SignsOfAI MCP

SignsOfAI.Mcp — Model Context Protocol server

Exposes the Signs of AI Writing engine as MCP tools, so Claude Desktop (or any MCP client) can analyze text, compare documents for copying, browse the sign catalog, and — optionally — measure perplexity and find cross-language paraphrases.

Built on the official ModelContextProtocol SDK (stdio transport) and a project reference to SignsOfAI.Core.

Tools

Eight of the ten run entirely on the machine — the text never leaves it. The two marked ☁️ send the text to the SignsOfAI server (their descriptions disclose this); see Server tools.

Install

It's on NuGet as SignsOfAI.Mcp, a .NET tool. You need the .NET 10 SDK; nothing else to build.

# Run it on demand — no install step:
dnx SignsOfAI.Mcp --yes

# …or install the `signsofai-mcp` command once:
dotnet tool install --global SignsOfAI.Mcp

To hack on it instead, run it straight from the repo: dotnet run --project src/SignsOfAI.Mcp.

Claude Desktop

Add one of these to claude_desktop_config.json (Windows: %APPDATA%\Claude\claude_desktop_config.json), then restart Claude Desktop.

{
  "mcpServers": {
    "signs-of-ai": {
      "command": "dnx",
      "args": ["SignsOfAI.Mcp", "--yes"]
    }
  }
}

Or, if you installed the global tool:

{
  "mcpServers": {
    "signs-of-ai": { "command": "signsofai-mcp" }
  }
}

Working from a clone instead? Point it at the built DLL:

{
  "mcpServers": {
    "signs-of-ai": {
      "command": "dotnet",
      "args": ["C:\\path\\to\\SignsofAI\\src\\SignsOfAI.Mcp\\bin\\Release\\net10.0\\SignsOfAI.Mcp.dll"]
    }
  }
}

Server tools (optional)

measure_predictability and check_paraphrase call the SignsOfAI API. By default they use the PeopleWorks-hosted endpoint; override it with the SIGNSOFAI_API_ENDPOINT environment variable:

{
  "mcpServers": {
    "signs-of-ai": {
      "command": "signsofai-mcp",
      "env": { "SIGNSOFAI_API_ENDPOINT": "https://your-server" }
    }
  }
}

Unlike the offline tools, these two send the text off the device to run the model — the same disclosed, opt-in behavior as the web app's Predictability and Paraphrase features. check_paraphrase also needs the embedding feature enabled on the server.

Protocol note

MCP speaks JSON-RPC over stdout, so this server logs everything to stderr — never write to stdout from a tool.

MCP registry

Listed in the official MCP registry under the name below. The registry reads that line out of this README to verify that whoever publishes the registry entry also owns the NuGet package, so don't remove or reword it — publishing would start failing.

mcp-name: io.github.peopleworks/signs-of-ai