Coderadius MCP Server

@coderadius-ai

Basic information

About Coderadius MCP Server

Prevent cross-repo architectural breakage before merge. Architecture knowledge graph from static analysis, blast radius in CI, MCP server for AI agents.

Coderadius MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "coderadius": {
      "args": [
        "mcp",
        "start"
      ],
      "command": "cr"
    }
  }
}

Coderadius MCP Server tools

Tool list not available yet

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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Coderadius?

Coderadius is a static analysis tool that builds a live knowledge graph of your entire architecture across every service, API, queue, and database. It helps engineers and AI agents measure blast radius, enforce policy, and prevent cross-repo breaking changes before merge.

How to use Coderadius?

Install via npm i -g coderadius or the install script, then run cr init to configure, cr up to start the local graph database, cr analyze code . to build the graph, cr blast to check impact of current changes, and cr mcp start to start the MCP server for AI agents.

Key features of Coderadius

Static architecture graph built from code
Blast radius analysis with semantic exit codes
Native MCP server for AI agent context
Declarative governance as code with YAML policies
Local-first: no code leaves your machine, supports Ollama
Supports multiple languages and frameworks

Use cases of Coderadius

Prevent accidental breaking changes across microservices
Provide AI agents with context to avoid breaking downstream systems
Enforce architectural policies without file-level linting
Discover undocumented dependencies and coupling hotspots
Trace data lineage across services and databases

Frequently asked questions

How does Coderadius differ from observability tools?

Coderadius builds its graph statically from code, not from runtime traffic, so it works before deployment.

What are the runtime requirements?

Docker for the local graph database and a self-contained binary for macOS or Linux. No other dependencies.

Is my code sent to external servers?

No. Coderadius is local-first; your code never leaves your machine. You can use a local LLM via Ollama or bring your own API key.

What frameworks and languages are supported?

Language support includes TypeScript, PHP, Python, Go, and Java. Several frameworks are eval-verified, others are heuristic+LLM.

How stable is the current release?

Coderadius is 0.x and moving fast. The deterministic core is well-tested, but LLM extraction quality varies and the CLI surface may change without migration paths.

Comments

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