15 AI revenue intelligence tools for Salesforce — pipeline, deals, coaching, competitors.
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io.github.tgomolski-lgtm/revenue-intelligence is an MCP server that 15 AI revenue intelligence tools for Salesforce — pipeline, deals, coaching, competitors. Its tool list has not been published yet over stdio, requires no API key, and scores 62/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"stratoforce": {
"env": {
"SF_TARGET_ORG": "stratoforce-dev"
},
"args": [
"/path/to/stratoforce-mcp-server/index.js"
],
"command": "node"
}
}
}Are you the author?
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Revenue intelligence from your Salesforce pipeline, accessible to any AI assistant.
No automated test available for this server. Check the GitHub README for setup instructions.
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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