Get Started in 3 Steps
1. Paste Repository URL
Enter any GitHub repository you want to analyze
2. AI Analysis
Our AI scans and analyzes the codebase
3. Get Results
Receive trust scores and detailed insights
How do you know what software
you can trust?
AI-Powered Intentiv evaluates the trustworthiness of code before you use it.
Point Intentiv at any GitHub repo, public or private, and get the facts on:
Intent Alignment
Does the code actually do what it claims to do?
Code Security
Are there any vulnerabilities or potentially malicious behaviors hiding?
Code Quality
Is the code well structured, documented, and aligned to best practices?
Traditional code scanning tools don't understand the intent of the software.
That's our starting point. How can you evaluate code if you don't understand its intent?
Know Before You Install
Whether you want stay high-level or go deep in the weeds,
Intentiv's Trust Analysis has got you covered.
Trust Score
A comprehensive rating of code trustworthiness
High-Level Summary
What the code does and what you should know about it
Issues Found
Details on issues found during analysis and how to fix them
Check Out Our MCP Catalog
Model Context Protocol (MCP) servers are popping up everywhere. Do you ever wonder, "what does this thing really do"? We've scanned thousands of MCP servers and created a catalog for you. Browse our list or scan a new MCP server.
github-mcp-server ⭐
93
Trust Score
AI-driven GitHub automation and management via natural language.
deep-research
79
Trust Score
Rapid AI-driven research report generation web application.
Our Users
Development Teams
Ensure code quality and security across your entire development pipeline
Enterprises
Maintain security standards and compliance when integrating third-party code
Security Professionals
Identify potential security risks and vulnerabilities in code dependencies
Open Source Contributors
Evaluate the trustworthiness of projects before contributing or using them