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.
Revenue intelligence from your Salesforce pipeline, accessible to any AI assistant.
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.
| Resource | URI | Description |
|---|---|---|
| Pipeline Summary | stratoforce://pipeline/summary | Open deals by stage with totals |
| Top Deals | stratoforce://pipeline/top-deals | Top 15 opportunities by value |
| Active Alerts | stratoforce://alerts/active | Revenue intelligence alerts (last 7 days) |
| Tool | Description |
|---|---|
get_pipeline_health | Comprehensive pipeline health: stages, velocity, win rate, stale deals |
get_deal_details | Deep dive on any opportunity: contacts, conversations, scores |
generate_briefing | AI pre-call briefing: stakeholders, competitive intel, talking points |
scan_risks | Pipeline risk scan: stale deals, past-due close dates, dark champions |
search_deals | Search deals by name, account, stage, or owner |
| Prompt | Description |
|---|---|
pipeline_review | Weekly pipeline review for sales meetings |
deal_coaching | Deal-specific coaching with MEDDIC analysis |
forecast_prep | Forecast call preparation briefing |
sf) with an authenticated orgcd stratoforce-mcp-server
npm install
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"
}
}
}
}
echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0.0"}}}' | node index.js
"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
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)
MIT — StratoForce AI, LLC
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