Hosts the source code repository for the Opentrons MCP server that can be cloned for installation from source.
Supported as a platform for running the MCP server, with specific configuration file paths provided for macOS users.
Serves as the runtime environment for the MCP server, with Node.js 18+ listed as a requirement for running the server.
Provides package management for installing the Opentrons MCP server via the recommended installation method.
Supports protocol files written in Python format (.py) that can be uploaded and executed on Opentrons robots.
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)
From source
Configuration
Add to your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
If installed from source:
Available Tools
Documentation Tools
search_endpoints
Search Opentrons HTTP API endpoints by functionality, method, path, or keyword.
query
(required): Search termmethod
(optional): Filter by HTTP method (GET, POST, PUT, DELETE, PATCH)tag
(optional): Filter by API categoryinclude_deprecated
(optional): Include deprecated endpoints
get_endpoint_details
Get comprehensive details about a specific API endpoint.
method
(required): HTTP methodpath
(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 addressfile_path
(required): Path to protocol file (.py or .json)protocol_kind
(optional): "standard" or "quick-transfer" (default: "standard")key
(optional): Client tracking keyrun_time_parameters
(optional): Runtime parameter values
get_protocols
List all protocols stored on the robot.
robot_ip
(required): Robot IP addressprotocol_kind
(optional): Filter by protocol type
create_run
Create a new protocol run on the robot.
robot_ip
(required): Robot IP addressprotocol_id
(required): ID of protocol to runrun_time_parameters
(optional): Runtime parameter values
control_run
Control run execution (play, pause, stop, resume).
robot_ip
(required): Robot IP addressrun_id
(required): Run ID to controlaction
(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 addressrun_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 addresson
(required): true to turn lights on, false to turn off
home_robot
Home robot axes or specific pipette.
robot_ip
(required): Robot IP addresstarget
(optional): "robot" for all axes, "pipette" for specific mountmount
(optional): "left" or "right" (required if target is "pipette")
Usage Examples
With Claude Desktop
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:
Check robot status:
Run a protocol:
Monitor progress:
Programmatic Usage
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:
- Connected to the same network as your client
- Running robot software version 7.0.0+
- 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
Tools
A server that provides both comprehensive API documentation and direct robot control capabilities for Opentrons Flex and OT-2 robots, enabling users to manage protocols, control runs, and monitor robot health through natural language.
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