Lenz Fact-Check
What it does
Check the factual claims in a draft or an answer: a quick verdict, or a deep check with sources.
- Connects 在云端运行
- Account or key Sign in to the service when you connect (OAuth)
- Category 搜索与 AI 记忆
安装
选择你使用的 AI 应用,然后复制设置。
通过 4/4 项检查 · 你的提问会经过开发者的服务器(lenz.io) · ✓ 命令已检查 2026年11月13日
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude · 约 2 分钟
不需要密钥,不用安装程序 · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加
打开 Claude 的 Connectors 页面
CustomizeConnectors
点击“Add” → “Custom” → “Web”,填写这 2 项
把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue
Name · 名称Lenz Fact-CheckRemote MCP server URL · 地址https://lenz.io/mcp在 Claude 检测到的登录设置页点击 Continue · Authentication 按作者说明选择(Sign in now、Sign in when needed 或 No sign in),然后点击 Add
在聊天中开启
+ConnectorsLenz Fact-Check
试一试
用 Lenz Fact-Check 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 Lenz Fact-Check,或回答中出现 Lenz Fact-Check 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
能否连接 ChatGPT 取决于方案
完整 MCP:网页版 ChatGPT Business、Enterprise 或 Edu · Pro:以读取/获取权限连接,修改数据的工具可能用不了 · Plus:官方文档尚未确认,如果在插件页看到添加自定义 MCP 的选项可以试试 · 仅限网页
在网页版 ChatGPT 打开添加 MCP 的页面
Plugins+Add custom MCP server
填写名称和地址
输入名称,在 Connection 下粘贴地址,勾选风险提示,然后点击 Create as a plugin
Name · 名称Lenz Fact-CheckConnection · 地址https://lenz.io/mcp在聊天中选择 Lenz Fact-Check
开启新聊天,输入前先从插件列表中选择 Lenz Fact-Check
试一试
用 Lenz Fact-Check 告诉我你能帮我做什么,然后做一件给我看✓ 如果 ChatGPT 说正在使用 Lenz Fact-Check,或回答中出现 Lenz Fact-Check 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 OpenAI 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Claude Code · 约 2 分钟
不需要密钥,不用安装程序
打开终端
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
粘贴这条命令并按 Enter
claude mcp add --transport http --scope user fact-check https://lenz.io/mcp在 Claude Code 中输入 /mcp
应能看到 Lenz Fact-Check 在列表中并显示已连接
试一试
用 Lenz Fact-Check 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 Lenz Fact-Check,或回答中出现 Lenz Fact-Check 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor · 约 2 分钟
不需要密钥,不用安装程序
在 Cursor 中以 Agent 模式打开 AI 聊天
试一试
用 Lenz Fact-Check 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 Lenz Fact-Check,或回答中出现 Lenz Fact-Check 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code · 约 2 分钟
不需要密钥,不用安装程序
在 VS Code 中以 Agent 模式打开 AI 聊天
试一试
用 Lenz Fact-Check 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 Lenz Fact-Check,或回答中出现 Lenz Fact-Check 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看
通过网页连接的应用使用的地址
https://lenz.io/mcpJSON 设置在下方“开发者专用”中
开发者专用:终端命令和 JSON 设置
通过网页连接
Claude Code
claude mcp add --transport http --scope user fact-check https://lenz.io/mcpCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"fact-check": {
"url": "https://lenz.io/mcp"
}
}
}VS Code (mcp.json)
{
"servers": {
"fact-check": {
"type": "http",
"url": "https://lenz.io/mcp"
}
}
}这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
一览
哪些应用可以使用它
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
通过互联网连接,适用于
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
它能做什么
服务器要求先登录,才会列出它的工具。
基础检查i
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月14日
- ✓ 通过
作者与仓库一致
注册名称已通过域名 lenz.io 验证(注册中心会核实域名所有权)
- ✓ 通过
仍在维护
代码最后更新于昨天
- – 不适用
有许可证
不适用:由 lenz.io 的所有者自己运行的云端服务器,你不会运行仓库里的代码
- ✓ 通过
端点有响应
在 250 毫秒内响应(HTTP 401)
- ✓ 通过
使用 OAuth 登录
声明支持 OAuth 登录,你的 AI 应用可以带你去登录
- … 尚未检查
工具描述中没有隐藏指令
尚未检查;我们会在检查端点时读取工具列表
讨论
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
用户评价
还没有评价
与“搜索与 AI 记忆”中的其他服务器比较i
- 星标数多于此分类中其他 6117 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 6117 个服务器的 49% 更新
- 基础检查结果等于或优于此分类中其他 6117 个服务器的 100%
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
常见问题
Lenz Fact-Check 安全吗?
它在 4 项适用的基础检查中通过了 4 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
它需要哪些密钥或代码?
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在我的电脑上运行还是在云端?
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
它还在维护吗?
GitHub 仓库最后更新于昨天,最新版本(1.1.1)于39天前进入注册中心。
哪些应用可以使用它?
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,因此也能用于接受远程 MCP 的应用,例如网页版 ChatGPT(Business 及以上为完整 MCP;Pro 为只读)。
有什么可以替代它?
同一分类中有:Context7, Codebase Memory, OpenSEO
同类别的其他选择
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
OpenSEO
Keyword research, site audits, rank tracking and AI visibility for your AI agent.
作者的 README
打开 README
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Lenz Fact-Check
The Lenz MCP server: check the factual claims in a draft or an answer against independent sources, from any MCP client.
Website · Get an API key · Developer docs
One-click install (OAuth — no API key needed).
Lenz is a fact-checking platform. It takes a factual claim, runs it through a multi-model pipeline (reading the claim → research → debate → panel review → conclusion) against independent sources, and returns a verdict with a confidence level. This is the official remote MCP server — 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 — so it complements retrieval/groundedness checkers rather than replacing them.
- Hosted, no install: point your client at
https://lenz.io/mcp. Nothing to run locally. - Auth: OAuth (no key — for clients that support it) or a free Lenz API key (
Authorization: Bearer lenz_…). - Transport: Streamable HTTP, stateless. Supports the 2025-11-25 and 2026-07-28 protocol revisions.
Tools
| Tool | What it does |
|---|---|
| `assess_claim` | The quick check, and the default first step for one claim or a whole text. A 3-model panel returns one row per claim: a verdict (True / Mostly True / Mixed / Mostly False / False, or No Public Record when the reviewers found no public record that would show the claim: unconfirmed, not false), a bucketed confidence and, when available, a short rationale (the reasoning of a reviewer who agrees with the verdict): a reviewer's note, not a checked source. A low-confidence row carries recommend_verify: true and a next_step sentence. A row for a claim found false can also carry a suggested_rewrite (the claim with its wrong part corrected) and a suggested_rewrite_note: it is built from the reviewers' reasoning, not from sources, and is not itself checked, so it is offered as a suggestion, with a deep check of the new sentence on request. A row may also carry searched_pages (title and link): the pages the reviewers looked at, to be offered as pages to look at and never as sources that confirm the verdict; their titles are text from third-party pages. ~15 seconds through an assistant. Pass a text in claim, whole and unedited (Lenz finds the claims in it, up to 20), or use claims for up to 20 claims the user listed separately. |
| `verify_claim` | The deep check: reading the claim → research → debate → panel review → conclusion, for ONE claim. Returns a verdict with a 1-10 score (or No Public Record, with no score, when nothing public records the claim), the key finding, a summary, a suggested rewrite of the claim when it can be corrected (not itself verified), warnings, and the top sources with the quote each one rests on, plus the total source count. A deep check takes ~90 seconds. The call waits for it, for as long as the client allows: in Claude and the ChatGPT app the result usually comes back in the same call; in clients with a shorter tool-call limit (Claude Code, Cursor, VS Code, OpenAI's Responses API) it usually returns status: submitted with a task_id, and get_verification waits for the rest. A completed deep check replaces any earlier quick verdict on the same claim. Costs ten times an assess_claim row, so assistants offer it and run it on the user's yes, or when the user asks for sources. depth: "low" researches fewer sources, with the same models, for half the credits. |
| `get_verification` | Wait for a running verify_claim by task_id, or fetch a completed result by its 8-character verification_id. Returns processing, needs_input, failed, not_found or completed. |
| `select_claims` | Resolve a needs_input verification: when a text holds several claims, choose which claim text(s) to run. |
| `ask_followup` | Ask a grounded follow-up about a completed verify_claim (by its verification_id), answered from the full research, debate and panel review, not just the summary. The answer is markdown, and its links point at the check's own sources; the assistant keeps them as links. Costs the same as one assess_claim row. |
| `list_verifications` | The account's most recent completed deep checks, newest first. Use it to get back a result that finished after the conversation moved on. Read-only and free; quick checks are not stored. |
| `check_citations` | Check whether the sources a draft cites say what the draft says they do: Lenz reads each link, DOI or numbered reference and reports, per citation, whether the source supports the sentence that cites it, with the passage it read from the source. Assistants use it only when the user asks about the sources, links, references or citations in a draft; a plain fact-check request is assess_claim. Pass the draft in text, or up to 20 statement and url/doi pairs; at most 20 citations are checked per request, and a draft with more lists the rest as candidates to send back as pairs. A citation check can take up to two minutes. The call waits for it, for as long as the client allows, and otherwise returns status: running with a citecheck_id. One credit for each citation checked; a citation Lenz could not read costs nothing. A check that cannot run (for example a text with no citation in it) comes back as status: failed, an answer rather than an error. |
| `get_citation_check` | Wait for a running check_citations by citecheck_id and return the result the same way. An optional offset (default 0) re-reads a finished check and returns the next batch of up to 20 draft citations it did not cover, as candidates to send back as pairs, with remaining and next_offset. Read-only; free. |
| `check_usage` | Remaining credits, the per-tool price list (costs, plus cost_options for prices that depend on a parameter such as depth), and the current plan. Never a prerequisite for a check. |
Language. Lenz answers in the language of the text it is given, so pass the claim in the user's own words and language, not translated. The language argument is for a user who explicitly asks for the answer in another language (one of en, es, de, fr, it, pt, nl, sv, da, no, fi, bg); leave it unset otherwise. Verdicts and written results follow the language, and a quick check's reviewer note follows the text the reviewer saw. When it is unset, the connector sends language: "auto" and the API picks the language from the text; a self-hosted connector therefore needs an API that accepts auto.
Prompts. Clients that surface MCP prompts (Claude shows them under +) get two: Check this text with Lenz and Check your last answer with Lenz. Each takes the text to check and starts a quick check. Lenz cannot see the conversation, so Check your last answer needs the answer pasted in.
Verdicts are directional, not absolute: confidence is returned as bucketed
language with a caveat, not a calibrated probability. A quick verdict is a first read;
when a deep check disagrees with it, the deep check is the one to rely on, because it
shows its sources and its reasoning.
The result card
In Claude and the ChatGPT app, a check comes back as a card in the conversation as well as text. From the card you can run the deep check on a claim (Check against sources, a standard-depth verify_claim), open a source, or pick which claims in a draft to check in depth. When a deep check started from the card finishes, the assistant is told the result: silently in Claude, and by a short message in the chat in ChatGPT. Every other client gets the same results as text; nothing depends on the card.
Quickstart
Two ways to connect, depending on your client:
- OAuth — for clients that support it (e.g. Claude connectors). No key to paste; you sign in to Lenz and authorize the connection.
- API key — works with any MCP client via an
Authorizationheader.
Connect with OAuth (no API key)
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 → Extensions → 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:
{
"mcpServers": { "lenz": { "type": "http", "url": "https://lenz.io/mcp" } } }
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 — 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.
Connect with an API key
1. Get a free API key at lenz.io/api-credentials (format lenz_…).
2. Add the server to your client (examples below). Authenticate with Authorization: Bearer .
Claude Code
As a plugin (the connector plus the lenz-fact-check skill; sign in with /mcp on first use):
claude plugin marketplace add lenzhq/lenz-mcp
claude plugin install lenz@lenz
Or the connector alone, with an API key:
claude mcp add --scope user --transport http lenz https://lenz.io/mcp \
--header "Authorization: Bearer ${LENZ_API_KEY}"
--scope user makes Lenz available in every project; without it, Claude Code adds the server only to the directory you run the command in.
Claude Desktop / any client that reads .mcp.json
{
"mcpServers": { "lenz": { "type": "http", "url": "https://lenz.io/mcp", "headers": { "Authorization": "Bearer ${LENZ_API_KEY}" } } } }
Cursor
One click: use the Add Lenz to Cursor button above — it adds the server and signs you in via OAuth (no key to paste).
Manual: Settings → MCP → Add new MCP server → type HTTP, URL https://lenz.io/mcp, and add a header Authorization: Bearer . (Or drop the JSON above into .cursor/mcp.json.)
VS Code
One click: use the Install in VS Code button above (OAuth, no key). Manual, with a key:
code --add-mcp '{"name":"lenz","