What is the Code Radar MCP server for?
The MCP server gives coding agents structured scanner findings, explanations, and scoped repair prompts so generated fixes start from deterministic evidence.
Agent workflow
Radar's MCP security scanner turns local security, dependency, and code-health findings into tools an agent can query before proposing a risky change.
Direct answer
Radar's MCP security scanner turns local security, dependency, and code-health findings into tools an agent can query before proposing a risky change.
The MCP server gives coding agents structured scanner findings, explanations, and scoped repair prompts so generated fixes start from deterministic evidence.
No. MCP exposes scanner-backed context to the agent, but the repository still needs local scans and rescans to prove the fix actually removed the finding.
Use the MCP workflow with Codex, Claude, Cursor, or another MCP client when generated changes need concrete findings instead of broad review prompts.
Paid MCP use is justified when teams repeatedly need full scans, report exports, agent repair context, and CI gates around generated code.
Decision evidence
MCP traffic converts when the page proves the agent receives deterministic scanner context, not vague security advice, and shows how the fix is validated.
Agent workflow proof
Radar MCP turns local scan results into repeatable tools that coding agents can inspect, explain, and repair without inventing their own security review.
radar mcp start
radar prompt . --diff --copy
radar mcp doctorThis page targets MCP code review, MCP security scanner, MCP server for coding agents, and secure AI coding workflows.
Agent sales path
Radar MCP converts findings into structured agent context so repair work starts from deterministic evidence instead of a broad prompt asking the model to review everything.
Product evidence
See finding detail, fix guidance, local scan status, and copyable prompt context for agent review.
Live scan
Selected finding
Request data is interpolated into a query string before execution. This can expose customer data or mutate records.
Example structure, not a customer result. Run the same check on your repository for real evidence.
Agent purchase trigger
MCP traffic converts when the buyer can see the controlled loop: scan first, expose deterministic findings, scope the agent repair, rescan the result, and promote trusted checks to CI.
Run Radar first so the MCP server exposes real project findings instead of asking the coding agent to invent a review from scratch.
Do not connect agents before there is deterministic scan evidence to query.
Give Codex, Claude, Cursor, or another MCP client the exact finding, file context, severity, and remediation path.
Do not let an agent fix unrelated code because the prompt was too broad.
Treat agent output like any other generated code: scan locally, inspect the report, then move trusted findings to CI.
Do not let agent fixes bypass the same review evidence that human changes need.
A paid workflow is justified when agents repeatedly need scan summaries, finding explanations, repair prompts, and CI validation.
Do not pay for agent workflow before the first local scan proves useful findings.
Agents can ask for project summary, top findings, quality gate status, and repair prompts tied to the last scan, making Radar a practical MCP server for coding agents and a coding agent security tool.
Install MCP config for common clients from the CLI.
radar mcp install all
radar mcp doctorUse these answers to separate scanner evidence, agent repair context, rescan proof, and the final merge decision.
The MCP server gives coding agents structured scanner findings, explanations, and scoped repair prompts so generated fixes start from deterministic evidence.
No. MCP exposes scanner-backed context to the agent, but the repository still needs local scans and rescans to prove the fix actually removed the finding.
Use the MCP workflow with Codex, Claude, Cursor, or another MCP client when generated changes need concrete findings instead of broad review prompts.
Paid MCP use is justified when teams repeatedly need full scans, report exports, agent repair context, and CI gates around generated code.