developer-tools

Opentrons

yerbymatey

by yerbymatey

Integrate Opentrons with leading lab automation systems for seamless control of liquid handling robots and laboratory au

Integrates with Opentrons laboratory robots to enable natural language control of protocol upload, run management, hardware operations, and system monitoring for both OT-2 and Flex platforms.

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Supports both OT-2 and Flex platformsNatural language robot controlBuilt-in API documentation browser

best for

  • / Laboratory researchers automating protocols
  • / Developers integrating with Opentrons robots
  • / Lab managers monitoring robot operations

capabilities

  • / Upload and manage laboratory protocols
  • / Start, stop and monitor robot runs
  • / Control robot hardware (homing, lights, basic operations)
  • / Search Opentrons API endpoints and documentation
  • / Monitor robot health and connectivity status
  • / Browse API endpoints by category

what it does

Connects to Opentrons laboratory robots for natural language control of protocols, runs, and hardware operations. Includes comprehensive API documentation tools for developers.

about

Opentrons is a community-built MCP server published by yerbymatey that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate Opentrons with leading lab automation systems for seamless control of liquid handling robots and laboratory au It is categorized under developer tools.

how to install

You can install Opentrons in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Opentrons is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Opentrons MCP Server

A Model Context Protocol (MCP) server for Opentrons robot automation and API documentation. This tool provides both comprehensive API documentation and direct robot control capabilities for Opentrons Flex and OT-2 robots.

Features

API Documentation Tools

  • Search Endpoints: Find API endpoints by functionality, method, or keyword
  • Endpoint Details: Get comprehensive information about specific API endpoints
  • Category Browsing: List endpoints by functional category
  • API Overview: High-level overview of the entire Opentrons HTTP API

Robot Automation Tools

  • Protocol Management: Upload, list, and manage protocol files
  • Run Control: Create runs, start/stop execution, monitor progress
  • Robot Health: Check connectivity and system status
  • Hardware Control: Home robot, control lights, and basic operations

Installation

From npm (recommended)

npm install -g opentrons-mcp

From source

git clone https://github.com/yerbymatey/opentrons-mcp.git
cd opentrons-mcp
npm install

Configuration

Add to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "opentrons": {
      "command": "opentrons-mcp",
      "args": []
    }
  }
}

If installed from source:

{
  "mcpServers": {
    "opentrons": {
      "command": "node",
      "args": ["/path/to/opentrons-mcp/index.js"]
    }
  }
}

Available Tools

Documentation Tools

search_endpoints

Search Opentrons HTTP API endpoints by functionality, method, path, or keyword.

  • query (required): Search term
  • method (optional): Filter by HTTP method (GET, POST, PUT, DELETE, PATCH)
  • tag (optional): Filter by API category
  • include_deprecated (optional): Include deprecated endpoints

get_endpoint_details

Get comprehensive details about a specific API endpoint.

  • method (required): HTTP method
  • path (required): API endpoint path

list_by_category

List all endpoints in a specific functional category.

  • category (required): API category (Health, Control, Protocol Management, etc.)

get_api_overview

Get high-level overview of the Opentrons HTTP API structure and capabilities.

Automation Tools

upload_protocol

Upload a protocol file to an Opentrons robot.

  • robot_ip (required): Robot IP address
  • file_path (required): Path to protocol file (.py or .json)
  • protocol_kind (optional): "standard" or "quick-transfer" (default: "standard")
  • key (optional): Client tracking key
  • run_time_parameters (optional): Runtime parameter values

get_protocols

List all protocols stored on the robot.

  • robot_ip (required): Robot IP address
  • protocol_kind (optional): Filter by protocol type

create_run

Create a new protocol run on the robot.

  • robot_ip (required): Robot IP address
  • protocol_id (required): ID of protocol to run
  • run_time_parameters (optional): Runtime parameter values

control_run

Control run execution (play, pause, stop, resume).

  • robot_ip (required): Robot IP address
  • run_id (required): Run ID to control
  • action (required): "play", "pause", "stop", or "resume-from-recovery"

get_runs

List all runs on the robot.

  • robot_ip (required): Robot IP address

get_run_status

Get detailed status of a specific run.

  • robot_ip (required): Robot IP address
  • run_id (required): Run ID to check

robot_health

Check robot health and connectivity.

  • robot_ip (required): Robot IP address

control_lights

Turn robot lights on or off.

  • robot_ip (required): Robot IP address
  • on (required): true to turn lights on, false to turn off

home_robot

Home robot axes or specific pipette.

  • robot_ip (required): Robot IP address
  • target (optional): "robot" for all axes, "pipette" for specific mount
  • mount (optional): "left" or "right" (required if target is "pipette")

Usage Examples

With Claude Desktop

Opentrons MCP in action Screenshot showing the Opentrons MCP server in action with Claude Desktop after asking for current protocols with opentrons for the Flex, give it the robot ip!

Once configured, you can use natural language to control your robot:

Upload a protocol:

Upload the protocol file at /path/to/my_protocol.py to my robot at 192.168.1.100

Check robot status:

Check if my robot at 192.168.1.100 is healthy and ready

Run a protocol:

List all protocols on my robot, then create and start a run for the latest one

Monitor progress:

Show me the status of run abc123 on my robot

Programmatic Usage

import { Client } from "@modelcontextprotocol/sdk/client/index.js";

// Connect to MCP server
const client = new Client(/* transport */);

// Upload protocol
await client.request({
  method: "tools/call",
  params: {
    name: "upload_protocol",
    arguments: {
      robot_ip: "192.168.1.100",
      file_path: "/path/to/protocol.py",
      protocol_kind: "standard"
    }
  }
});

Requirements

  • Node.js 18+
  • Opentrons robot with HTTP API enabled (port 31950)
  • Network connectivity between client and robot

Robot Setup

Ensure your Opentrons robot is:

  1. Connected to the same network as your client
  2. Running robot software version 7.0.0+
  3. Accessible on port 31950 (default for HTTP API)

You can verify connectivity by visiting http://your-robot-ip:31950/health in a browser.

API Reference

This tool provides access to the complete Opentrons HTTP API, including:

  • Protocol Management: Upload, analyze, and manage protocol files
  • Run Management: Create, control, and monitor protocol runs
  • Hardware Control: Robot movement, homing, lighting, and calibration
  • System Management: Health monitoring, settings, and diagnostics
  • Module Control: Temperature modules, magnetic modules, thermocyclers
  • Data Management: CSV files for runtime parameters

For detailed API documentation, use the search and documentation tools provided by this MCP server.

Troubleshooting

Cannot connect to robot

  • Verify robot IP address is correct
  • Ensure robot is powered on and connected to network
  • Check that port 31950 is accessible
  • Confirm robot software is running

Protocol upload fails

  • Verify file path exists and is readable
  • Ensure protocol file is valid Python (.py) or JSON format
  • Check available disk space on robot
  • Confirm protocol is compatible with robot type (OT-2 vs Flex)

Run execution issues

  • Verify all required labware and modules are attached
  • Check robot calibration status
  • Ensure protocol analysis completed successfully
  • Confirm no hardware errors or conflicts

Contributing

Contributions are welcome! Please feel free to submit issues and pull requests.

License

No license go brazy

Related Projects

FAQ

What is the Opentrons MCP server?
Opentrons is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Opentrons?
This profile displays 51 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.451 reviews
  • Benjamin Malhotra· Dec 28, 2024

    I recommend Opentrons for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Mia Haddad· Dec 28, 2024

    Strong directory entry: Opentrons surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Chaitanya Patil· Dec 20, 2024

    We wired Opentrons into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Mia Sethi· Dec 20, 2024

    Opentrons is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Arjun Agarwal· Dec 16, 2024

    We evaluated Opentrons against two servers with overlapping tools; this profile had the clearer scope statement.

  • Benjamin Khanna· Dec 16, 2024

    Opentrons is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Michael Taylor· Nov 27, 2024

    We evaluated Opentrons against two servers with overlapping tools; this profile had the clearer scope statement.

  • Piyush G· Nov 11, 2024

    Strong directory entry: Opentrons surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Hiroshi Haddad· Nov 11, 2024

    Opentrons is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Evelyn Flores· Nov 7, 2024

    Opentrons is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

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