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StratoForce AI Revenue Intelligence

StratoForce AI Revenue Intelligence

Remote
github.com/Stratoforce-AI-LLCBusiness & Marketing0Updated 30w ago
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About StratoForce AI Revenue Intelligence

StratoForce AI Revenue Intelligence is an MCP server for sales teams using Salesforce. It exposes pipeline data, deal analysis, risk scans, and sales prompts to compatible AI clients through stdio.

Key features

  1. 01Pipeline and top-deal resources
  2. 02Pipeline health and deal lookup tools
  3. 03Pre-call briefing generation
  4. 04Risk scans for deals
  5. 05Search by deal, account, stage, or owner
  6. 06Sales review and coaching prompts

Use cases

  1. 01Reviewing pipeline health before a sales meeting
  2. 02Preparing a briefing before a deal call
  3. 03Finding stale or overdue opportunities
  4. 04Generating deal coaching with MEDDIC analysis

MCP support

The server exposes read-only pipeline resources, invokable revenue tools, and prebuilt prompts to MCP-compatible clients over JSON-RPC on stdio. It connects to Salesforce REST API and Apex REST through the StratoForce managed package.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://stratoforce-mcp.stratoforce.workers.dev/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project 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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.