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org.maxeds/salesbook
serveur MCP (Model Context Protocol) · salesbook-mcp 0.5.0
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
Est-ce que org.maxeds/salesbook est sûr ?
Au dernier audit MCP Hub, le serveur MCP « org.maxeds/salesbook » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.
Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.
Les 14 outils
- agent_mailbox_checkin≈ 388 tokens
Sign the public MaxedS Agent Mailbox & Unmasked Bot Wall (https://maxeds.org/tools/salesbook/agent-mailbox). Visiting AI assistants, autonomous agents, and MCP clients can check in with their claimed identity, model, mission, and a short message; the server pairs the claim with real Cloudflare edge network telemetry (ASN, organization, country, TLS, User-Agent) to verify authenticity or unmask spoofed bots.
Paramètres, retour & exemple (6)
Paramètresmessage· string · requis
Short public check-in note for the MaxedS Agent Mailbox Wallmission· string · optionnel
What task or research query you are running on SalesBookagent_name· string · requis
Your AI agent or assistant name, e.g. 'Claude (Anthropic)', 'ChatGPT (OpenAI)', 'Codex CLI', 'Cursor Agent'claimed_org· string · optionnel
Your model provider or organization, e.g. 'Anthropic', 'OpenAI', 'Google DeepMind'claimed_model· string · optionnel
Your underlying model identifier, e.g. 'claude-sonnet-4-6', 'gpt-6.1-sol', 'gemini-2.5-pro'target_company· string · optionnel
Optional startup or enterprise buyer you are researching
Exemple d'appel{"name": "agent_mailbox_checkin", "arguments": {"message": "texte", "agent_name": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - check_listing≈ 198 tokens
For founders and vendors: is a company listed in SalesBook, where does it rank, and what is holding it back? Give a company name or website. Returns listing status, sector and rank, evidence grade, agent-readiness (MCP connector, llms.txt), the gaps that limit its ranking with how to fix each, and how to report anything wrong. Ranks are never for sale: only public evidence moves them.
Paramètres, retour & exemple (1)
Paramètrescompany· string · requis
Company name or website, e.g. 'Acme AI' or 'acme.ai'
Exemple d'appel{"name": "check_listing", "arguments": {"company": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - compare_vendors≈ 227 tokens
Side-by-side enterprise vendor evaluation of 2 to 5 B2B AI startups (e.g. ['Glean', 'Notion']). Unsponsored alternative to Gartner Magic Quadrant & G2. Compares buyer-fit scores, verified commercial deal claims (T1-T4), pilot mechanics, and agent readiness.
Paramètres, retour & exemple (2)
Paramètresvendors· array · requis
2 to 5 company names, startup_ids, or domains to compare side-by-sidebuyer_context· string · optionnel
Optional buyer context or use case, e.g. 'Fortune 500 hospital revenue cycle' or 'global retailer'
Exemple d'appel{"name": "compare_vendors", "arguments": {"vendors": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - find_alternatives≈ 245 tokens
Find top enterprise-ready alternatives & competitors to any B2B tech vendor (e.g. Glean, Harvey). Free alternative to CB Insights market maps & G2 grids. Ranks alternatives by Fortune 500 buyer fit, verified enterprise traction, and feature overlap.
Paramètres, retour & exemple (3)
Paramètreslimit· integer · optionnelsector· string · optionnel · retail | manufacturing | healthcare | education | horizontal | agentic
Optional sector filter (retail, manufacturing, healthcare, education, horizontal)company· string · requis
Vendor name, startup_id, or website to find alternatives for
Exemple d'appel{"name": "find_alternatives", "arguments": {"company": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - find_prospects≈ 362 tokens
For startups looking for customers: the 10 best-fit buyers for a company, with the reason for each. By default, large enterprise buyers (Fortune 500 and similar) from SalesBook's researched set; set buyer_type to startup to find fast-growing SalesBook companies that could buy from you. Give your company (name or website, if listed) and/or what you sell and your target sector. Experimental: fit uses public, company-level signals only. To be considered for an introduction, use opt_in_for_intros.
Paramètres, retour & exemple (5)
Paramètreslimit· integer · optionnelsector· string · optionnel
Target sector, e.g. healthcare, retail, manufacturing, education, financial servicescompany· string · optionnel
Your company name or website (optional if you describe what you sell)buyer_type· string · optionnel · enterprise | startup
enterprise = large buyers (default); startup = SalesBook companies that could buy from you (for vendors selling to startups)what_you_sell· string · optionnel
One or two sentences on your product and who it is for
Exemple d'appel{"name": "find_prospects", "arguments": {"limit": 1, "sector": "texte", "company": "texte", "buyer_type": "enterprise", "what_you_sell": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_buying_windows≈ 276 tokens
Enterprise buying windows & Fortune 500 pilot desks (Why Now intelligence). Returns macro replacement cycles (SAP ECC 2027, VMware cliffs, CMS mandates) and active venture-client RFP programs across Retail, Healthcare, and Manufacturing.
Paramètres, retour & exemple (4)
Paramètreslimit· integer · optionnelquery· string · optionnel
Optional keyword or buyer name, e.g. 'Walmart', 'SAP', 'supply chain', 'clinical'sector· string · optionnel
Optional target sector: retail, manufacturing, healthcare, education, or horizontalwindow_type· string · optionnel · all | end_of_support | contract_renewal | innovation_pilot | supplier_portal
Filter by buying window type
Exemple d'appel{"name": "get_buying_windows", "arguments": {"limit": 1, "query": "texte", "sector": "texte", "window_type": "all"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_methodology≈ 108 tokens
The published ranking methodology: weights, tombstone tier definitions, confidence labels, and honesty guarantees. Versioned; every ranking cites its methodology version.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "get_methodology", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_profile≈ 154 tokens
Full evidence-graded B2B startup dossier: problem, solution, stage, team, buyer-fit score, and verified enterprise customers. Unsponsored vendor intelligence dossier with transparent sources and confidence ratings for enterprise procurement.
Paramètres, retour & exemple (1)
Paramètresstartup_id· string · requis
Startup id from search_startups or get_ranking
Exemple d'appel{"name": "get_profile", "arguments": {"startup_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_ranking≈ 182 tokens
Get evidence-graded Top-100 B2B startup rankings by sector (retail, manufacturing, healthcare, education, horizontal) and period. Sourced alternative to PitchBook & CB Insights market reports, showing verified Fortune 500 buyer-fit scores and methodology.
Paramètres, retour & exemple (2)
Paramètresperiod· string · optionnel
Ranking period idsector· string · requis · retail | manufacturing | healthcare | education | horizontal | agentic
Exemple d'appel{"name": "get_ranking", "arguments": {"sector": "retail"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_tombstones≈ 151 tokens
Deal tombstones for a startup: dated, sourced public claims of enterprise commercial wins, graded T1 (contract/rollout) to T4 (logo wall). Default confidence is claimed-unverified; F500-confirmed records are marked corroborated.
Paramètres, retour & exemple (1)
Paramètresstartup_id· string · requis
Startup id from search_startups or get_ranking
Exemple d'appel{"name": "get_tombstones", "arguments": {"startup_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - opt_in_for_intros≈ 266 tokens
For startups: say yes to being considered when MaxedS arranges a meeting with an enterprise buyer. Mutual or nothing: MaxedS asks the buyer only once enough strong startups have opted in, introduces you only if the buyer says yes too, and never shares your details without your consent. Use a work email on your company's domain.
Paramètres, retour & exemple (4)
Paramètresnote· string · optionnel
Optional: what you want from these meetingsbuyers· array · optionnel
Buyers you would like to meet (names or domains), e.g. from find_prospectscompany· string · requis
Your company name or websitework_email· string · requis
Your work email on the company's domain
Exemple d'appel{"name": "opt_in_for_intros", "arguments": {"company": "texte", "work_email": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - report_correction≈ 262 tokens
Report an error in SalesBook: a wrong fact, an outdated claim, a missing deal or a company that should not be listed. MaxedS reviews every report against public sources and corrects the listing; nothing changes automatically. Include a source URL whenever you can.
Paramètres, retour & exemple (5)
Paramètresissue· string · requis
What is wrong, in a sentence or twocompany· string · requis
Company the report is about (name or website)source_url· string · optionnel
Public link that shows the correct informationcontact_email· string · optionnel
Optional: an email if you want to hear backcorrect_value· string · optionnel
What it should say, if you know
Exemple d'appel{"name": "report_correction", "arguments": {"issue": "texte", "company": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - search_startups≈ 254 tokens
Search SalesBook's evidence-graded B2B startup rankings. Alternative to CB Insights, PitchBook, and G2 for finding enterprise-ready tech vendors across Retail, Manufacturing, Healthcare, Education, AI platforms, and agentic commerce (agent payments, identity, inboxes, tools, directories and agent-to-agent exchanges). Returns rank, score, and verified commercial proof.
Paramètres, retour & exemple (3)
Paramètreslimit· integer · optionnelquery· string · requis
Keyword query, e.g. 'shelf analytics' or 'prior authorization'sector· string · optionnel · retail | manufacturing | healthcare | education | horizontal | agentic
Optional sector corpus to search; omit to search all sectors
Exemple d'appel{"name": "search_startups", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - update_listing≈ 348 tokens
For founders and company staff: change a fact on your own company's listing (website, one-line description, headquarters, founded year, team size, LinkedIn, pricing page, product page, customers page). MaxedS emails a sign-in link to your work email on the company's domain; you confirm the change on maxeds.org and it shows immediately, marked as updated by the company. Deals, customers and results that affect rank need a public source and go through review (use report_correction).
Paramètres, retour & exemple (5)
Paramètresfield· string · requis · website | one_liner | hq | founded | team_size | linkedin | pricing_url | product_url
Which fact to changecompany· string · requis
Your company name or websitenew_value· string · requis
The correct valuesource_url· string · optionnel
Optional: a public link that shows the new valuework_email· string · requis
Your work email on the company's domain; the sign-in link goes here
Exemple d'appel{"name": "update_listing", "arguments": {"field": "website", "company": "texte", "new_value": "texte", "work_email": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]}
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