StratoForce AI Revenue Intelligence
RemoteAbout 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
- 01Pipeline and top-deal resources
- 02Pipeline health and deal lookup tools
- 03Pre-call briefing generation
- 04Risk scans for deals
- 05Search by deal, account, stage, or owner
- 06Sales review and coaching prompts
Use cases
- 01Reviewing pipeline health before a sales meeting
- 02Preparing a briefing before a deal call
- 03Finding stale or overdue opportunities
- 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.
https://stratoforce-mcp.stratoforce.workers.dev/mcpclaude mcp add --transport http tgomolski-lgtm-revenue-intelligence https://stratoforce-mcp.stratoforce.workers.dev/mcp{"mcpServers":{"tgomolski-lgtm-revenue-intelligence":{"type":"http","url":"https://stratoforce-mcp.stratoforce.workers.dev/mcp"}}}Open in Cursor{"servers":{"tgomolski-lgtm-revenue-intelligence":{"type":"http","url":"https://stratoforce-mcp.stratoforce.workers.dev/mcp"}}}Open in VS Code{"mcpServers":{"tgomolski-lgtm-revenue-intelligence":{"type":"http","url":"https://stratoforce-mcp.stratoforce.workers.dev/mcp"}}}{"mcpServers":{"tgomolski-lgtm-revenue-intelligence":{"serverUrl":"https://stratoforce-mcp.stratoforce.workers.dev/mcp"}}}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 READMEStratoForce 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
Comments
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.