Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Check the factual claims in a draft or an answer: a quick verdict, or a deep check with sources.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Works in Claude on the web, desktop and mobile:
https://lenz.io/mcpRun this in your terminal
claude mcp add --transport http fact-check https://lenz.io/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"fact-check": {
"url": "https://lenz.io/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"fact-check": {
"type": "http",
"url": "https://lenz.io/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://lenz.io/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified against the domain lenz.io (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.1.1) reached the registry 32 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Spec Driven Development, Remote Desktop Commander, Starreel
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Turn a script into a finished, downloadable short-drama episode — via MCP or REST.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
https://lenz.io/mcp. Nothing to run locally.Authorization: Bearer lenz_…).| 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.
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.
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 → 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.
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 .
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.
.mcp.json{
"mcpServers": { "lenz": { "type": "http", "url": "https://lenz.io/mcp", "headers": { "Authorization": "Bearer ${LENZ_API_KEY}" } } } }
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.)
One click: use the Install in VS Code button above (OAuth, no key). Manual, with a key:
code --add-mcp '{"name":"lenz","Only the beginning is shown; read the rest in the repo