A Different Kind of MCP
Why Cortex?
When AI coding tools say "done", no one verifies if it's actually done.
A Tool Specialized in
Coding Hallucination Verification
When AI says "I added a method to UserService class",
Cortex verifies against the actual codebase.
The Uncovered Territory
Verifies factual errors like "Paris is the capital of Germany"
Verifies code-related claims like "I added the function", "I fixed the bug"
Provides academic datasets for hallucination research
When AI says "I modified line 123 in config.py",
Cortex verifies if that file, that line, that code actually changed.
What Others Simply Cannot Do
Cortex is a verification system specialized for coding workflows. It's in a different category altogether.
Code Structure Analysis
When AI claims "I added a method to the class", verifies via AST analysis if that class and method actually exist.
Verify: UserService.calculateTotal() existence
File Change Tracking
When AI says "I modified the file", directly confirms changes in the actual file system. Collects all evidence: Git diff, timestamps, etc.
Evidence: git diff + file hash + timestamp
Line-Level Verification
When AI says "I modified line 123", confirms if exactly that line changed. Catches if a different line was modified.
Claim: line 123 / Actual: line 125
Execution Result Verification
When AI says "I fixed the error", analyzes test execution results to confirm if the error is actually resolved.
Evidence: pytest result PASSED confirmed
AI Tools vs AI Safeguards
Accelerator vs Brake. One makes you go faster, the other prevents wrong directions.
General AI Tools
Feature Extension Tools
Adds new capabilities to AI. Useful, but doesn't tell you when AI fails.
- File system access (read/write)
- Database queries (SQL, NoSQL)
- API integration (GitHub, Slack, etc.)
- Browser automation (Puppeteer)
Problem: AI says "done" even when wrong. Silent Failure.
Cortex (Safeguard)
Coding Hallucination Verification
Verifies if what AI said about code is true. Cross-checks with actual code at file, function, and line level.
- Code structure analysis (AST-based)
- Automatic file change tracking
- Line-level precision verification
- Automatic test result analysis
- Core: Verification against actual codebase
Result: Catches AI immediately when it lies about code.
Cortex is the safeguard for coding workflows. Verifies the area others don't cover - AI's coding claims.
Cortex Core Features
1 Coding Hallucination Verification
A coding-specialized tool that verifies if AI's claims about code are true, against the actual codebase
2 Development Context Persistence
Maintains conversation context with AI even after session ends, enabling continuation in next session
3 Forced Automation
Forces processing at Python level even if AI doesn't load context or save results
4 Local Only
All data stays local only. Your code is never sent externally.
Don't you want to know when AI coding tools lie?
Join the beta program and experience coding hallucination verification.
Apply for Beta