading a Session
{ "sessionCommand": "load", "sessionPath": "/path/to/load/session.json", "query": "dummy", "thoughtNumber": 1, "totalThoughts": 1, "nextThoughtNeeded": false }
Example: Getting Session State
{ "sessionCommand": "getState", "query": "dummy", "thoughtNumber": 1, "totalThoughts": 1, "nextThoughtNeeded": false }

Example

Here's an example of how to use the tool:

{ "query": "How might we design a sustainable urban transportation system?", "context": "The city has 500,000 residents and currently relies heavily on personal vehicles.", "approach": "Consider environmental, economic, and social factors.", "thoughtNumber": 1, "totalThoughts": 5, "nextThoughtNeeded": true }

Response Format

The server responds with:

{ "thought": "The generated thought from Gemini", "thoughtNumber": 1, "totalThoughts": 5, "nextThoughtNeeded": true, "branches": [], "thoughtHistoryLength": 1, "metaComments": "Meta-commentary about the reasoning", "confidenceLevel": 0.85, "alternativePaths": ["Alternative approach 1", "Alternative approach 2"] }

Example Clients

Several example clients are provided to demonstrate different use cases:

  • sample-client.js: Basic client example
  • example-usage.js: Specific usage example
  • codebase-analysis-example.js: Example for codebase analysis
  • session-example.js: Example demonstrating session persistence
  • advanced-filtering-example.js: Example demonstrating advanced semantic filtering

To run the session example:

node dist/session-example.js

To run the advanced filtering example:

node dist/advanced-filtering-example.js

License

MIT

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remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Tools

An MCP server implementation that leverages Google's Gemini API to provide analytical problem-solving capabilities through sequential thinking steps without code generation.

  1. Overview
    1. Features
      1. Installation
        1. Usage
          1. Environment Setup
          2. Running the Server
          3. Tool Parameters
          4. Session Management
        2. Example
          1. Response Format
            1. Example Clients
              1. License

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