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Vera MCP Server

answering

Vera is answering right now. Last checked 5 min ago. It exposes 16 tools.

Scrape, search and extract the public web. 3,000 free credits at https://vera.waggle.ae/signup

Uptime history 6 days of history
6 days agonow
100.0%
Uptime 24h
91 of 91 checks
16
Tools
read from the server
194 ms
Response time
average over 24h
open, no key
Access
streamable-http

What changed 13

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 21 October 2026. No other catalogue keeps this.

23 Oct 2 tool descriptions were rewritten ai_answers, scrape
23 Oct a tool changed the parameters it asks for scrape
21 Oct 8 tools appeared ai_answers, company_serp_footprint, extract_local_places and 5 more
21 Oct a tool description was rewritten extract_products
21 Oct a tool changed version

Nothing serious here today

Today is the operative word: we check Vera every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 5 min ago.

run in your terminal
claude mcp add vera --transport http https://vera.waggle.ae/v1/mcp
Settings → Connectors → Add custom connector, then paste this address
https://vera.waggle.ae/v1/mcp
~/.codex/config.toml
[mcp_servers.vera]
url = "https://vera.waggle.ae/v1/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "vera": {
      "url": "https://vera.waggle.ae/v1/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "vera": {
      "type": "http",
      "url": "https://vera.waggle.ae/v1/mcp"
    }
  }
}

Available tools 16

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

extract
extract_contacts
Read one public page and return the contact details it publishes: email addresses, phone numbers, social profile links and links to contact pages, each with where it was found. Published details are not verified, and linked pages are not followed (call this tool again for one). Costs 1 credit; a failed call costs nothing.
extract_local_places
Extract Google Local Pack (3-pack) and Google Places listings for local queries. Returns place_id/cid, title, rating, review count, address, latitude/longitude, category, phone, and website. The most the call can cost is held first and you are charged for what it returns; a call that fails costs nothing.
extract_products
Read one public product page and return the product data it publishes in its structured markup: name, brand, SKU or GTIN, and offers with price, currency and availability. Prices are what the page states, never guessed. Set marketplace to amazon, walmart or shopee for those product pages; these parsers are best-effort and large marketplaces often block automated requests. Costs 1 credit; a failed call costs nothing.
extract_shopping_results
Extract Google Shopping carousel listings for e-commerce and product queries. Returns product title, price, currency, merchant, rating, reviews, image URL, link, and product ID. The most the call can cost is held first and you are charged for what it returns; a call that fails costs nothing.
company
company_profile
Given a company's domain, read its homepage and up to 3 standard pages (about, contact, team) and return a profile: name, description, logo, address, founding date, emails, phones and social links, as the company publishes them. Costs 1 credit for each page read, at most 5 credits (that many are held while it runs and the unused ones are given back); a failed call costs nothing.
company_serp_footprint
Audit a company's SERP digital footprint, brand reputation, owned domains, and entity profiles. Separates owned web properties, social/entity profiles (Wikipedia, LinkedIn, Instagram, Crunchbase), Google Maps locations, third-party mentions, and customer brand questions (PAA). The most the call can cost is held first and you are charged for what it returns; a call that fails costs nothing.
answers
ai_answers
Put a buyer's question to an AI assistant that searches the live web, and see whether a brand and its competitors are named in the answer, in what rank, with the citations and cited domains behind it. The assistant is ChatGPT unless `engine` names claude, perplexity or gemini; an assistant the server has no key for answers not_configured and costs nothing. `samples` (1 to 5, default 1) asks the same question more than once, for a mention rate. Returns metrics per assistant, not the raw answers. Charged per call to the assistant at the price list in credits (see llms.txt), the same as POST /v1/ai/answers: the worst case is held first, only the calls made are charged, and a call where the assistant failed is charged nothing. Gemini, when it searches Google, is a base price plus a price for each distinct search query it runs (the model decides how many; up to 10 a call are held for, and a call is only made when that worst case fits in what is held): you are charged for the queries that ran. The most the call can cost is held first and you are charged for what it returns; a call that fails costs nothing.
discussion
find_discussion_candidates
Search Google and filter organic results (positions 1-100) specifically for community discussions and forum threads (Reddit, Quora, HackerNews, StackExchange, niche forums). Ideal for sentiment analysis, user discussions, and customer problem discovery. The most the call can cost is held first and you are charged for what it returns; a call that fails costs nothing.
geo
geo_citation_radar
Run GEO Citation & Injection Radar for a topic query and brand. Calculates citation probability score (0-100), identifies high-impact Reddit/Quora threads with injection playbooks, extracts listicle PR outreach targets with Vera contacts payload, discovers AEO question gaps from PAA, and produces an LLM-ready markdown injection brief. The most the call can cost is held first and you are charged for what it returns; a call that fails costs nothing.
google
google_serp
Execute a full Google SERP search query with strict Google provenance (depth 10 to 100). Returns verified Google organic results with classification tagging (forums, video, ecommerce) and the results page's features (AI Overview, PAA, Knowledge Graph). The local pack and shopping are add-ons: set local_pack and/or shopping to true to include them. A result searched in the last 24 hours is served from the cache at a lower price; set fresh to true to search live. The most the call can cost is held first and you are charged for what it returns; a call that fails costs nothing.
keyword
keyword_ideas
Keyword ideas for a seed keyword from Google autocomplete (the seed plus question words or the alphabet), People Also Ask and related searches, cleaned and de-duplicated. Each idea carries its sources and an intent label (question, comparison, commercial, local, informational). Works in Arabic. Ideas only: no search volumes. Charged for the results page (7 credits live, 1 from your cache) plus 7 credits for each autocomplete call that returns suggestions, so at most 14 credits for expand 'none', 70 for 'questions' (the default), 196 for 'alphabet' (210 for an Arabic seed) and 217 for 'all'; it stops early once `limit` ideas are found, which is 12. Set fresh to true to search the results page live; autocomplete is always live. The most the call can cost is held first and you are charged for what it returns; a call that fails costs nothing.
scrape
scrape
Read one public web page and return its content: the main text (as Markdown with response_format="markdown"), links, metadata and a quality score, plus the raw HTML if you ask (return_html). Set render=true for pages that build their content with JavaScript, or mode="auto" to render only when a plain fetch comes back empty. extract pulls named fields out with CSS selectors. Costs 1 credit for a plain fetch and 5 credits when the page is rendered; with return_html a plain fetch costs 1 credit for each started 400 KB of HTML returned, at most 5. A failed call costs nothing. Pages that disallow automated access or need a login cannot be read.
search
search
Search Google and return the results: titles, URLs and snippets, plus Google's own answer boxes, People Also Ask and related searches when it shows them. vertical picks web (the default), news or videos. Returns up to 100 results per call (10 by default), with country and language. Costs 7 credits per call whatever the vertical or limit; a failed search costs nothing. Results are links and snippets: use scrape to read a page.
seo
seo_audit
Audit one public page's technical SEO and how ready it is for AI search: title, description, canonical, robots and indexing directives, headings, links, images, structured data and a score. Costs 1 credit, or 5 credits with render=true (audited after its JavaScript runs); a failed call costs nothing.
sitemap
sitemap
Read a site's sitemap.xml (or a sitemap index) and return the page addresses it lists, up to limit (100 by default), optionally only those containing some text. Costs 1 credit; a failed call costs nothing.
youtube
youtube_transcript
Return the transcript of one public YouTube video as text. Costs 6 credits per started minute of video (a 10-minute video costs 60), up to 45 minutes. A video that cannot be transcribed, or any failure, costs nothing.

Endpoints

URLTransportStateLatencyChecked
https://vera.waggle.ae/v1/mcp streamable-http answering 219 ms 5 min ago

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Vera — questions

Answers built from our own checks of this server.

What can Vera do?
It exposes 16 tools, read directly from the server on our last check. Among them: ai_answers, company_profile, company_serp_footprint, extract_contacts, extract_local_places, extract_products and 10 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is Vera mostly used for?
Its tools cluster around extract and company. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Vera working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 194 ms. The bar chart above shows every period we have measured.
How do I connect Vera?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Vera need an API key?
No. Vera completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 16 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Vera?
It answers our handshake in 194 ms on average, which is faster than 80% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.