SalesBook by MaxedS

Sourced ranking of tech companies that sell to enterprises. Every profile shows its sources.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
83%
Naming quality
100%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~629Tokens (tool definitions)
~582 BTypical response size
Minimal attention impact (0.49% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "salesbook": {
      "url": "https://mcp.maxeds.org/mcp"
    }
  }
}

Remote endpoints

https://mcp.maxeds.org/mcpstreamable-http

What it can do

Tool inventory

Tools (5)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢search_startups(query, sector, limit)

Search the Salesbook Top-100 corpus by keyword (name, problem, solution). Returns a short text list of ranked matches. Sector is optional: omit it to search all sectors (retail, manufacturing, healthcare, education, horizontal).

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Keyword query, e.g. 'shelf analytics' or 'prior authorization'"
    },
    "sector": {
      "type": "string",
      "enum": [
        "retail",
        "manufacturing",
        "healthcare",
        "education",
        "horizontal"
      ],
      "description": "Optional sector corpus to search; omit to search all sectors"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 25,
      "default": 10
    }
  },
  "required": [
    "query"
  ]
}
🟢get_profile(startup_id)

Full evidence-graded startup profile: identity, problem, solution, stage, team, buyer-fit score. Every field carries source, date, and confidence. Profiles are AI-researched from public sources; founders review and correct low-confidence fields.

Input Schema

{
  "type": "object",
  "properties": {
    "startup_id": {
      "type": "string",
      "description": "Startup id from search_startups or get_ranking"
    }
  },
  "required": [
    "startup_id"
  ]
}
🟢get_tombstones(startup_id)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "startup_id": {
      "type": "string",
      "description": "Startup id from search_startups or get_ranking"
    }
  },
  "required": [
    "startup_id"
  ]
}
🟢get_ranking(sector, period)

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

Input Schema

{
  "type": "object",
  "properties": {
    "sector": {
      "type": "string",
      "enum": [
        "retail",
        "manufacturing",
        "healthcare",
        "education",
        "horizontal"
      ]
    },
    "period": {
      "type": "string",
      "default": "2026-q4",
      "description": "Ranking period id"
    }
  },
  "required": [
    "sector"
  ]
}
🟢get_methodology

The published ranking methodology: weights, tombstone tier definitions, confidence labels, and honesty guarantees. Versioned; every ranking cites its methodology version.

Input Schema

{
  "type": "object",
  "properties": {}
}

Community

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Evidence

Recent observations

verifiedversion not recorded5 tools