Coderadius MCP Server

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

Local serverstdioPython

What is the 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.

What it actually does

  • Live context for AI agents — A native MCP server lets any agent query data contracts, downstream consumers, and change impact before writing code
  • Governance as code — Declarative YAML policies evaluated against the live architecture graph, not file-level lint: unowned services, deprecated dependencies on exposed APIs, shared-database anti-patterns

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
resolve_service_contextOrient the agent: map a file path, git remote, or repo name to its service, team, and repository.
list_servicesInventory all services with owners, languages, and deployment topology.
get_service_detailsDeep-dive one service: exposed APIs, endpoint counts, deployment units, CI/CD and Docker infrastructure.
get_repository_detailsRepository posture: services, pipelines, Docker images, tool configurations, build tasks, commit liveness.
get_data_contractExact schema (fields and types) of a payload, event, or database table, before modifying it.
analyze_blast_radiusUpstream producers and downstream consumers of a resource (table, channel, endpoint).
evaluate_code_change_impactBlast radius of a proposed change via in-memory topological diff, before committing.
trace_data_lineageFollow a data field across services, brokers, and APIs.
analyze_architecture_gravitySPOFs, shared-database anti-patterns, and coupling hotspots ranked by score.
analyze_agentic_contextAI-tooling adoption per repository: tools, configurations, skills, workflows.

How to install the Coderadius MCP Server

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

Configuration as documented by the project. Restart the client after saving.

Example prompts to try

  • “Use Coderadius to Languages.”
  • “Use Coderadius to resolve service context.”
  • “Use Coderadius to list services.”

Frequently asked questions

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