Skip to main content
Glama

PicoScope MCP Server

by markuskreitzer
GitHub
Python
  • Apple
  • Linux
OverviewInspectNewEndpointsSchemaRelated ServersReviewsScore
Need Help?View Source CodeReport Issue

PicoScope MCP Server

License: GPL v3 Python 3.11+ FastMCP

A STDIO MCP server that enables LLMs like Claude to interact with PicoScope oscilloscopes for signal acquisition, measurement, and analysis. Built with FastMCP and the official PicoSDK Python bindings.

Features

  • Device Management: Auto-discover and connect to PicoScope devices

  • Channel Configuration: Set voltage ranges, coupling, and offsets

  • Data Acquisition: Block capture and streaming modes

  • Triggering: Simple and advanced trigger configurations

  • Measurements: Frequency, amplitude, rise time, FFT, THD, and more

  • Signal Generation: Control built-in arbitrary waveform generator

  • AI-Native: Designed for natural language control via Claude and other LLMs

Quick Start

# Clone the repository git clone https://github.com/markuskreitzer/picoscope_mcp.git cd picoscope_mcp # Install dependencies (requires uv package manager) uv sync # Run the MCP server uv run picoscope-mcp

The server runs in STDIO mode and is ready to communicate with MCP clients like Claude Desktop.

Installation

Prerequisites

  1. PicoSDK C Libraries (required for hardware operation)

    • Windows: Download from PicoTech Downloads

    • macOS: Download PicoScope software package

    • Linux: Install via package manager:

      # Ubuntu/Debian sudo apt-get install libps5000a libps4000a libps3000a libps2000a

  2. Python 3.11+ with uv package manager

Install Dependencies

# Clone or navigate to the project directory cd picoscope_mcp # Install dependencies uv sync

Usage

Running the Server

uv run picoscope-mcp

The server runs in STDIO mode, communicating via standard input/output for use with MCP-compatible clients.

Using with Claude Desktop

Add this configuration to your Claude Desktop config file:

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

{ "mcpServers": { "picoscope": { "command": "uv", "args": [ "--directory", "/absolute/path/to/picoscope_mcp", "run", "picoscope-mcp" ] } } }

Restart Claude Desktop, and you'll see the PicoScope tools available in the MCP menu.

Testing Without Hardware

The server will run even without PicoScope hardware connected, though device operations will fail until:

  1. PicoSDK C libraries are installed

  2. A PicoScope device is connected

MCP Tools

Discovery & Connection

Tool

Description

list_devices

Find all connected PicoScope devices

connect_device

Connect to a specific device (by serial) or first available

get_device_info

Get details about connected device

disconnect_device

Disconnect from current device

Channel Configuration

Tool

Description

configure_channel

Set channel parameters (range, coupling, offset)

get_channel_config

Query current channel settings

set_timebase

Configure sampling rate (informational)

Triggering

Tool

Description

set_simple_trigger

Configure edge trigger (rising/falling/both)

Data Acquisition

Tool

Description

capture_block

Single snapshot capture with pre/post trigger samples

start_streaming

Begin continuous data capture

stop_streaming

End streaming mode

get_streaming_data

Retrieve latest streaming data

Analysis

Tool

Description

measure_frequency

Calculate signal frequency

measure_amplitude

Measure voltage (pk-pk, RMS, etc.)

measure_rise_time

Edge timing analysis

measure_pulse_width

Pulse characteristics

compute_fft

Frequency domain analysis

get_statistics

Signal statistics (min/max/mean/std)

measure_thd

Total Harmonic Distortion

Advanced

Tool

Description

set_signal_generator

Configure AWG output

stop_signal_generator

Disable signal generator

configure_math_channel

Channel operations (A+B, A-B, etc.)

export_waveform

Save data to file (CSV/JSON/NumPy)

configure_downsampling

Set downsampling mode

Example Usage with Claude

User: "Connect to the first PicoScope and measure the frequency on channel A" Claude calls: 1. list_devices() -> finds available devices 2. connect_device() -> connects to first device 3. configure_channel(channel="A", enabled=true, voltage_range=5.0) -> enables channel A 4. set_simple_trigger(source="A", threshold_mv=0) -> sets auto-trigger 5. capture_block(pre_trigger_samples=1000, post_trigger_samples=1000) -> captures waveform 6. Returns captured data with time and voltage values User can then analyze the returned data for frequency, or request additional captures.

Configuration

Typical Workflow

  1. Connect: connect_device()

  2. Configure Channels: configure_channel() for each channel

  3. Set Trigger: set_simple_trigger()

  4. Capture: capture_block() or start_streaming()

  5. Analyze: Use measurement tools on captured data

Supported Hardware

  • PS5000A Series (primary support)

  • PS2000/3000/4000/6000 Series (planned)

Currently optimized for PS5000A. Other series will require device-specific implementations.

Development

Project Structure

picoscope_mcp/ ├── src/picoscope_mcp/ │ ├── server.py # FastMCP server │ ├── device_manager.py # Device abstraction │ ├── models.py # Data structures │ ├── utils.py # Helper functions │ └── tools/ # MCP tool implementations │ ├── discovery.py │ ├── configuration.py │ ├── acquisition.py │ ├── analysis.py │ └── advanced.py └── tests/ └── test_tools.py

Running Tests

uv run pytest

Adding Support for New Device Series

  1. Update device_manager.py to detect device series

  2. Import appropriate picosdk module (e.g., ps3000a)

  3. Map device-specific constants and API calls

  4. Handle series-specific capabilities

Troubleshooting

"PicoSDK not found" Error

Install PicoSDK C libraries for your platform (see Prerequisites).

"No device connected" Errors

  1. Ensure PicoScope is connected via USB

  2. Check device appears in system (Windows Device Manager, macOS System Information, Linux lsusb)

  3. Verify PicoSDK drivers are installed

  4. Try reconnecting the device

Channel Configuration Fails

  • Check voltage range is supported: 0.02, 0.05, 0.1, 0.2, 0.5, 1, 2, 5, 10, 20V

  • Verify channel exists (A-D for 4-channel models)

Capture Timeout

  • Ensure trigger settings are appropriate for signal

  • Try increasing auto-trigger timeout

  • Check signal is within configured voltage range

Roadmap

  • Phase 1: Foundation - Device discovery, connection, PS5000A support

  • Phase 2: Advanced acquisition - Streaming mode, advanced triggers

  • Phase 3: Multi-device support - PS2000/3000/4000/6000 series

  • Phase 4: Enhanced analysis - Real-time FFT, automated characterization

  • Phase 5: Visualization - Web dashboard for waveform viewing

See PROJECT_PLAN.md for detailed architecture and development plans.

Contributing

Contributions are welcome! This project is in active development.

How to Contribute

  1. Fork the repository

  2. Create a feature branch (git checkout -b feature/amazing-feature)

  3. Commit your changes (git commit -m 'Add amazing feature')

  4. Push to the branch (git push origin feature/amazing-feature)

  5. Open a Pull Request

Development Setup

# Clone your fork git clone https://github.com/YOUR_USERNAME/picoscope_mcp.git cd picoscope_mcp # Install dependencies including dev tools uv sync # Run tests uv run pytest

Areas for Contribution

  • Support for additional PicoScope series (PS2000, PS3000, PS4000, PS6000)

  • Streaming mode implementation

  • Advanced trigger modes (pulse width, window, logic)

  • Additional measurement algorithms

  • Documentation and examples

  • Test coverage

  • Bug reports and fixes

License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.

Note: This license allows commercial use but requires derivative works to remain open source under GPLv3.

Acknowledgments

References

Contact

Deploy Server
-
security - not tested
F
license - not found
-
quality - not tested

How are these scores calculated?

local-only server

The server can only run on the client's local machine because it depends on local resources.

Tools

View all tools

Enables LLMs like Claude to interact with PicoScope oscilloscopes for signal acquisition, measurement, and analysis. Supports device management, data capture, triggering, and signal generation through natural language commands.

  1. Features
    1. Quick Start
      1. Installation
        1. Prerequisites
        2. Install Dependencies
      2. Usage
        1. Running the Server
        2. Using with Claude Desktop
        3. Testing Without Hardware
      3. MCP Tools
        1. Discovery & Connection
        2. Channel Configuration
        3. Triggering
        4. Data Acquisition
        5. Analysis
        6. Advanced
      4. Example Usage with Claude
        1. Configuration
          1. Typical Workflow
          2. Supported Hardware
        2. Development
          1. Project Structure
          2. Running Tests
          3. Adding Support for New Device Series
        3. Troubleshooting
          1. "PicoSDK not found" Error
          2. "No device connected" Errors
          3. Channel Configuration Fails
          4. Capture Timeout
        4. Roadmap
          1. Contributing
            1. How to Contribute
            2. Development Setup
            3. Areas for Contribution
          2. License
            1. Acknowledgments
              1. References
                1. Contact

                  New MCP Servers

                  MCP directory API

                  We provide all the information about MCP servers via our MCP API.

                  curl -X GET 'https://glama.ai/api/mcp/v1/servers/markuskreitzer/picoscope_mcp'

                  If you have feedback or need assistance with the MCP directory API, please join our Discord server