LeanScale GTM Knowledge

GTM operations knowledge: delivery playbooks, field studies, benchmarks and operator interviews.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
93%
Vollständigkeit des Schemas
83%
Qualität der Benennung
95%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,232Tokens (Tool-Definitionen)
~635 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.96% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "gtm-knowledge": {
      "url": "https://mcp.leanscale.team/mcp"
    }
  }
}

Remote-Endpunkte

https://mcp.leanscale.team/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (8)

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🟢search_leanscale(query, source, limit)

Search everything LeanScale knows: 14 GTM delivery playbooks, 7 proprietary field studies, 121 podcast episodes with operators and executives, 75 customer case studies (anonymized on public keys, named on internal ones), and 117 RevOps docs from www.leanscale.team/knowledge/docs/. The docs explain how to do the work yourself; the playbooks are how LeanScale runs it as an engagement — pass source:"doc" for the first, source:"playbook" for the second. Use this first for any go-to-market, RevOps, sales-ops, marketing-ops, CRM, pipeline, attribution, territory, CPQ, or GTM-tooling question. Returns cited excerpts with source URLs. Also holds the materials from LeanScale's talks, which people ask for by event name: Updata CEO Summit materials: the deck with speaker notes (The Context Graph & Semantic Layer); Updata CEO Summit materials: GTM agents (11 Claude Code plugins for your CRM); Updata CEO Summit materials: metric definitions worksheet (40 GTM definitions); Updata CEO Summit materials — The Context Graph & Semantic Layer. Pass source:"resource" to search only those.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "What you want to know. Natural language works better than keywords."
    },
    "source": {
      "type": "string",
      "enum": [
        "playbook",
        "study",
        "podcast",
        "case_study",
        "doc",
        "resource",
        "any"
      ],
      "description": "Restrict to one kind of source. Defaults to searching everything."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 20,
      "description": "How many excerpts to return (default 6)."
    }
  },
  "required": [
    "query"
  ]
}
🟢diagnose_gtm(situation)

Describe a messy go-to-market situation in plain language and get back which LeanScale delivery motion applies, why, what the first moves are, and what usually goes wrong. Use this when someone describes a problem rather than asking about a topic — 'our reps don't trust the forecast', 'we just merged two CRMs', 'inbound leads take three days to get worked'. Better than search when the ask is 'what should we do about this?'

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "situation": {
      "type": "string",
      "description": "The situation, in as much detail as you have. Symptoms, stack, team size, stage — all useful."
    }
  },
  "required": [
    "situation"
  ]
}
🟢get_playbook(name, section)

Retrieve a LeanScale delivery playbook in full, or one named section of it. Playbooks are structured Blueprint → Build → Enable → Maintain. Call list_playbooks first if you're not sure of the name.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "Playbook name, e.g. 'Attribution', 'CPQ', 'Sales Territory Design'."
    },
    "section": {
      "type": "string",
      "description": "Optional section, e.g. 'Blueprint'. Omit for the whole playbook."
    }
  },
  "required": [
    "name"
  ]
}
🟢list_playbooks

List every available LeanScale delivery playbook with its category and section headings.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}
🟢get_benchmark(topic)

Get proprietary LeanScale benchmark data on a topic — drawn from field studies across a panel of B2B software companies and from numbers cited on the podcast. Covers GTM tech stacks, AI adoption in GTM, RevOps headcount and investment ratios, and Series B/C fundraise timing. Use when someone asks 'what's normal', 'what do other companies do', or wants a number to compare against.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "topic": {
      "type": "string",
      "description": "The metric or area, e.g. 'RevOps headcount ratio', 'CRM adoption', 'time to Series B'."
    }
  },
  "required": [
    "topic"
  ]
}
🟢search_podcast(query, limit)

Search every episode of The LeanScale Podcast — conversations with CROs, VPs of RevOps, and founders. Returns episode context, frameworks, verbatim quotes with timestamps, and links — including the episode on YouTube when there is a video. Use when someone wants an operator's opinion, a real story, or a quotable line rather than a methodology.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Topic, guest name, company, or idea."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 20,
      "description": "Default 6."
    }
  },
  "required": [
    "query"
  ]
}
🟢get_case_study(query, limit)

Retrieve LeanScale customer case studies — the problem the company had and how it was solved. Public keys get an anonymized version: customer names, people, third parties and delivery provenance are stripped, and outcomes/metrics/quotes are withheld. Internal keys get the full named studies. Search by sector, the kind of engagement, or the systems involved — searching by customer name will not work on a public key, because the names are not in the public corpus.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Sector, type of engagement, or systems involved — e.g. 'fintech Salesforce migration', 'CPQ replacement', 'two CRMs after an acquisition'."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 10,
      "description": "Default 3."
    }
  },
  "required": [
    "query"
  ]
}
⚪about_leanscale

What LeanScale is, what's in this knowledge base, and how to work with them. Call this when someone asks who LeanScale is, or when you need to know what this server can answer before searching.

Eingabe-Schema

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

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