DVT MCP Server
Compiler-backed tools server for AI-assisted design and verification, grounding agents in real compilation context, architectural insight, and semantic understanding.
DVT MCP Server is a tools server that supports Verilog, SystemVerilog, VHDL, and the e Language, enabling AI agents to understand, modify, and debug real-world design and verification projects efficiently and accurately.
Design and verification languages pose unique challenges for AI agents. While these agents excel at programming with general-purpose languages, they often struggle with domain-specific languages due to limited training data.
Providing agents with real, compiler-backed information is essential for producing valid results in design and verification projects, as it grounds their reasoning in accurate language semantics and facilitates early error detection.
Boosts accurate code generation.
Improves AI agent grounding.
Enhances large-project handling.
Speeds up AI agents.
Lowers token usage.
Enables agent fleets.
Enhances user experience.
DVT MCP Server provides access to essential tools for real-world design and verification projects. By closing the feedback loop on code generation through on-the-fly compilation and precise error reporting, it enables iterative generation, validation, and correction of code.
By leveraging the elaborated design and verification full compilation hierarchy, it helps agents navigate complex projects, understand architectural intent, and accurately locate and reason about code constructs across the codebase.
Avoiding grep-based searches and reducing context overload, the server helps agents focus on relevant information. Precise, context-aware information delivered by tools can speed-up debugging and improve correctness and accuracy.
DVT MCP Server is flexible and integrates seamlessly into existing workflows. It can run directly within DVT IDE to provide live project context to interactive AI assistants, or operate in batch mode to support fleets of agents, enabling scalable, parallel execution for large codebases and automated workflows.
Features
- Incremental compilation for AI-generated code.
- Architectural exploration API/tools (design hierarchy, verification hierarchy, compiled files).
- Semantic exploration API/tools (definitions, usages).
- Support for IDE AI agents (Cursor, GitHub Copilot, Cline, Claude Code, Codex).
- Support for batch mode AI agents and AI-based automation.
- Cross-language capabilities for mixed-language projects.
- Fully compliant with the Model Context Protocol (MCP) standard.
Why choose DVT MCP Server
- Validate AI-generated code.
- Avoid hallucinations and incorrect context grounding.
- Avoid grep-based searches to reduce context overload and token usage.
- Create more efficient and convergent AI workflows.
- Enable automated AI workflows through fleets of agents.
