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MCP verified Apache-2.0 Self-run

Onshape Mcp

mcp-altendky-onshape-mcp · by altendky

AI-assisted access to your Onshape CAD documents

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Install

$ agentstack add mcp-altendky-onshape-mcp

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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no reviews yet
1mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Onshape MCP

AI-assisted access to your Onshape CAD documents.

What This Is

Onshape MCP connects your AI assistant to Onshape. You describe what you want in Onshape terms — create a sketch, extrude a part, export an STL — and the AI handles the API calls. This is a helper for people who already know Onshape, not a replacement for CAD skills.

Status

Early development. This is offered for people to try if they're interested — things may not always work as expected, and feedback is appreciated.

Access to the hosted servers is currently limited to a closed testing group. Don't call us, we'll call you.

Getting Started

Local Setup (Claude Desktop, OpenCode, or any MCP client)

This is the recommended path. A local server can read and write files on your machine directly — screenshots, exports, and FeatureScript — instead of passing content through the conversation.

Step 1: Get the server binary

Pick whichever is easier for you:

  • npx (requires Node.js): No separate install

needed — your MCP client runs npx --yes onshape-mcp and it downloads automatically.

  • Pre-built binary: Download from

GitHub Releases and save it somewhere convenient.

Step 2: Configure your MCP client

Tell your MCP client how to launch the server.

Claude Desktop

Add to your Claude Desktop config (claude_desktop_config.json):

Using npx:

{
  "mcpServers": {
    "onshape": {
      "command": "npx",
      "args": ["--yes", "onshape-mcp"]
    }
  }
}

Using the downloaded binary:

{
  "mcpServers": {
    "onshape": {
      "command": "/path/to/onshape-mcp"
    }
  }
}
OpenCode

Add to your opencode.json:

Using npx:

{
  "mcp": {
    "onshape": {
      "type": "local",
      "command": ["npx", "--yes", "onshape-mcp"]
    }
  }
}

Using the downloaded binary:

{
  "mcp": {
    "onshape": {
      "type": "local",
      "command": ["/path/to/onshape-mcp"]
    }
  }
}
Other MCP clients

Any MCP client that supports stdio transport can launch this server. The command is either npx --yes onshape-mcp or the path to the downloaded binary.

Step 3: Try it

Ask your AI assistant to create a new Onshape document with a simple shape. If you haven't authenticated yet, it will give you a URL to open in your browser to log into Onshape and approve access.

Web Setup (Claude.ai or other web MCP clients)

No local installation needed. Add https://onshape.mcp.fstab.net/mcp as a remote MCP server in your client's settings. You'll be prompted to log into Onshape when you first use it.

The web transport has no access to your local filesystem. FeatureScript and other file content passes through the conversation instead of being read from and written to disk, which uses significantly more tokens.

Tips

  • Share document URLs. Paste an Onshape document URL into the conversation

to give the AI context about what you're working with.

  • Use Onshape vocabulary. Say "extrude," "fillet," "sketch on the top

face," etc. The AI has built-in knowledge about Onshape operations.

  • Multiple steps are normal. The AI discovers API endpoints dynamically, so

a single request may involve several steps behind the scenes.

  • Be specific when things go wrong. If the AI takes a wrong turn, try

describing the Onshape operation more precisely.

What You Can Do

  • Browse and explore your Onshape documents
  • Create new documents and parts
  • Build features: sketches, extrudes, revolves, sweeps, fillets, construction

planes

  • Take screenshots of Part Studios from different angles
  • Export parts (STL, STEP, and other formats)
  • Work with FeatureScript — write custom features and debug existing ones

The AI has access to the full Onshape REST API, so anything available through the API is potentially reachable. Results will vary — some operations work more reliably than others at this stage.

Supported Platforms

| Platform | Architecture | | -------- | ------------ | | Linux | x8664, aarch64 | | macOS | x8664, aarch64 (Apple Silicon) | | Windows | x86_64 |

Project Documentation

For development, architecture, and contribution details, see [docs/src/project/](docs/src/project/index.md).

License

Licensed under either of:

  • Apache License, Version 2.0 ([LICENSE-APACHE](LICENSE-APACHE) or

)

  • MIT license ([LICENSE-MIT](LICENSE-MIT) or

)

at your option.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.