SignsOfAI.Mcp 0.1.1

{
  "inputs": [
    {
      "type": "promptString",
      "id": "SIGNSOFAI_API_ENDPOINT",
      "description": "Base URL of the SignsOfAI API used by the two optional server-backed tools (measure_predictability, check_paraphrase). Defaults to the PeopleWorks-hosted endpoint. The four analysis tools never call it."
    }
  ],
  "servers": {
    "SignsOfAI.Mcp": {
      "type": "stdio",
      "command": "dnx",
      "args": ["SignsOfAI.Mcp@0.1.1", "--yes"],
      "env": {
        "SIGNSOFAI_API_ENDPOINT": "${input:SIGNSOFAI_API_ENDPOINT}"
      }
    }
  }
}
                    
This package contains an MCP Server. The server can be used in VS Code by copying the generated JSON to your VS Code workspace's .vscode/mcp.json settings file.
dotnet tool install --global SignsOfAI.Mcp --version 0.1.1
                    
This package contains a .NET tool you can call from the shell/command line.
dotnet new tool-manifest
                    
if you are setting up this repo
dotnet tool install --local SignsOfAI.Mcp --version 0.1.1
                    
This package contains a .NET tool you can call from the shell/command line.
#tool dotnet:?package=SignsOfAI.Mcp&version=0.1.1
                    
nuke :add-package SignsOfAI.Mcp --version 0.1.1
                    

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

Tool What it does Runs
analyze_ai_writing Score 0–100 + verdict + findings (overused vocabulary, rhetorical crutches, syntactic tells, burstiness), each with a fix 🖥️ offline
check_originality Compares 2+ documents against each other → overlap % + the actual shared passages 🖥️ offline
search_catalog Searches the catalog of AI-writing signs (EN/ES), filter by keyword / language / category 🖥️ offline
extract_distinctive_phrases Distinctive phrases + ready-made exact-phrase web-search links 🖥️ offline
measure_predictability Perplexity — how predictable/generic a model finds the phrasing ☁️ server
check_paraphrase Reworded/translated copies via sentence embeddings (EmbeddingGemma) ☁️ server

The first four run entirely on the machine — the text never leaves it. The last two 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

Product Compatible and additional computed target framework versions.
.NET net10.0 is compatible.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

This package has no dependencies.

Version Downloads Last Updated
0.1.1 0 7/24/2026
0.1.0 0 7/24/2026