Iris MCP server
io.github.iris-eval/mcp-server·v0.21.0·9 starsStop shipping agents on vibes. Score every agent output for quality, safety, and cost.
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9 stars185 downloads/wk
Reviews
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If you have run it, two minutes of your experience saves the next person an afternoon.
Iris tools
No tool declarations could be read from the package source. They show once the server is installed.
How Iris compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 82/100
- higher than 65% of 4,460 AI and agents servers
- GitHub stars
- 9
- more than 83% of 2,711 AI and agents servers
- Downloads a week
- 185
- more than 73% of 1,538 AI and agents servers with a package
Release history: 9 versions in the registry since 2026-09-08, latest 2026-10-25, typically one every 2 days.
Install Iris in Claude Code, Cursor or VS Code
Runs npx -y @iris-eval/mcp-server on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add mcp-server -- npx -y @iris-eval/mcp-server
What the publisher says
From the Iris repository's README, as published. We do not edit it. Read it on GitHub
Iris — stop shipping agents on vibes
Iris scores every agent run for quality, safety, and cost — on your machine, with no SDK and no account. Most agent projects check quality by running a few remembered prompts and eyeballing the output. Iris replaces that with numbers you can audit: your agent's runs land in a SQLite database on your disk, 21 built-in rules score them deterministically — PII, prompt injection, hallucination markers, cost thresholds, and the agent's own tool calls — free, with no LLM calls, and an optional LLM judge with a hard per-eval cost cap handles the semantic questions. Every rule is inspectable and editable, because a judge you can't audit is just vibes with a number on it. MIT licensed, no telemetry. Nothing leaves your machine unless you set IRISOTELENDPOINT, which exports traces to the collector you name, or enable the LLM judge with your own key.
Requires Node.js 20 or later. Check with node --version.
A failure on screen in 60 seconds
No agent wiring, no config — one command:
npx @iris-eval/mcp-server --demoThis seeds a demo database — a handful of small agents with a week of runs — and serves the dashboard against it at http://localhost:6920 (your browser opens automatically on first run). The dashboard lands on Failures: what failed, worst and newest first. Worth clicking into — a PII leak caught by the safety rules, a flagged prompt-injection attempt, and a failed LLM-judge score with its rationale.
Demo data lives in its own database (demo.db in your Iris home directory — ~/.iris on macOS/Linux, %USERPROFILE%\.iris on Windows) and never mixes with your real traces. Remove all of it with one command:
npx @iris-eval/mcp-server --demo-clearHook up your own agent
First, prove the install works on this machine — it runs offline and opens nothing of yours:
npx @iris-eval/mcp-server --self-test # exit 0 = healthyShortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Iris: common questions
- Is Iris MCP server safe?
- Mostly: it is graded B (82/100). Read the Iris safety report
- How do I install Iris?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Iris need an API key?
- Yes. The registry entry asks for
IRIS_API_KEY,IRIS_ANTHROPIC_API_KEY,IRIS_OPENAI_API_KEY,IRIS_WEBHOOK_SECRET. - Is Iris maintained?
- The last commit was 22 days ago (2026-10-13). The latest release is v0.21.0.
- What can I use instead of Iris?
- Servers from other publishers that do the same job: llmtrim MCP server, Vibe Check MCP server and Image MCP server.
- How does Iris compare with other AI and agents MCP servers?
- safety score 82/100 (higher than 65% of 4,460 AI and agents servers); github stars 9 (more than 83% of 2,711 AI and agents servers); downloads a week 185 (more than 73% of 1,538 AI and agents servers with a package). Full comparison.
Alternatives to Iris
Same job from other publishers: the closest match first, then the best rated.
- llmtrimMCP server and proxy that compresses LLM prompts, tool output, and replies to cut token cost.not reviewedEstablishedA
- Vibe CheckMetacognitive AI agent oversight: adaptive CPI interrupts for alignment, reflection and safetynot reviewedEstablishedB
- ImageAI image generation and editing with prompt optimization and quality presetsnot reviewedEstablishedB
- ShellwardAI agent security: 7 MCP tools for injection detection, PII scanning, command safety, DLP.not reviewedEstablishedA
- Claude PromptsReusable prompt templates, multi-step workflow chains, and quality gates for any MCP client.not reviewedEstablishedA