- Available Tools
- Integration Tools (Optional)
- Gong Tools (3)
- Fathom Tools (3)
- Fireflies Tools (3)
- Workflow
- Discovery Phase (Optional)
- Setup Phase
- Workflow Phases
- Setup Phase
- Training Phase
- Simulation Phase
- Common Patterns
- Discovering Existing Minds
- First-Time Setup
- Adding New Data
- Running Multiple Simulations
- Error Handling
- See Also
Tools Reference
Mind Reasoner provides eight MCP tools that work together in a logical sequence. You don’t need to memorize these tools—simply describe what you want in natural language, and Mind Reasoner will automatically select and execute the appropriate tools.
Available Tools
Most commonly used: get_all_minds, search_minds, and simulate for working with existing minds. Setup tools are typically used once per mind.
Integration Tools (Optional)
When you connect Gong, Fathom, or Fireflies to your MCP server, up to 9 additional tools become available alongside the core Mind Reasoner tools. These tools let you access existing transcript repositories without manual file uploads.
Gong Tools (3)
Fathom Tools (3)
Fireflies Tools (3)
Graceful Degradation
Integration tools only appear when the corresponding credentials are configured. The MCP server works perfectly without any integrations—they’re completely optional and additive.
Learn more:
- Integration Overview - What integrations are available and why use them
- Gong Setup - How to connect to Gong
- Fathom Setup - How to connect to Fathom
- Fireflies Setup - How to connect to Fireflies
Workflow
Discovery Phase (Optional)
Explore existing minds before creating new ones:
Setup Phase
Create and train new minds:
Your AI assistant handles the workflow automatically. Understanding this sequence helps when debugging or building custom integrations.
Workflow Phases
Setup Phase
Create the digital entity and upload conversation data.
Training Phase
Process uploaded data into a trained AI model.
Simulation Phase
Run unlimited predictions using the trained model.
Common Patterns
Discovering Existing Minds
Check what minds already exist before creating new ones.
Time: Seconds
Natural language example:
First-Time Setup
Run the core workflow to create a mind, upload data, train the model, and run your first simulation.
Time: 10-20 minutes (mostly waiting for training)
Natural language example:
Adding New Data
Update an existing mind by skipping step 1 (mind already exists) and running steps 2-6 with new data.
Time: 7-17 minutes
Running Multiple Simulations
After training is complete, run simulate as many times as needed without re-training.
Time: Seconds per simulation
Perfect for:
- Testing multiple scenarios
- Training team members
- QA validation
- Batch predictions
Error Handling
All tools return standard HTTP error responses. Each tool’s documentation page includes detailed error handling guidance.
401 Unauthorized
Invalid or missing API key. Verify key in MCP server configuration.
404 Not Found
Resource ID is incorrect or deleted. Double-check IDs (case-sensitive).
429 Rate Limit Exceeded
Too many requests. Wait for the time specified in retryAfter before retrying.
400 Bad Request
Invalid parameters or format. Check the error details field for specifics.
