Fact-check claims against independent sources β fast verdict or deep multi-step investigation.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Fact-check claims against independent sources β from any MCP client.
Website Β· Get an API key Β· Developer docs
One-click install (OAuth β no API key needed).
Lenz is a fact-checking platform. It takes a factual claim, runs it through a multi-model pipeline (framing β research β debate β panel review β conclusion) against independent sources, and returns a verdict with a confidence level. This is the official remote MCP server β a hosted Model Context Protocol endpoint that exposes Lenz's fact-checking as tools your AI assistant can call.
It verifies claims against the open web, independent of whatever context your model was given β so it complements retrieval/groundedness checkers rather than replacing them.
https://lenz.io/mcp. Nothing to run locally.Authorization: Bearer lenz_β¦).| Tool | What it does |
|---|---|
assess_claim | Fast verdict (~10s) via a 3-model panel. The default for checking a claim. Returns one verdict per atomic claim (True / Mostly True / Mixed / Mostly False / False) plus bucketed confidence. |
verify_claim | Deep, multi-step investigation (~90s: research β debate β panel review) for high-stakes claims. Returns a task_id immediately; poll it with get_verification. Costs an order of magnitude more credits than assess_claim β reserve it. Pass depth: "low" for a shallower, faster research pass (fewer sources, same models) at half the credits. |
get_verification | Retrieve or poll a verify_claim result by task_id. Returns processing, needs_input, or completed (verdict, summary, top sources, and the depth the verdict was produced at). |
select_claims | Resolve a needs_input verification β when a verify_claim turns up multiple claims or an ambiguity, pick which claim text(s) to run. |
ask_followup | Ask a grounded follow-up about a completed verify_claim (by its verification_id) β answered from the full research, debate, and panel review, not just the summary. Costs credits at the cheap rate, same as assess_claim. |
check_usage | Your remaining credits, the per-tool price list (costs, plus cost_options for prices that depend on a parameter such as depth), and your current plan. |
Verdicts are directional, not absolute β confidence is returned as bucketed language with a caveat, not a raw score. Surface it, and the link back to Lenz, to the user.
Two ways to connect, depending on your client:
Authorization header.Claude (web, desktop and mobile): Lenz is an official Claude connector. Open the Lenz connector page and click Connect to Claude, or in the app: Settings β Extensions β Browse extensions, search for Lenz and click +. Either way it is a one-time OAuth sign-in with nothing to configure, and one account covers all three.
For any other client that supports OAuth for MCP, add the server with just its URL and no headers:
The first time you use it, your client walks you through a one-time sign-in: you authenticate on Lenz's own screen and authorize the connection β no key is stored in your config. Your assistant then fact-checks on your behalf against your Lenz account's credits. You can revoke the connection at any time; see the privacy policy.
1. Get a free API key at lenz.io/api-credentials
(format lenz_β¦).
2. Add the server to your client (examples below). Authenticate with
Authorization: Bearer <your-key>.
.mcp.jsonOne click: use the Add Lenz to Cursor button above β it adds the server and signs you in via OAuth (no key to paste).
Manual: Settings β MCP β Add new MCP server β type HTTP, URL
https://lenz.io/mcp, and add a header Authorization: Bearer <your-key>. (Or drop the
JSON above into .cursor/mcp.json.)
One click: use the Install in VS Code button above (OAuth, no key). Manual, with a key:
At this time, ChatGPT connects to Lenz as a custom app through OpenAI's Developer mode β over OAuth, so there is no API key to paste. It is set up on chatgpt.com; the ChatGPT desktop and mobile apps cannot create one.
On a personal account (Plus or Pro). Settings β Plugins β turn on
Developer mode at the bottom β Plugins β Browse plugins β + next to
Search β name it Lenz, URL https://lenz.io/mcp, Authentication OAuth β
tick I understand and want to continue β Create β Sign in with
Lenz β Try in Chat.
In a Business, Enterprise or Edu workspace. An owner or admin publishes it once: Workspace settings β Apps β + Create, confirm Enable developer mode, fill in the same form with OAuth, then Drafts β Publish, set who can use it, and Publish again. Each member then goes to Settings β Plugins β Lenz β Connect and signs in.
A custom app is off by default in every new chat: + and tick Lenz. Naming Lenz in the question is what makes ChatGPT reach for it rather than answer from memory.
You: Is it true that honey never spoils?
The assistant calls
assess_claim("Honey never spoils")and gets back: Mostly True β high confidence. Properly sealed honey can keep effectively indefinitely thanks to its low moisture and acidity; the caveat is contamination or added water. For a sourced deep-dive it can escalate withverify_claim.
Every tool call draws on one pool of credits on your Lenz account. There is no
separate budget per tool: spending on assess_claim reduces what is left for
verify_claim, and vice versa. check_usage returns the balance
(credits_remaining) alongside costs, the live price list β read the weight from
there rather than assuming one.
verify_claim is the expensive path by an order of magnitude; assess_claim and
ask_followup are the cheap ones. verify_claim also takes an optional depth:
"low" runs a shallower research pass β fewer sources, faster, the same models β for
half the credits of the default "standard". That price sits under
cost_options.verify.depth.low on check_usage. You are charged for the depth you
request; the depth on the completed result is the depth the verdict was
produced at, so a "low" request answered from an existing deeper check reads
"standard" β the echo describes the evidence, the charge follows the request.
check_usage also reports assess_remaining and verify_remaining, which are the
SAME balance projected into each tool's own unit β "how many of these could I still
make" β not separate allowances.
Free keys include a monthly allowance that resets each period; grants and top-ups add non-expiring bonus credits on top, spent only once the allowance is gone. See plans at lenz.io/plans.
When you run out, tools return status: "quota_exhausted" with a message and a
manage_url pointing at the plans page. It is not retryable β the balance is spent
until you top up or the monthly allowance resets. An agent should say so plainly rather
than retrying or quietly skipping the check.
status: "rate_limited" is a different thing: a rate limit (today, the per-account daily
extract cap, which costs no credits at all). That one does clear on its own, and the
result carries retry_after_seconds telling you when.
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