Gemini Thinking Server
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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Tools
geminithinking
A detailed tool for dynamic and reflective problem-solving through Gemini AI. This tool helps analyze problems through a flexible thinking process powered by Google's Gemini model. Each thought can build on, question, or revise previous insights as understanding deepens. When to use this tool: - 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 - Problems that require a multi-step solution - Tasks that need to maintain context over multiple steps - Situations where irrelevant information needs to be filtered out Key features: - Leverages Gemini AI for deep analytical thinking - Provides meta-commentary on the reasoning process - Indicates confidence levels for generated thoughts - Suggests alternative approaches when relevant - You can adjust total_thoughts up or down as you progress - You can question or revise previous thoughts - You can add more thoughts even after reaching what seemed like the end - You can express uncertainty and explore alternative approaches - Not every thought needs to build linearly - you can branch or backtrack - Session persistence: save and resume your analysis sessions Parameters explained: - query: The question or problem to be analyzed - context: Additional context information (e.g., code snippets, background) - approach: Suggested approach to the problem (optional) - previousThoughts: Array of previous thoughts for context - thought: The current thinking step (if empty, will be generated by Gemini) - next_thought_needed: True if you need more thinking, even if at what seemed like the end - thought_number: Current number in sequence (can go beyond initial total if needed) - total_thoughts: Current estimate of thoughts needed (can be adjusted up/down) - is_revision: A boolean indicating if this thought revises previous thinking - revises_thought: If is_revision is true, which thought number is being reconsidered - branch_from_thought: If branching, which thought number is the branching point - branch_id: Identifier for the current branch (if any) - needs_more_thoughts: If reaching end but realizing more thoughts needed - metaComments: Meta-commentary from Gemini about its reasoning process - confidenceLevel: Gemini's confidence in the generated thought (0-1) - alternativePaths: Alternative approaches suggested by Gemini Session commands: - sessionCommand: Command to manage sessions ('save', 'load', 'getState') - sessionPath: Path to save or load the session file (required for 'save' and 'load' commands) You should: 1. Start with a clear query and any relevant context 2. Let Gemini generate thoughts by not providing the 'thought' parameter 3. Review the generated thoughts and meta-commentary 4. Feel free to revise or branch thoughts as needed 5. Consider alternative paths suggested by Gemini 6. Only set next_thought_needed to false when truly done 7. Use session commands to save your progress and resume later
README
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 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
{
"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 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:
node dist/session-example.js
To run the advanced filtering example:
node dist/advanced-filtering-example.js
License
MIT
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