MCP server. AI's new map.
Free AI from its limitations
IT pros are struggling to use AI on large, complex software applications — especially those over one million lines of code. The humans aren’t doing anything wrong. As probabilistic technologies, LLMs can’t ‘guess’ their way to the facts they need to understand custom enterprise software.
Give your AI the context it needs
Just like people, AI needs a map to effectively make changes to complex applications. CAST Imaging provides this context by deterministically mapping internal software structures. Using standard MCP, your tool or agent can access precise graphs of all objects, properties, and links—explicit and hidden—across code, data, and frameworks.
Easy access
CAST Imaging on cloud users can simply configure AI to access it via MCP. On-premise users can download the MCP server as a Windows extension or a Docker container.
AI's next step
- Tech debt remediation
- Cloud blockers removal
- Change impact analysis
- Business rules extraction
- Application demystification
- Test data generation at scale
- Re-writing code in another language
- Mainframe application modernization
- Identifying candidates for micro-services
- Object, framework, database replacement
- .NET, Java transformation to AWS, Azure, GCP
How it works
CAST Imaging examines every aspect of an application
Application artifacts undergo semantic analysis of all elements and their interactions
Deterministically generates call graphs
AI Agents access architectural context via MCP Server
The CAST advantage
Our 25-year exclusive dataset unlocks unmatched intelligence about your software
100 billion
lines of code
analyzed [and growing]
50,000
relationship heuristics formulated [to-date]
interactions across 150+ languages, frameworks, & DBs [and counting]
Trusted by first-movers
Proven excellence
