siglent-sds-mcp

A Model Context Protocol (MCP) server that lets AI assistants control Siglent oscilloscopes over your local network. Connect Claude to your bench and measure, capture, and configure your scope through natural language.

Overview

This MCP server communicates with Siglent SDS oscilloscopes via SCPI commands over TCP sockets (port 5025). No VISA drivers or NI-MAX installation required — just a network connection to your scope.

Oscilloscope display captured through the screenshot MCP tool.

Natural-language scope control and measurement workflow in the terminal.

Key features:

• 12 tools covering channels, timebase, triggers, measurements, waveform capture, and screenshots
• Auto-connect on startup via environment variable
• Query queue serializes commands automatically — tools can safely run in parallel
• Waveform data returned as voltage/time arrays ready for analysis
• Screenshots captured and converted to PNG for inline display in Claude
• Raw SCPI escape hatch for any command not covered by the built-in tools

Compatibility

Status	Model
Tested	SDS1104X-E
Expected to work	SDS1000X-E series (SDS1202X-E, SDS1204X-E, etc.)
May work	Other Siglent SDS models with SCPI over TCP support

The server uses standard SCPI commands from the SDS1000X-E Programming Guide. Other Siglent models that support the same command set over port 5025 should work with little or no modification.

Quick Start

You need a Siglent oscilloscope accessible on your network (TCP port 5025). Pick one of the three options below and add the config to your .mcp.json (in your project directory, or ~/.claude/.mcp.json for global access).

Replace 192.168.1.126 with your scope's IP address.

Option A: Docker (recommended)

No Node.js installation required. Works on Linux, macOS, and Windows (via WSL2 or Docker Desktop).

{
  "mcpServers": {
    "siglent-sds": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-e", "SIGLENT_IP=192.168.1.126",
        "ghcr.io/magnusjohansson/siglent-sds-mcp:latest"
      ]
    }
  }
}

Option B: npx

Requires Node.js 20+. Downloads and runs the package automatically.

{
  "mcpServers": {
    "siglent-sds": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "siglent-sds-mcp"],
      "env": {
        "SIGLENT_IP": "192.168.1.126"
      }
    }
  }
}

Option C: Clone and build

git clone https://github.com/magnusjohansson/siglent-sds-mcp.git
cd siglent-sds-mcp
npm install
npm run build

{
  "mcpServers": {
    "siglent-sds": {
      "type": "stdio",
      "command": "node",
      "args": ["/path/to/siglent-sds-mcp/build/index.js"],
      "env": {
        "SIGLENT_IP": "192.168.1.126"
      }
    }
  }
}

Replace /path/to/siglent-sds-mcp with the actual path to your clone.

Environment Variables

Variable	Required	Default	Description
SIGLENT_IP	No	—	Oscilloscope IP address for auto-connect on startup
SIGLENT_PORT	No	5025	TCP port (only change if your setup differs)

Auto-Connect Behavior

If SIGLENT_IP is set, the server attempts to connect to the scope immediately after starting. This runs in the background and does not block the MCP server — Claude can start using other tools right away. If the scope is offline or unreachable, the server logs a warning and you can connect manually later using the connect tool.

If SIGLENT_IP is not set, the server starts without a scope connection. Use the connect tool to connect when ready.

Using with Other AI Clients

The Quick Start examples above use Claude Code's .mcp.json format, which includes a "type": "stdio" field. Other AI clients use the same JSON structure but without the "type" field and with different config file locations.

Claude Desktop

Edit claude_desktop_config.json:

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

Docker

{
  "mcpServers": {
    "siglent-sds": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-e", "SIGLENT_IP=192.168.1.126",
        "ghcr.io/magnusjohansson/siglent-sds-mcp:latest"
      ]
    }
  }
}

npx

{
  "mcpServers": {
    "siglent-sds": {
      "command": "npx",
      "args": ["-y", "siglent-sds-mcp"],
      "env": {
        "SIGLENT_IP": "192.168.1.126"
      }
    }
  }
}

Note: You must fully restart Claude Desktop after changing the config file.

Cursor

Edit one of:

• User-level: ~/.cursor/mcp.json (available across all projects)
• Project-level: .cursor/mcp.json (shared with your team via version control)

You can also add servers through the UI: Settings > Cursor Settings > MCP > Add new global MCP server.

Docker

{
  "mcpServers": {
    "siglent-sds": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-e", "SIGLENT_IP=192.168.1.126",
        "ghcr.io/magnusjohansson/siglent-sds-mcp:latest"
      ]
    }
  }
}

npx

{
  "mcpServers": {
    "siglent-sds": {
      "command": "npx",
      "args": ["-y", "siglent-sds-mcp"],
      "env": {
        "SIGLENT_IP": "192.168.1.126"
      }
    }
  }
}

Windsurf

Edit mcp_config.json:

• Windows: %USERPROFILE%\.codeium\windsurf\mcp_config.json
• macOS/Linux: ~/.codeium/windsurf/mcp_config.json

You can also configure servers through the UI: Cascade panel > MCP icon > Manage MCP Servers > View raw config.

Docker

{
  "mcpServers": {
    "siglent-sds": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-e", "SIGLENT_IP=192.168.1.126",
        "ghcr.io/magnusjohansson/siglent-sds-mcp:latest"
      ]
    }
  }
}

npx

{
  "mcpServers": {
    "siglent-sds": {
      "command": "npx",
      "args": ["-y", "siglent-sds-mcp"],
      "env": {
        "SIGLENT_IP": "192.168.1.126"
      }
    }
  }
}

Google Antigravity

Configuration is managed through the IDE's UI:

1. Open the Agent pane on the right side of the workspace
2. Click the ... button at the top
3. Select MCP Servers
4. Click Manage MCP Servers
5. Click View raw config
6. Add the configuration below and save

Docker

{
  "mcpServers": {
    "siglent-sds": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-e", "SIGLENT_IP=192.168.1.126",
        "ghcr.io/magnusjohansson/siglent-sds-mcp:latest"
      ]
    }
  }
}

npx

{
  "mcpServers": {
    "siglent-sds": {
      "command": "npx",
      "args": ["-y", "siglent-sds-mcp"],
      "env": {
        "SIGLENT_IP": "192.168.1.126"
      }
    }
  }
}

Replace 192.168.1.126 with your scope's IP address in all examples above.

ChatGPT Desktop

ChatGPT Desktop only supports remote HTTPS MCP servers (called "connectors"), not local stdio servers. Since this MCP server uses stdio transport, it is not directly compatible with ChatGPT Desktop.

Tools

12 tools across 6 categories. See docs/tools-reference.md for full parameter details.

Category	Tool	Description
Connection	connect	Connect to oscilloscope over TCP
	disconnect	Close the connection
	identify	Query device ID (manufacturer, model, serial, firmware)
Channel	get_channel	Read channel configuration (vdiv, offset, coupling, etc.)
	configure_channel	Set vdiv, offset, coupling, bandwidth limit, trace, probe
Acquisition	get_acquisition_status	Read timebase, sample rate, trigger settings
	configure_acquisition	Set timebase, trigger, run/stop/single
Measurement	measure	Read a measurement (frequency, Vpp, RMS, etc.)
	measure_statistics	Enable/read/reset measurement statistics
Waveform	get_waveform	Download voltage/time data arrays
	screenshot	Capture scope screen as PNG
SCPI	scpi_query / scpi_command	Send arbitrary SCPI commands

Example Conversations

Read a channel configuration

You: What's the current setup on channel 1?

Claude calls get_channel with channel: "C1" and returns the volts/div, offset, coupling, and other settings.

Measure a signal

You: Measure the frequency and peak-to-peak voltage on channel 2.

Claude calls measure twice — once with parameter: "FREQ" and once with parameter: "PKPK" on channel C2 — and reports both values.

Capture and analyze a waveform

You: Download the waveform from channel 1 and tell me what you see.

Claude calls get_waveform on C1, receives voltage/time data, and analyzes the signal shape, frequency, amplitude, and any anomalies.

Take a screenshot

You: Show me what the scope screen looks like right now.

Claude calls screenshot, receives a base64 BMP image, and displays it inline.

Configure the scope for a specific measurement

You: Set up channel 1 for a 3.3V logic signal — DC coupling, 1V/div, trigger on the rising edge at 1.6V.

Claude calls configure_channel (setting vdiv, coupling) and configure_acquisition (setting trigger source, level, slope) in sequence.

Architecture

Claude Code <-- stdio/JSON-RPC --> siglent-sds-mcp <-- TCP/SCPI --> Oscilloscope:5025

• Transport: MCP over stdio (JSON-RPC 2.0)
• Protocol: SCPI commands over raw TCP sockets, newline-terminated
• Query Queue: All SCPI queries are serialized through an internal queue. The oscilloscope processes one command at a time, so even when tools issue parallel requests (via Promise.all), the queue ensures they're sent sequentially.
• Binary Block Parsing: Waveform and screenshot data use IEEE 488.2 definite-length block format (#9XXXXXXXXX + data bytes + \n\n). The connection layer detects and parses these automatically.
• Voltage Reconstruction: Raw ADC codes are converted to voltages: code * (vdiv / 25) - offset, with two's complement handling for signed values.

Development

npm run build       # Compile TypeScript
npm run watch       # Watch mode — recompile on changes
npm run dev         # Build and run
npm run inspector   # Launch with MCP Inspector for debugging

Docker (local build)

Build the image locally:

docker build -t siglent-sds-mcp .

Then use the local image in your .mcp.json:

{
  "mcpServers": {
    "siglent-sds": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-e", "SIGLENT_IP=192.168.1.126",
        "siglent-sds-mcp"
      ]
    }
  }
}

Project Structure

src/
  index.ts              # Entry point, MCP server setup
  connection.ts         # TCP socket manager with query queue
  tools/
    connection.ts       # connect, disconnect, identify
    channel.ts          # get_channel, configure_channel
    acquisition.ts      # configure_acquisition, get_acquisition_status
    measure.ts          # measure, measure_statistics
    waveform.ts         # get_waveform, screenshot
    scpi.ts             # scpi_query, scpi_command

Troubleshooting

"Not connected to oscilloscope"

The scope isn't connected yet. Either set SIGLENT_IP in your .mcp.json env for auto-connect, or use the connect tool manually.

Connection timeout

• Verify the scope's IP address (check the scope's Utility > Interface menu)
• Ensure port 5025 is accessible (try telnet <scope-ip> 5025 from your machine)
• Check that no firewall is blocking the connection
• The scope only accepts one TCP connection at a time — close any other SCPI clients

Query timeout

Some SCPI queries can take a few seconds, especially on slower scope models. The default timeout is 5 seconds. For scpi_query, you can increase the timeout with the timeout_ms parameter.

Docker: can't reach the oscilloscope

By default, Docker containers can reach LAN devices via the bridge network (NAT). If the container can't connect to your scope:

• Verify the scope is reachable from your host: telnet 192.168.1.126 5025
• On Linux, try adding --network host to the Docker args:

  "args": ["run", "--rm", "-i", "--network", "host", "-e", "SIGLENT_IP=192.168.1.126", "ghcr.io/magnusjohansson/siglent-sds-mcp:latest"]
  

  Note: --network host does not work on macOS or Windows Docker Desktop.

Docker: wrong architecture / exec format error

The published image supports linux/amd64 and linux/arm64. Docker should pull the correct one automatically. If you see an exec format error, pull explicitly:

docker pull --platform linux/amd64 ghcr.io/magnusjohansson/siglent-sds-mcp:latest

"CHDR" appears in responses

This shouldn't happen — the server sets CHDR OFF on connect. If you see command headers in responses, try disconnecting and reconnecting.

License

MIT — see LICENSE for details.