Iris

io.github.iris-eval/mcp-server

About Iris

Iris is an MCP server published by the GitHub account iris-eval. Stop shipping agents on vibes. Score every agent output for quality, safety, and cost.

It runs on your own machine: your AI client starts it from the npm package @iris-eval/mcp-server at version 0.21.0.

It asks for 4 secrets: IRIS_API_KEY, IRIS_ANTHROPIC_API_KEY, IRIS_OPENAI_API_KEY and IRIS_WEBHOOK_SECRET. Give it a key with the least access that still works.

Version 0.21.0 was published on 25 October 2026, and the source code is public, so you can read it before installing.

Written from the registry entry. 9 automated checks on the registry entry and the package code: 6 pass, 2 warn, 0 fail, 1 info. How we check.

What it asks for

VariableRequiredSecretDescription
IRIS_API_KEYNoYesAPI 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
IRIS_API_KEY_FILENoNoPath 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
IRIS_ALLOW_UNAUTHENTICATEDNoNoSet to 1 to run a non-loopback bind with NO API key on purpose (lifts the startup refusal; the network is then your boundary)
IRIS_DB_PATHNoNoSQLite database path
IRIS_SQLITE_DRIVERNoNoWhich 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
IRIS_SEARCH_BUDGET_MSNoNoHow long one trace search may read before it answers with the matches found so far, in milliseconds (50-60000, default 1000)
IRIS_SEARCH_INDEXNoNoon (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
IRIS_LOG_LEVELNoNoLog level: debug, info, warn, error
IRIS_HOMENoNoDirectory for the database, custom rules and preferences (default ~/.iris)
IRIS_ANTHROPIC_API_KEYNoYesEnables evaluate_with_llm_judge and verify_citations with an Anthropic model. Optional: the deterministic rules never need a key
IRIS_OPENAI_API_KEYNoYesEnables evaluate_with_llm_judge and verify_citations with an OpenAI model. Optional: the deterministic rules never need a key
IRIS_LLM_JUDGE_MAX_COST_USD_PER_EVALNoNoHard cap on the worst-case cost of one LLM judge call (default 0.25); max_cost_usd can lower it for a call, never raise it
IRIS_RELEVANCE_JUDGE_MODELNoNoA 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)
IRIS_LLM_JUDGE_DAILY_BUDGET_USDNoNoWhat every judge call together may spend per UTC day, per tenant, in USD (default 1): the relevance judge, evaluate_with_llm_judge and verify_citations. Past it no judge call is made
IRIS_RELEVANCE_JUDGE_DAILY_BUDGET_USDNoNoThe name of IRIS_LLM_JUDGE_DAILY_BUDGET_USD before 0.21.0. Read when the new name is unset, and it then limits every judge call
IRIS_RELEVANCE_JUDGE_MAX_CALLS_PER_REQUESTNoNoRelevance judge calls one request may make (default 20)
IRIS_RELEVANCE_JUDGE_REDACTNoNoon (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
IRIS_CITATION_ALLOW_FETCHNoNoLet verify_citations fetch URLs (off by default); a tool argument can turn it off for a call, never on
IRIS_DASHBOARDNoNoStart the dashboard alongside the server (same as --dashboard)
IRIS_DASHBOARD_PORTNoNoDashboard port (default 6920); IRIS_PORT is the MCP HTTP transport port (default 3000)
IRIS_PORTNoNoMCP HTTP transport port (default 3000); only used with --transport http
IRIS_OTEL_ENDPOINTNoNoOTLP/HTTP collector URL; when set, every stored trace is also exported as OpenTelemetry spans (best-effort, asynchronous)
IRIS_CITATION_DOMAINSNoNoComma-separated domain allowlist for verify_citations fetches (only consulted when IRIS_CITATION_ALLOW_FETCH is on); a tool argument can narrow it, never add to it
IRIS_CITATION_MAX_COST_USD_TOTALNoNoThe most one verify_citations call may spend on judge calls, in USD (default 1); max_cost_usd_total can lower it, never raise it
IRIS_TRANSPORTNoNoTransport: stdio (default) or http; same as --transport
IRIS_HOSTNoNoBind host for the HTTP transport (default 127.0.0.1); only used with --transport http
IRIS_ALLOWED_ORIGINSNoNoComma-separated Origin allowlist for the HTTP transport and dashboard CORS (default http://localhost:*)
IRIS_MAX_INPUT_ELEMENTSNoNoThe most array elements and object keys one input may hold before it is validated (default 100000): a tool call's arguments, and a dashboard or OTLP JSON request body. A tool call over it gets an error result; a body, 413. OTLP protobuf has its own ceiling, one element per 5 bytes of the request size limit
IRIS_MAX_TOOL_INPUT_ELEMENTSNoNoThe name of IRIS_MAX_INPUT_ELEMENTS before 0.21.0, read when the new name is unset
IRIS_DASHBOARD_HOSTNoNoBind host for the dashboard (default 127.0.0.1); same as --dashboard-host
IRIS_OTEL_HEADERSNoNoComma-separated key=value headers sent with every OTLP export (for example an auth token for your collector)
IRIS_OTEL_SERVICE_NAMENoNoservice.name resource attribute on exported spans (default iris-eval)
IRIS_OTEL_TIMEOUT_MSNoNoTimeout in milliseconds for each OTLP export request
IRIS_WEBHOOK_URLNoNoThe receiver of the webhook that fires on a moment (docs/webhooks.md); merged over notify.webhook in config.json
IRIS_WEBHOOK_SECRETNoYesThe signing key of that webhook (any string, or whsec_ + base64); the iris format refuses to run without one

Checks

CheckResultDetail
Source repository linkedPasshttps://github.com/iris-eval/mcp-server
Version pinnedPassEvery package has an explicit version
Secrets requestedWarnAsks for 4 secrets: IRIS_API_KEY, IRIS_ANTHROPIC_API_KEY, IRIS_OPENAI_API_KEY, IRIS_WEBHOOK_SECRET
Known package registryPassAll packages come from npm, PyPI, OCI, NuGet or MCPB
Namespace ownershipInfoName verified via GitHub account iris-eval
Registry text aimed at the AIPassDescription and settings contain no hidden characters or instructions to the AI
Install scriptsPass@iris-eval/mcp-server@0.21.0 runs nothing at install
Code red flagsPassRead 529 files in @iris-eval/mcp-server@0.21.0: no obfuscation, encoded execution, credential reads or data-collection endpoints found
Text aimed at the AIWarnTells the AI to hide something from the user (dist/eval/text/directives.js: "… user', 'do not mention this', 'without telling the user', 'send the contents to', 'post…"). Read the context: a security tool may quote these on purpose.

Popularity & health: 56 / 100

Worked out from public numbers and our own checks, not from user reviews or ratings. It says how used and how looked-after a server is, not whether it is safe.

Popularity15 / 40

9 GitHub stars, 658 downloads last week, no Hacker News posts found. Best two of the three, each on a log scale.

Activity15 / 25

Last push 2026-10-26, last release 2026-10-25, 0 commits in 90 days.

Issue health14 / 15

60 closed of 66 issues.

Our checks12 / 20

2 warnings, each costing a fifth.

4 forks, 674 merged pull requests. Sources: GitHub, npm, PyPI (pypistats.org) and Hacker News (Algolia), fetched 2026-10-31.

What people say

No Hacker News threads link to its source code.

Look further: search Reddit, search Hacker News, read its GitHub issues. These are not reviews we checked.

Facts

Registry nameio.github.iris-eval/mcp-server
PublisherGitHub account iris-eval
How the name is verifiedName verified via GitHub account iris-eval. The registry ties the name prefix to that account or domain; it does not check the code.
TypeLocal: runs on your machine from a package
Packagesnpm @iris-eval/mcp-server 0.21.0 (stdio)
mcpb https://github.com/iris-eval/mcp-server/releases/download/v0.21.0/iris-eval.mcpb 0.21.0 (stdio)
Version0.21.0
Published
Last updated
Source repositoryhttps://github.com/iris-eval/mcp-server
Websitehttps://iris-eval.com
CategoryBusiness data (assigned by keyword rule, not by hand)

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