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UVM 1.2 MCP for Claude

An MCP (Model Context Protocol) server that gives Claude source-code-level knowledge of UVM 1.2 — the Universal Verification Methodology.

When active, Claude can browse actual UVM source files, trace class hierarchies, read method implementations, and retrieve curated expert insights — enabling answers far beyond what general documentation provides.

UVM 1.2 source code and the pre-built knowledge base are bundled in this repository. No additional downloads or build steps required.


What Claude can do with this MCP

Tool

What it does

search_uvm_source

Regex search across all .sv / .svh files

get_uvm_class

Full class source code

get_uvm_class_hierarchy

Ancestor / descendant tree

list_uvm_class_methods

All methods in a class

get_uvm_method_source

Exact method implementation

list_uvm_classes

Browse all 100+ UVM classes

get_uvm_file

Raw file content with line numbers

list_uvm_files

File tree by subsystem

get_uvm_macro

Macro definition from uvm_macros.svh

semantic_search_uvm

Natural-language search (RAG)

explain_uvm_concept

Deep dive combining source + expert knowledge


Related MCP server: contextflow-mcp

Requirements

  • Python 3.10+

  • ~200 MB free disk space (for the Python virtual environment)

  • No GPU required

  • No external API keys


Installation

1. Clone the repository

git clone https://github.com/YOUR_USERNAME/UVM_MCP.git
cd UVM_MCP

2. Create a virtual environment and install dependencies

python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

The first run will automatically download the all-MiniLM-L6-v2 embedding model (~90 MB).


Configure Claude Code

Add the following to ~/.claude/settings.json (create the file if it doesn't exist):

{
  "mcpServers": {
    "uvm": {
      "command": "/absolute/path/to/UVM_MCP/.venv/bin/python",
      "args": ["/absolute/path/to/UVM_MCP/server.py"]
    }
  }
}

Replace /absolute/path/to/UVM_MCP with the actual path where you cloned the repo.

Example (if cloned to your home directory):

{
  "mcpServers": {
    "uvm": {
      "command": "/Users/yourname/UVM_MCP/.venv/bin/python",
      "args": ["/Users/yourname/UVM_MCP/server.py"]
    }
  }
}

Restart Claude Code after saving.


Verify

After restarting, open a new conversation and run:

/mcp

You should see uvm listed as a connected server.

Then try asking Claude:

"Explain how uvm_driver communicates with the sequencer, and show me the relevant source code."

Claude will automatically call the UVM MCP tools to answer with actual source-level detail.


UVM 1.2 Source

Source: accellera/uvm @ UVM_1_2_RELEASE
License: Apache 2.0

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