MCP.Market

Iris MCP server

by iris-eval·io.github.iris-eval/mcp-server·v0.21.0·9 stars

Stop shipping agents on vibes. Score every agent output for quality, safety, and cost.

B82/100grade B
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B82/100

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Adoption
Growing

9 stars185 downloads/wk

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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.

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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
Add to Cursor

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 --demo

This 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-clear

Hook 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 = healthy

Shortened. 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.

  • llmtrim
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    A
  • Vibe Check
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  • Image
    AI image generation and editing with prompt optimization and quality presets
    B
  • Shellward
    AI agent security: 7 MCP tools for injection detection, PII scanning, command safety, DLP.
    A
  • Claude Prompts
    Reusable prompt templates, multi-step workflow chains, and quality gates for any MCP client.
    A