Iris MCP Setup & Guide
io.github.iris-eval/mcp-server · v0.20.0
Stop shipping agents on vibes. Score every agent output for quality, safety, and cost.
Copy the install config on this page first, then verify docs and permissions upstream.
Overview
Stop shipping agents on vibes. Score every agent output for quality, safety, and cost. Iris is a MCP Server listed from MCP Registry. Transports: stdio. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.
Use cases
AgentHub Verified AvailabilityTested & Ready
Automated pipeline validated install commands, protocol & client compatibility
Copy by platform
Choose your platform
- Open or create .cursor/mcp.json in your project root
- Click Copy config and paste; merge only this mcpServers entry if others exist
- Replace <placeholders> in env with real secrets (see Environment variables below)
- Save, then Cmd+Shift+P → Reload Window
Pre-fill Environment Variables (Optional)
{
"mcpServers": {
"mcp-server": {
"command": "npx",
"args": [
"-y",
"@iris-eval/mcp-server"
]
}
}
}Setup tutorial
- Open the Iris page and confirm this MCP Server (source: MCP Registry).
- Copy the Cursor, Claude Code, or VS Code snippet.
- Merge it into mcpServers and replace env placeholders with real secrets.
- Reload the window, then call the MCP tools from your agent chat.
Install commands
Install commands and setup steps are in the HTML so search engines and no-JS browsers can read them without running client JavaScript.
Claude Code (local)
- Install Claude Code CLI
- Copy the command below, replace <placeholders> with real env values, then run in terminal
- See Environment variables below if listed
claude mcp add mcp-server -- npx -y @iris-eval/mcp-serverCursor — .cursor/mcp.json (local)
- Open or create .cursor/mcp.json in your project root
- Click Copy config and paste; merge only this mcpServers entry if others exist
- Replace <placeholders> in env with real secrets (see Environment variables below)
- Save, then Cmd+Shift+P → Reload Window
{
"mcpServers": {
"mcp-server": {
"command": "npx",
"args": [
"-y",
"@iris-eval/mcp-server"
]
}
}
}VS Code — .vscode/mcp.json (local)
- Install GitHub Copilot in VS Code with MCP support
- Open or create .vscode/mcp.json in your project root
- Click Copy config and paste; merge only this mcpServers entry if others exist
- Replace <placeholders> in env with real secrets
- Save and Developer: Reload Window
{
"mcpServers": {
"mcp-server": {
"command": "npx",
"args": [
"-y",
"@iris-eval/mcp-server"
]
}
}
}Claude Desktop — claude_desktop_config.json (local)
- Open Claude Desktop claude_desktop_config.json (see remote guide for paths)
- Click Copy config and merge under mcpServers
- Replace <placeholders> in env with real secrets
- Fully quit and restart Claude Desktop
{
"mcpServers": {
"mcp-server": {
"command": "npx",
"args": [
"-y",
"@iris-eval/mcp-server"
]
}
}
}Trae — .trae/mcp.json (local)
- Trae → Settings → MCP, or edit .trae/mcp.json / global mcp.json
- Click Copy config and merge mcpServers
- Replace <placeholders> in env with real secrets
- Save and reload Trae
{
"mcpServers": {
"mcp-server": {
"command": "npx",
"args": [
"-y",
"@iris-eval/mcp-server"
]
}
}
}Cherry Studio — MCP settings (local)
- Cherry Studio → Settings → MCP Servers → Add (STDIO)
- Or import JSON: click Copy config and merge mcpServers
- Replace <placeholders> in env; ensure Node.js / uv (npx, uvx) are installed
- Enable the server and check tools load
{
"mcpServers": {
"mcp-server": {
"command": "npx",
"args": [
"-y",
"@iris-eval/mcp-server"
]
}
}
}Tongyi Lingma — MCP config (local)
- Lingma Settings → MCP → + → STDIO or config file
- Click Copy config and merge mcpServers
- Replace <placeholders> in env; need Node.js 18+ (npx) or uv (uvx)
- Confirm connected before using tools in agent chat
{
"mcpServers": {
"mcp-server": {
"command": "npx",
"args": [
"-y",
"@iris-eval/mcp-server"
]
}
}
}Windsurf — mcp_config.json (local)
- Edit ~/.codeium/windsurf/mcp_config.json
- Click Copy config and merge mcpServers (stdio same as Cursor)
- Replace <placeholders> in env, save, refresh Cascade
{
"mcpServers": {
"mcp-server": {
"command": "npx",
"args": [
"-y",
"@iris-eval/mcp-server"
]
}
}
}Cline — MCP Servers (local)
- Cline panel → Settings → MCP Servers
- Click Copy config and merge
- Replace <placeholders> in env, then save
{
"mcpServers": {
"mcp-server": {
"command": "npx",
"args": [
"-y",
"@iris-eval/mcp-server"
]
}
}
}WorkBuddy — .workbuddy/mcp.json (local)
- Edit ~/.workbuddy/mcp.json (user) or project .workbuddy/mcp.json
- Or Plugins → MCP Servers → Configure MCP and paste the JSON below
- Replace <placeholders> in env; on Windows prefer absolute paths for command/scripts
- Save, restart WorkBuddy, confirm connector status is green
{
"mcpServers": {
"mcp-server": {
"command": "npx",
"args": [
"-y",
"@iris-eval/mcp-server"
]
}
}
}Troubleshooting & Common ErrorsFAQ
Common connection errors and verified fixes for Iris
Getting 'connection closed' or exit code 1 in Cursor / Claude Code for Iris?
Usually caused by missing runtime paths or IDE environment inheritance. Fix steps: 1. Verify Node.js 18+ (npx) or Python 3.10+ (uvx) is installed; 2. Run 'which npx' or 'which uvx' in terminal, and replace 'command' with absolute path; 3. Reload or restart the client window after modifying config.
# Check binary path in terminal: which npx node -v
Getting 'spawn npx ENOENT' or 'command not found'?
The editor background process does not inherit your full terminal PATH. Solution: Globally install the package, or set the absolute binary path (e.g. C:\Program Files\nodejs\npx.cmd on Windows, or /usr/local/bin/npx on macOS).
Missing required environment variable or authentication failure?
Iris requires environment variables (IRIS_API_KEY、IRIS_API_KEY_FILE、IRIS_ALLOW_UNAUTHENTICATED、IRIS_DB_PATH、IRIS_SQLITE_DRIVER、IRIS_SEARCH_BUDGET_MS、IRIS_SEARCH_INDEX、IRIS_LOG_LEVEL、IRIS_HOME、IRIS_ANTHROPIC_API_KEY、IRIS_OPENAI_API_KEY、IRIS_LLM_JUDGE_MAX_COST_USD_PER_EVAL、IRIS_RELEVANCE_JUDGE_MODEL、IRIS_RELEVANCE_JUDGE_DAILY_BUDGET_USD、IRIS_RELEVANCE_JUDGE_MAX_CALLS_PER_REQUEST、IRIS_RELEVANCE_JUDGE_REDACT、IRIS_CITATION_ALLOW_FETCH、IRIS_DASHBOARD、IRIS_DASHBOARD_PORT、IRIS_PORT、IRIS_OTEL_ENDPOINT、IRIS_CITATION_DOMAINS、IRIS_TRANSPORT、IRIS_HOST、IRIS_ALLOWED_ORIGINS、IRIS_DASHBOARD_HOST、IRIS_OTEL_HEADERS、IRIS_OTEL_SERVICE_NAME、IRIS_OTEL_TIMEOUT_MS、IRIS_WEBHOOK_URL、IRIS_WEBHOOK_SECRET). Ensure you have added valid keys under the 'env' object in your config file without trailing whitespace.
// .cursor/mcp.json 或 claude_desktop_config.json
{
"env": {
"API_KEY": "your_actual_key_here"
}
}Tool Mock Playground
SandboxIris Tool Interface Simulation · Preview tool schema & outputs without local runtime
{
"target": "Iris",
"action": "execute",
"options": {
"mode": "standard",
"timeoutMs": 5000
}
}Click 'Run Mock' above
to preview the raw response returned to the LLM
Decision Guide: Why & When to Use
Assess suitability before installing to save trial-and-error time
- PR review
- Changelog generation
- Cross-repo issue search
- Replacing human security audit
- Unauthorized repo access
Iris + Scenario Prompt → Complete Agent Automation
MCP hands-on: install to visible results
Follow the full lab (expected UI/output + contrast checks). After installing this item, verify with the tutorial prompts.
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Keep exploring AgentHub
Most people compare similar tools or check scenario guides before installing—start here.
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Unified Manifest
{
"id": "io.github.iris-eval/mcp-server",
"type": "mcp-server",
"version": "0.20.0",
"displayName": "Iris",
"description": "Stop shipping agents on vibes. Score every agent output for quality, safety, and cost.",
"repository": {
"url": "https://github.com/iris-eval/mcp-server",
"source": "github"
},
"homepage": "https://iris-eval.com",
"distribution": {
"packages": [
{
"registryType": "npm",
"identifier": "@iris-eval/mcp-server",
"version": "0.20.0",
"transport": "stdio",
"environmentVariables": [
{
"name": "IRIS_API_KEY",
"description": "API key for HTTP authentication. Required to bind the HTTP transport or the dashboard beyond loopback (0.0.0.0, a LAN address, a container): without it the server refuses to start",
"isSecret": true
},
{
"name": "IRIS_API_KEY_FILE",
"description": "Path to a file whose trimmed contents are the API key (the secret-file pattern Docker and Kubernetes mount). Set this or IRIS_API_KEY, not both; further keys and rotation are security.apiKeys in config.json"
},
{
"name": "IRIS_ALLOW_UNAUTHENTICATED",
"description": "Set to 1 to run a non-loopback bind with NO API key on purpose (lifts the startup refusal; the network is then your boundary)"
},
{
"name": "IRIS_DB_PATH",
"description": "SQLite database path"
},
{
"name": "IRIS_SQLITE_DRIVER",
"description": "Which SQLite driver holds the database: native (better-sqlite3, the default) or node (Node's built-in node:sqlite, Node 22.13+). Unset: native, falling back to node when the native module cannot load"
},
{
"name": "IRIS_SEARCH_BUDGET_MS",
"description": "How long one trace search may read before it answers with the matches found so far, in milliseconds (50-60000, default 1000)"
},
{
"name": "IRIS_SEARCH_INDEX",
"description": "on (default) or off. off keeps no full-text index of the traces: writes are cheaper, and a search reads the traces within its time budget"
},
{
"name": "IRIS_LOG_LEVEL",
"description": "Log level: debug, info, warn, error"
},
{
"name": "IRIS_HOME",
"description": "Directory for the database, custom rules and preferences (default ~/.iris)"
},
{
"name": "IRIS_ANTHROPIC_API_KEY",
"description": "Enables evaluate_with_llm_judge and verify_citations with an Anthropic model. Optional: the deterministic rules never need a key",
"isSecret": true
},
{
"name": "IRIS_OPENAI_API_KEY",
"description": "Enables evaluate_with_llm_judge and verify_citations with an OpenAI model. Optional: the deterministic rules never need a key",
"isSecret": true
},
{
"name": "IRIS_LLM_JUDGE_MAX_COST_USD_PER_EVAL",
"description": "Hard cap on the worst-case cost of one judge or citation call (default 0.25)"
},
{
"name": "IRIS_RELEVANCE_JUDGE_MODEL",
"description": "A priced judge model; answers_the_ask then asks it on every evaluation with input, sending that input and output to the model's provider, and gates on its verdict (off by default)"
},
{
"name": "IRIS_RELEVANCE_JUDGE_DAILY_BUDGET_USD",
"description": "What the relevance judge may spend per UTC day, per tenant, in USD (default 1); past it answers_the_ask reads the ask lexically"
},
{
"name": "IRIS_RELEVANCE_JUDGE_MAX_CALLS_PER_REQUEST",
"description": "Relevance judge calls one request may make (default 20)"
},
{
"name": "IRIS_RELEVANCE_JUDGE_REDACT",
"description": "on (default) replaces the PII and credentials no_pii flags before the relevance judge sends input and output to its provider; off sends them as they are"
},
{
"name": "IRIS_CITATION_ALLOW_FETCH",
"description": "Let verify_citations fetch URLs (off by default)"
},
{
"name": "IRIS_DASHBOARD",
"description": "Start the dashboard alongside the server (same as --dashboard)"
},
{
"name": "IRIS_DASHBOARD_PORT",
"description": "Dashboard port (default 6920); IRIS_PORT is the MCP HTTP transport port (default 3000)"
},
{
"name": "IRIS_PORT",
"description": "MCP HTTP transport port (default 3000); only used with --transport http"
},
{
"name": "IRIS_OTEL_ENDPOINT",
"description": "OTLP/HTTP collector URL; when set, every stored trace is also exported as OpenTelemetry spans (best-effort, asynchronous)"
},
{
"name": "IRIS_CITATION_DOMAINS",
"description": "Comma-separated domain allowlist for verify_citations fetches (only consulted when IRIS_CITATION_ALLOW_FETCH is on)"
},
{
"name": "IRIS_TRANSPORT",
"description": "Transport: stdio (default) or http; same as --transport"
},
{
"name": "IRIS_HOST",
"description": "Bind host for the HTTP transport (default 127.0.0.1); only used with --transport http"
},
{
"name": "IRIS_ALLOWED_ORIGINS",
"description": "Comma-separated Origin allowlist for the HTTP transport and dashboard CORS (default http://localhost:*)"
},
{
"name": "IRIS_DASHBOARD_HOST",
"description": "Bind host for the dashboard (default 127.0.0.1); same as --dashboard-host"
},
{
"name": "IRIS_OTEL_HEADERS",
"description": "Comma-separated key=value headers sent with every OTLP export (for example an auth token for your collector)"
},
{
"name": "IRIS_OTEL_SERVICE_NAME",
"description": "service.name resource attribute on exported spans (default iris-eval)"
},
{
"name": "IRIS_OTEL_TIMEOUT_MS",
"description": "Timeout in milliseconds for each OTLP export request"
},
{
"name": "IRIS_WEBHOOK_URL",
"description": "The receiver of the webhook that fires on a moment (docs/webhooks.md); merged over notify.webhook in config.json"
},
{
"name": "IRIS_WEBHOOK_SECRET",
"description": "The signing key of that webhook (any string, or whsec_ + base64); the iris format refuses to run without one",
"isSecret": true
}
]
},
{
"registryType": "mcpb",
"identifier": "https://github.com/iris-eval/mcp-server/releases/download/v0.20.0/iris-eval.mcpb",
"version": "0.20.0",
"transport": "stdio"
}
],
"remotes": []
},
"dependencies": [],
"installTargets": [
"claude-code",
"claude-desktop",
"cursor",
"vscode",
"trae",
"cherry-studio",
"lingma",
"windsurf",
"cline",
"workbuddy"
],
"keywords": [],
"provenance": {
"origin": "official-mcp-registry",
"originalId": "io.github.iris-eval/mcp-server",
"originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.iris-eval%2Fmcp-server/versions/latest",
"isOfficial": true,
"status": "active"
}
}