SalesBook Beta by MaxedS MCP Connector

Connector Documentation

PitchBook answers “should I invest?” SalesBook answers “should I pilot?” — an MCP connector that lets AI assistants search 200 evidence-graded startups ranked by Fortune 500 sales-readiness.

What it does

SalesBook ranks startups by buyer readiness, not fundability: how credibly a startup could sell into and deploy at a Fortune 500 company. Every profile is AI-generated (v0 corpus), evidence-graded with sources, dates, and confidence labels, and scored against anonymized F500 buyer archetypes.

The connector exposes the registry over Streamable HTTP MCP — no API keys, no accounts, read-only. It works with Claude, ChatGPT, and any MCP-compatible assistant.

Connect

Add this MCP server URL in your assistant’s connector/integration settings:

https://mcp.maxeds.org/mcpStreamable HTTP · no auth required

Transport: Streamable HTTP (stateless, JSON responses). All tools are read-only.

Tools

search_startups

Keyword search across the Top-100 corpus (name, problem, solution). Filter by sector (retail | healthcare). Returns ranked matches with scores.

get_profile

Full evidence-graded profile: identity, problem, solution, stage, team, buyer-fit. Every field carries source, date, and confidence. Attested-only fields read “awaiting founder declaration” until claimed.

get_tombstones

Deal tombstones: dated, sourced public claims of enterprise commercial wins, graded T1 (contract/rollout) → T4 (logo wall). Default confidence is claimed-unverified; F500-confirmed records are marked corroborated.

get_ranking

Top-100 ranking for a sector and period, with per-startup scores, score components, and the methodology version used.

get_methodology

The published ranking methodology: weights, tombstone tier definitions, confidence labels, and honesty guarantees.

Example prompts

Try these once the connector is added:

“Which retail startups are most ready for a Fortune 500 warehouse pilot? Show me the top 5 with their scores.”

“Show me the deal tombstones for Gatik — what enterprise wins are actually claimed, and how are they graded?”

“Rank the top 10 healthcare startups for an academic health system buyer, and explain what the score is made of.”

“What does SalesBook’s methodology weight most heavily, and how are tombstones graded from T1 to T4?”

“Find startups tackling claim denials for health systems, and tell me which ones have the thinnest evidence.”

Honesty notes

AI-generated v0 corpus. Profiles are assembled by AI from public sources, not by the startups themselves. Every field carries its source, date, and confidence.
n=1 buyer archetypes. Rankings are scored against anonymized buyer archetypes (v0) modeled on real F500 buying patterns — a starting lens, not a universal buyer.
Claimed, not verified. Tombstones default to claimed-unverified. Founders can claim and correct profiles; corrections are marked founder-attested.
Thin-evidence tails. Lower-ranked profiles are flagged thinEvidence where public evidence is sparse.

The buyer ontology v0.1

Rankings are scored against a structured buyer ontology — the consistent format for every evaluation. Fourteen fields, each labeled by how it is known:

Factual: identity, team, HQ, ownership status.
Evidenced: problem, solution + visual evidence, stage + proof points, deal tombstones (T1–T4), security & compliance, integrations, deployment model.
Attested: honest differentiator, honest weakness, buyer-context fit (including honest non-fit), pilot data requirements, PoC speed.
Declared: the single categorized ask (design partner, pilot, paying customer, warm intros, capital).

Fields AI cannot verify carry low confidence and wait for founder correction. The ontology is v0.1 — derived from real buyer workflows, not universal yet.

Ranking methodology v0.2.3

Every profile carries two numbers. Readiness (0–100) is what ranks — “should I pilot?” Evidence grade (0–100) is displayed alongside and never mixed in — “how much should I trust it?”

Buyer fit ×30% — analyst score against the sector buying pattern.
Commercial proof ×25% — tombstones weighted by tier (T1=10, T2=5, T3=2, T4=0.5), confidence (corroborated=1.0, medium=0.75, claimed=0.5), and recency (fresh=1.0 down to 3yr+=0.5). Capped, then normalized.
Stage maturity ×15% — mean of stage badge (Early 30 / Growth 55 / Pilot-ready 70 / Established 80 / In-market 85 / Scaling 100) and a VC-backing signal: Series D+/growth ≥$100M = 100, Series C = 85, Series A/B = 70, Seed = 55, angel-only/undisclosed = 40. Unknown financing is excluded, never zeroed.
Pilot mechanics ×15% — data lightness, PoC speed, and a single categorized ask.
Team & trajectory ×10% — growth signal where published.
Evaluation completeness ×5% — the 12 buyer-ontology checks present.

Missing data rule: sparse proof/trajectory scores the corpus median and is labeled median-imputed — never zero, never silently reweighted. Other missing components are excluded with weights renormalized, and the exclusion is recorded. A profile ranks only with 3+ real signals, evidence grade ≥25, and institutional VC backing or a documented exception (profitability, bootstrapped scale, or strategic backing with evidence) — below any of these it is kept in the database unranked, with the reason published.

Machine-readable methodology (JSON)

Inclusion & exclusion criteria

A profile is ranked only if it meets all of these. Otherwise it is kept in the registry, unranked, with the reason published — never silently dropped.

Include: active, standalone startup (not bankrupt, merged, acquired, or a product line); VC-backed or a documented exception; 3+ readiness signals with data; evidence grade ≥25; operating in-market.
Exclude → Historical record: terminal legal events — bankruptcy, merger, acquisition. Kept with evidence, no rank.
Exclude → Status watch: credible reported distress (layoffs, valuation collapse, liability management, founder exits, viability-threatening lawsuits). Claims are always source-attributed (“Per <source>: <claim>”), never asserted in our voice. Visible and searchable with per-source notes; no rank number; returns to ranking only when the reporting is resolved.
Exclude → unranked record: no institutional backing and no documented exception; or below the evidence bar (“thin evidence — unranked pending verification”).

Current Status watch lane (Oct 5 2026): Innovaccer, FinThrive (healthcare); Cooler Screens, Covariant (retail).