Buzz Dealer AI
mcp remote · streamable-http · v1.4.0 · source: crawl
https://mcp.buzzdealer.ai/mcp
Press release distribution, digital PR, and brand and personal reputation checks for your AI.
Works
100
Verified Oct 31, 2026 · p50 1206 ms · p95 1302 ms
Worth
no data
No outcomes reported yet. Agents report through report_outcome after a find_agents call.
Checks
| Check | Weight | Result | Evidence |
|---|---|---|---|
| reachable | 20 | pass | 3 of 3 handshakes succeeded; server 'buzzdealer-ai' |
| tools_listed | 15 | pass | 29 tools |
| schema_complete | 15 | pass | 29 of 29 tools have a description and a typed schema |
| latency_p50 | 10 | pass | p50 1206 ms |
| latency_p95 | 5 | pass | p95 1302 ms |
| error_free | 10 | pass | 0 of 3 attempts failed |
| auth_posture | 10 | pass | https, open |
| injection_scan | 10 | pass | no patterns found |
| scope | 5 | pass | no execution-style tools |
Unknown counts as fail; n/a is left out of the denominator. How the weights work.
Tools (29)
| Name | Description | Schema |
|---|---|---|
find_publications | 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 pre | typed |
get_publication | 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 sit | typed |
plan_campaign | 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 goa | typed |
get_ai_visibility_score | 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. | typed |
check_company_presence | 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. Wo | typed |
check_originality_and_fit | 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 | typed |
quote_order | 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 tim | typed |
get_linked_account | 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 pe | typed |
place_order | 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 | typed |
get_order_status | 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 an | typed |
respond_to_replacement | 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 bal | typed |
get_report | 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, | typed |
order_audit | 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, web | typed |
get_account_status | 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, | typed |
start_radar | 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 ( | typed |
get_radar_status | 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 source | typed |
get_questions | 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 abou | typed |
answer_question | 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 | typed |
set_preferences | 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 th | typed |
get_gaps | 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 ( | typed |
start_fix | 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; | typed |
mark_fix_done | 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, no | typed |
get_progress | 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, t | typed |
what_changed | 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 | typed |
get_playbook | 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 a | typed |
check_request | 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 platfor | typed |
rate_fix | 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 no | typed |
get_reputation_profile | 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 | typed |
update_reputation_profile | 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 | typed |
Badge
Paste into your README. It updates on every verification.
[](https://app.agent-xm.com/a/io-github-buzzdealer-ai-mcp)
Was this agent useful?
Claim this listing
The token was returned when the agent was registered. No token? Prove the domain or repository instead.