Ebenova Scope Guard - AI Contract Scope Violation Detector
@dgtalquantumleap-ai
About Ebenova Scope Guard - AI Contract Scope Violation Detector
AI-powered contract scope violation detector. Paste contract + client message, get violation type, severity, 3 professional response drafts, and change order pricing. Zero API competitors.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"ebenova-scope-guard": {
"command": "npx",
"args": [
"-y",
"@ebenova/scope-guard-mcp"
],
"env": {
"EBENOVA_API_KEY": "<YOUR_API_KEY>"
}
}
}
}Tools
No tools detected
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Overview
What is Ebenova Scope Guard - AI Contract Scope Violation Detector?
It is one of three first-party MCP servers within the Signova platform, purpose-built for detecting scope creep in contracts and generating change orders. It exposes its tools to AI agents (e.g., Claude Desktop, Cursor) via the Model Context Protocol.
How to use Ebenova Scope Guard - AI Contract Scope Violation Detector?
Install the server (it ships with its own package.json, server.json, and Dockerfile) and connect an AI agent to it using the Model Context Protocol. The server publishes independently to npm, the MCP registry, Smithery, and Glama.
Key features of Ebenova Scope Guard - AI Contract Scope Violation Detector
- Scope-creep detection in contracts
- Change-order generation
- AI‑powered by Anthropic Claude
- Published as a standalone MCP server
Use cases of Ebenova Scope Guard - AI Contract Scope Violation Detector
- An AI agent reviews a drafted contract and flags potential scope violations before signing.
- A project manager’s AI assistant automatically generates a change order when project scope shifts.
FAQ from Ebenova Scope Guard - AI Contract Scope Violation Detector
What runtime does the server require?
Node.js 20+ with ESM support, matching the platform’s local development prerequisites.
Is the Scope Guard server free to use?
No — the README references a “Scope Guard Pro” checkout and lists it as an activated commercial feature, implying paid usage.
Which AI model drives its analysis?
The platform uses Anthropic Claude as its primary AI model for document generation and scope analysis.
How can AI agents connect to this MCP server?
They connect via the Model Context Protocol, using the server’s published npm package, Docker image, or registry entry.
Where does scope‑related data persist?
The server uses the same backend infrastructure as the rest of Signova (Upstash Redis for state and API keys, with Anthropic Claude handling analysis).
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