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stratoforce-ai-llc avatar

StratoForce AI Revenue Intelligence

stratoforce-ai-llc/stratoforce-mcp-server

Connects Salesforce revenue data to any MCP client through 15 tools that let you query pipeline health, drill into deal details, scan for risks like stale opportunities or dark champions, and generate AI briefings for sales calls. You get read-only resources for pipeline summaries and alerts, plus pre-built prompts for weekly reviews and MEDDIC coaching. Runs locally via Node.js and Salesforce CLI, authenticating against your org where the StratoForce managed package is installed. Useful when you want to ask Claude or your IDE about forecast gaps, at-risk deals, or what you need to know before a customer call without leaving your workflow.

last updated
Feb 26, 2026
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Readme

StratoForce AI — MCP Server

Revenue intelligence from your Salesforce pipeline, accessible to any AI assistant.

What It Does

Connects your Salesforce revenue data to any MCP-compatible AI client — Claude Desktop, VS Code, Cursor, Windsurf, and more. Ask natural-language questions about your pipeline and get real answers from real data.

Capabilities

Resources (read-only data)

ResourceURIDescription
Pipeline Summarystratoforce://pipeline/summaryOpen deals by stage with totals
Top Dealsstratoforce://pipeline/top-dealsTop 15 opportunities by value
Active Alertsstratoforce://alerts/activeRevenue intelligence alerts (last 7 days)

Tools (LLM-invokable functions)

ToolDescription
get_pipeline_healthComprehensive pipeline health: stages, velocity, win rate, stale deals
get_deal_detailsDeep dive on any opportunity: contacts, conversations, scores
generate_briefingAI pre-call briefing: stakeholders, competitive intel, talking points
scan_risksPipeline risk scan: stale deals, past-due close dates, dark champions
search_dealsSearch deals by name, account, stage, or owner

Prompts (pre-built templates)

PromptDescription
pipeline_reviewWeekly pipeline review for sales meetings
deal_coachingDeal-specific coaching with MEDDIC analysis
forecast_prepForecast call preparation briefing

Setup

Prerequisites

  • Node.js 20+
  • Salesforce CLI (sf) with an authenticated org
  • StratoForce AI managed package installed in your Salesforce org

Install

cd stratoforce-mcp-server
npm install

Configure Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "stratoforce": {
      "command": "node",
      "args": ["/path/to/stratoforce-mcp-server/index.js"],
      "env": {
        "SF_TARGET_ORG": "stratoforce-dev"
      }
    }
  }
}

Test

echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0.0"}}}' | node index.js

Example Conversations

"How's my pipeline looking?" → Uses get_pipeline_health → Returns stage breakdown, win rate, stale deals, forecast

"Generate a briefing for the Acme deal" → Uses search_deals → finds Acme → Uses generate_briefing → Full pre-call prep

"What deals are at risk?" → Uses scan_risks → Returns stale deals, past-due close dates, score drops

"Run the pipeline_review prompt" → Executes full pipeline review combining all tools → Executive summary

Architecture

AI Client (Claude/VS Code/Cursor)
    ↕ MCP Protocol (JSON-RPC over stdio)
StratoForce MCP Server (Node.js)
    ↕ Salesforce REST API + Apex REST
StratoForce Managed Package (data layer)

License

MIT — StratoForce AI, LLC

Details

Repository
github.com/stratoforce-ai-llc/stratoforce-mcp-server
Categories
Sales & Marketing, Automation & Workflows, Finance & Commerce
Transport
HTTP
Registry
MCP registry, active

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