The Gemini Thinking Server is a specialized tool for dynamic, reflective problem-solving using Google's Gemini AI. Key capabilities include:
- Breaking down complex problems into manageable steps
- Planning solutions with flexibility for revisions
- Handling analyses that require course correction or have unclear initial scope
- Providing meta-commentary on the reasoning process with confidence levels
- Supporting non-linear thinking through branching and revising previous thoughts
- Suggesting alternative problem-solving approaches
- Maintaining context through session persistence (save, load, getState commands)
- Filtering irrelevant information during analysis
- Adjusting the estimated number of thoughts needed as work progresses
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
Usage
Environment Setup
Before running the server, you need to set up your Gemini API key:
Running the Server
Tool Parameters
The geminithinking
tool accepts the following parameters:
query
(required): The question or problem to analyzecontext
(optional): Additional context informationapproach
(optional): Suggested approach to the problempreviousThoughts
(optional): Array of previous thoughts for contextthought
(optional): Your current thinking step (if empty, will be generated by Gemini)nextThoughtNeeded
(required): Whether another thought step is neededthoughtNumber
(required): Current thought numbertotalThoughts
(required): Estimated total thoughts neededisRevision
(optional): Whether this revises previous thinkingrevisesThought
(optional): Which thought is being reconsideredbranchFromThought
(optional): Branching point thought numberbranchId
(optional): Branch identifierneedsMoreThoughts
(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
Example: Loading a Session
Example: Getting Session State
Example
Here's an example of how to use the tool:
Response Format
The server responds with:
Example Clients
Several example clients are provided to demonstrate different use cases:
sample-client.js
: Basic client exampleexample-usage.js
: Specific usage examplecodebase-analysis-example.js
: Example for codebase analysissession-example.js
: Example demonstrating session persistenceadvanced-filtering-example.js
: Example demonstrating advanced semantic filtering
To run the session example:
To run the advanced filtering example:
License
MIT
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.
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