MCP Quick Start

Connect Claude to Mind Reasoner in under 5 minutes.

Mind Reasoner MCP

Instant Access to Digital Twins

The MCP Server brings Mind Reasoner into your AI conversations. Create digital minds, upload transcripts, and run simulations without leaving Claude—no code required.

What You’ll Build

In this guide, you’ll:

  • Connect Claude to Mind Reasoner’s MCP Server
  • Create your first digital mind
  • Upload conversation transcripts
  • Run your first simulation

Time required: 5-10 minutes


Prerequisites

1

Get Your API Key

Log in to Mind Reasoner and copy your API key from the dashboard. Keep it secure.

2

Install Claude CLI

If you haven’t already, ensure Claude CLI is installed and you’re logged in.

3

Prepare a Transcript

Have a conversation transcript file ready (.vtt, .pdf, or .docx format). This will be used to train your first mind.


Setup (2 minutes)

Connect Claude to the Mind Reasoner MCP Server:

$claude mcp add --transport http mind-reasoner \
> https://mcp.mindreasoner.com/mcp \
> --header "Authorization: Bearer {{YOUR_API_KEY}}"

Restart Claude Desktop for the connection to take effect.

Connected

Mind Reasoner tools are now available in Claude. You can verify by asking: “What Mind Reasoner tools do you have access to?”


Your First Mind (3 steps)

Now let’s create a digital mind and run your first simulation:

1

Create and Upload

You:

"Create a new mind for my sales manager named Alex, then
upload the transcript at /Users/me/Documents/sales-calls.vtt"

Mind Reasoner:

  • ✓ Creates the mind
  • ✓ Gets a secure upload URL
  • ✓ Uploads your transcript file
  • ✓ Confirms when complete
2

Wait for Training

You:

"Let me know when Alex's mind is ready."

Mind Reasoner:

Monitors the training status automatically and notifies you when complete (typically 5-15 minutes).

While waiting, you can continue other tasks in Claude Code.

3

Run Your First Simulation

You:

"How would Alex handle a prospect who says our product is
too expensive compared to competitors?"

Mind Reasoner:

Runs a simulation and returns Alex’s predicted response, including communication style, tone, and approach.

You're Running Simulations

You’ve created a digital mind and run your first simulation. You can now ask unlimited questions about how Alex would handle any sales scenario.


How It Works

Behind the scenes, Claude Code uses Mind Reasoner’s MCP tools to interact with the Mind Reasoner service:

🧠

Mind Creation

Creates a digital entity to represent the person. This establishes identity and metadata.

📤

Data Upload

Securely uploads transcripts using signed URLs. Your data goes directly to secure storage.

🤖

AI Training

Analyzes conversation patterns to build a snapshot. Captures style, tone, and decision-making patterns.

Status Monitoring

Automatically checks when training completes. No manual polling needed—Mind Reasoner handles it.

Simulations

Generates predictions based on trained patterns. Instant responses, unlimited scenarios.

🔄

Continuous Use

Run unlimited simulations without re-training. Update with new data when patterns evolve.

Natural Language Interface

You don’t need to know technical details. Just describe what you want in plain English—Claude Code selects the appropriate tools, and Mind Reasoner executes them automatically.


Example Conversations

Here are natural ways to interact with Mind Reasoner through Claude Code:

Discovering Existing Minds

You: "Show me all the minds I've created."
Mind Reasoner: [Uses get_all_minds]
"You have 3 minds:
1. Sarah - Customer Service Manager (ready for simulations)
2. Mike - Sales Executive (training in progress)
3. Jordan - Technical Support Lead (ready for simulations)"
You: "Find minds related to sales."
Mind Reasoner: [Uses search_minds]
"Found 1 mind: Mike - Sales Executive"

Creating Multiple Minds

You: "Do I already have a mind for customer service?"
Mind Reasoner: [Searches first]
"Yes, you have 'Sarah - Customer Service Manager' already.
Would you like to use that or create a new one?"
You: "Create a new one called 'Customer Service Team Lead'."
Mind Reasoner: [Creates new mind]
"Created. Ready to upload transcripts."

Comparing Responses

You: "For both Sarah and Mike, show how they would respond
to an angry customer whose order was delayed by 2 weeks."
Mind Reasoner: [Runs simulations for both minds]
"Here's how each would respond:
Sarah (Customer Service):
[Empathetic, solution-focused response]
Mike (Sales):
[Relationship-preservation, future-focused response]"

Batch Testing

You: "Test how our support team mind would handle these five
scenarios:
1. Password reset issues
2. Billing disputes
3. Feature requests
4. Technical bugs
5. Account cancellations"
Mind Reasoner: [Runs five simulations]
"I've tested all five scenarios. I notice the responses
for billing disputes are less consistent than other
categories—this might indicate a training gap."

Common Tasks

Train New Reps

Scenario: Your top closer’s techniques need to scale across the team.

What to do:

1. "Create a mind for Mike, our top sales rep"
2. "Upload his sales call transcripts from the last quarter"
3. "Generate 10 common objections and show how Mike
handles each one"
4. Share results with new reps for study

Result: New reps learn from your best performer 24/7.


Tips for Success

📊

Upload Quality Data

  • 30-50 conversations minimum
  • Recent transcripts (last 6 months)
  • Clean, clear speaker attribution
  • Diverse scenarios represented
🎯

Be Specific in Scenarios

  • Include emotional context
  • Mention specific constraints
  • Provide relevant background
  • State desired outcomes
🔄

Iterate and Refine

  • Run multiple scenarios
  • Look for patterns in responses
  • Check confidence scores
  • Update with new data quarterly

Troubleshooting

Mind Reasoner Tools Not Available

Solution:

  1. Verify server is registered: claude mcp list
  2. Restart Claude Desktop or Claude Code
  3. Ask: “What MCP tools do you have access to?”

Authentication Errors

Solution:

  • Double-check API key in Mind Reasoner dashboard
  • Ensure format: Bearer YOUR_KEY (note the space)
  • Try generating a new API key

Snapshot Processing is Slow

Normal times:

  • Small files (< 1 MB): 3-5 minutes
  • Medium files (1-10 MB): 5-15 minutes
  • Large files (10-50 MB): 15-30 minutes

If slower:

  • Check the snapshot status for errors
  • Verify file uploaded successfully
  • Check Mind Reasoner dashboard

What’s Next?

🧠

Learn Core Concepts

Understand Minds, Snapshots, and Simulations: Core Concepts

📖

See More Examples

Explore real-world applications: Workflow Examples

🔧

Technical Details

Deep dive into MCP tools: Tools Reference

Need Help?

Questions? Check the Installation Guide for detailed setup instructions or email support@mindreasoner.com.