StratoForce AI — MCP Server
MCP serverProductivityOnce this app is added, your AI can answer questions about your Salesforce pipeline, deals, coaching, and competitors. It provides 15 AI revenue intelligence tools built for Salesforce. You get sales answers in a plain conversation instead of searching Salesforce yourself.
Available today. Use it from your connected AI after setup.
No other account needed.
Add the app, then ask your AI a question about your pipeline or a specific deal to see it in action.
Then ask your AI: use StratoForce AI — MCP Server
What your AI can do with it
- Review your Salesforce sales pipeline
- Look up details on individual deals
- Surface coaching insights from your Salesforce data
- Find competitor information stored in Salesforce
From the project's README
As published by stratoforce-ai-llc/stratoforce-mcp-server in README.md.
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)
| 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) |
Tools (LLM-invokable functions)
| 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 |
Prompts (pre-built templates)
| Prompt | Description |
|---|---|
pipeline_review | Weekly pipeline review for sales meetings |
deal_coaching | Deal-specific coaching with MEDDIC analysis |
forecast_prep | Forecast 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
Signals
- Last commit
- May 2026
ahel review
S4low
published under tgomolski's namespace; repository belongs to stratoforce-ai-llc
Automated review, not a security audit. Ruleset v1.
Advanced
- Delivery
- revenue-intelligence MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
- Catalog kind
- mcp-server
- Gateway key
io-github-tgomolski-lgtm-revenue-intelligence- Source
- github.com/stratoforce-ai-llc/stratoforce-mcp-server
- Hosted endpoint
https://stratoforce-mcp.stratoforce.workers.dev/mcp