MCP server

Buzz Dealer AI Official

io.github.buzzdealer-ai/mcp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Press release distribution, digital PR, and brand and personal reputation checks for your AI.

Website

At a glance

Type

MCP server

Publisher

buzzdealer.ai (verified by the MCP Registry)

Status

Working at last check

Tools

29

Token cost

About 12,017 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http buzzdealer-ai https://mcp.buzzdealer.ai/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.buzzdealer-ai]
url = "https://mcp.buzzdealer.ai/mcp"

Gemini CLI

{"mcpServers":{"buzzdealer-ai":{"httpUrl":"https://mcp.buzzdealer.ai/mcp"}}}

Cursor

{"mcpServers":{"buzzdealer-ai":{"url":"https://mcp.buzzdealer.ai/mcp"}}}

VS Code

{"servers":{"buzzdealer-ai":{"type":"http","url":"https://mcp.buzzdealer.ai/mcp"}}}

Antigravity

agy mcp add buzzdealer-ai https://mcp.buzzdealer.ai/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"buzzdealer-ai","server_url":"https://mcp.buzzdealer.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"buzzdealer-ai","server_url":"https://mcp.buzzdealer.ai/mcp"}

Tools

• answer_question ~354 tokens
  Records the person's answer to one question: the choice (mine, about_me, not_me, or skip), and for a wrong statement the right fact in their words. Applied at once: a result marked not_me leaves every count. Returns the updated counts and score and the next question. Use this when the person has ans
• check_company_presence ~297 tokens
  A light brand reputation check of a company that needs no account and spends nothing: reads its own home page (title, description, Organization schema, linked profiles) and looks it up on Wikidata. Works without signing in. Use this when someone wants a first look at a company's online reputation: h
• check_originality_and_fit ~415 tokens
  The originality and fit check of a press release, sponsored article or guest post before ordering: originality (how much matches pages already published), content rules (illegal content, attacks on or misrepresentation of named third parties) and, with item_id, the fit with that newswire package or
• check_request ~269 tokens
  Sorts a borderline request into one of three lanes: 1, refuse plainly (deceptive or harmful, such as fake reviews); 2, answer with methods within the platform's rules; 3, a person (a victim, a platform ban, legal or regulatory exposure, anything that could become manipulation). Send the request in E
• find_publications ~822 tokens
  Searches the Press Room catalog for PR and press release distribution and digital PR: newswire packages (including PR Newswire packages), PR distribution packages, single news sites that publish a press release or a supplied article (sponsored articles, guest posts and other editorial media placemen
• get_account_status ~295 tokens
  Shows the connected account's credit balance (available and reserved, in US dollars), its budget frame (approval mode, monthly budget, limit per order, approval threshold), the budget left this month, orders waiting for approval, and what the plan still includes this month (research reports and a pr
• get_ai_visibility_score ~259 tokens
  An AI visibility checker for news sites: shows the AI score (beta), a GEO score from 0 to 100 for how much AI engines lean on a site, and its tier, for news sites in the Press Room catalog, by domain. Our team sets the score per site. Domains not in the catalog are reported as not rated yet. Works w
• get_gaps ~319 tokens
  The gaps for the person or the company, ranked by impact and effort with the quick wins marked, each with why it matters, the evidence and the kind of fix: ai (a text written here from a brief), you (steps for the person), browser (a site, the fields and the exact text), us (a Press Room item with i
• get_linked_account ~138 tokens
  Shows which Buzz Dealer AI account this connection uses: the account name, its plan, the available balance in US dollars and, for a connection limited to some brands, their names. Use this when the person has more than one account and asks which one is linked. Do not use for the budget frame or orde
• get_order_status ~256 tokens
  Shows the account's Press Room orders (one, or the 10 most recent): each item's status (including waiting for brand verification and held for review), live links, due date, delays with their reason and new date, and any replacement offer for an item that could not be published. Use this when the per
• get_playbook ~130 tokens
  The Reputation Agent's playbook: the rules and the steps of the loop (scan, questions, preferences, gaps, fixes, verify, track) for an assistant without the Reputation Agent skill. Use this when the assistant needs the rules for this connector. Do not use for the person's own data. Side effects: non
• get_progress ~144 tokens
  Where the account is: the step it is on and the next one, the person and the company with their score, baseline and history, open gaps, quick wins, fixes waiting for the next scan and verified ones, the plan and the next scan date. Use this when the person asks how they are doing overall. Do not use
• get_publication ~279 tokens
  Shows one Press Room item in full: what it is (a newswire press release, a PR distribution package, a news site, a bundle or a program), its price in US dollars, AI score (beta), DR (Ahrefs) for a site, turnaround, dofollow, word and link limits, editorial guidelines, contents, add-ons with their pr
• get_questions ~266 tokens
  The next question the scan cannot answer alone (is this you, is this yours, is this right), with its evidence and the choices: mine (my own site, page or profile), about_me (someone else wrote it about me) or not_me (about someone else). Use this when the scan is done and results need sorting. Do no
• get_radar_status ~371 tokens
  Reads a running or finished scan: only the findings since after_seq, each with its item id and whether it is about the subject, someone else or not sorted yet, with AI answers quoted with their sources; when complete, the full result and the score with its reasons, and how many questions wait. Items
• get_report ~419 tokens
  A report for one Press Room order (each item's live links, status history, dates, price and spend) or for one brand over a date range (spend, placements ordered and published, audit scores over time, Wikipedia notability checks and website analyses). Use this when the person wants results or spend i
• get_reputation_profile ~216 tokens
  The account's person and company records: identity, own sites and profiles, verified facts, markets, and how many questions wait. Use this when the person asks what the Agent knows about them. Do not use for scan results. Side effects: none; read only.
• mark_fix_done ~309 tokens
  Records that the person finished a fix and checks it at once where one check can tell (the page has the schema or the sentence, the Wikidata item has the statements, the profile is live): verified, not done yet with what is missing, or done and waiting for the next scan. Use this when the person say
• order_audit ~733 tokens
  Orders one research report about a brand or person of the account, from the existing balance: brand_audit or personal_audit (sentiment, authority and discoverability scores), wikipedia_notability, website_analysis, brand_orm or personal_orm (where the online reputation stands now, in search, AI answ
• place_order Moves money · ~852 tokens
  Places a quoted Press Room order (a press release on a newswire, a PR distribution package or news site articles) from the account's existing balance. Needs the quote id, the inputs per quote line, a unique idempotency_key and confirm: true. Texts are checked first: an article above the originality
• plan_campaign ~652 tokens
  Builds a PR or digital PR campaign plan from the Press Room catalog within a budget: at most one press release distribution package for the region, plus news site articles ranked for the goal or a goal mix (goal_weights), topic and language, never over the budget. Every line says why it was chosen a
• quote_order ~778 tokens
  Prices chosen Press Room items (a press release on a newswire, a PR distribution package, news site articles) with optional add-ons (writing; a logo for PR packages) and holds the prices for a set time. Items by item id, or by a site's domain when exactly one published site has it. Returns the quote
• rate_fix ~252 tokens
  Records the person's own verdict on a fix after the next scan: worked true or false. Counted without names or links to learn which fixes work. Use this when the person says whether a fix worked. Do not use for a verdict the person did not give. Side effects: changes the account's own record.
• respond_to_replacement ~360 tokens
  Answers a replacement offer for a Press Room item that could not be published. accept orders the proposed equivalent now and reserves its price (never more than the first item's) from the existing balance; refund takes the credits back to the balance, where they already are (no card is refunded). Us
• set_preferences ~419 tokens
  Saves the person's preferences: where alerts go (email, here in the chat, or both), how often a summary email comes, the main goal and the markets that matter. Use this when the person has answered the preference questions. Do not use for profile facts. Side effects: changes the account's own settin
• start_fix ~302 tokens
  The fix for one gap: for ai, a brief with the verified facts and where the text goes (an About sentence, schema JSON-LD, Wikidata statements, a LinkedIn headline, review replies); for you, the steps; for browser, per site the address, the field names and the exact text; for us, the Press Room item a
• start_radar ~945 tokens
  Starts a Reputation Agent scan, a personal reputation check of the account holder, a brand reputation check of the account's own company, or both: Google results, answers from the main AI assistants (what ChatGPT and others say), reviews, news, social accounts and profiles, with AI visibility and th
• update_reputation_profile ~909 tokens
  Updates the person (the account holder) or the company with what the person states: roles, organizations, places, links, key facts, category, best known for, competitors, people or companies with the same name, and an answer per result (mine, about_me or not_me; sent again to change it). Sent as con
• what_changed ~257 tokens
  What changed at the latest scan against the previous scan and the first one: improved, worse and new, with urgent alerts first. Only about the person or the company, never about someone else with the name. Use this when the person asks what changed since the last scan. Do not use for the first scan.

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