Server data from the Official MCP Registry
15 AI revenue intelligence tools for Salesforce — pipeline, deals, coaching, competitors.
About
15 AI revenue intelligence tools for Salesforce — pipeline, deals, coaching, competitors.
Remote endpoints: streamable-http: https://stratoforce-mcp.stratoforce.workers.dev/mcp
Security Report
Valid MCP server (2 strong, 4 medium validity signals). 1 known CVE in dependencies Imported from the Official MCP Registry.
3 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub 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)
| 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
Reviews
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