StratoForce AI Revenue Intelligence

io.github.tgomolski-lgtmPublished by GitHub account tgomolski-lgtmv2.0.0Updated Oct 25, 2026

15 AI revenue intelligence tools for Salesforce — pipeline, deals, coaching, competitors.

VerifiedStreamable HTTPWeb executableData & AnalyticsBusiness & Commerce

Overview

AI-generated overview

StratoForce AI Revenue Intelligence connects an AI assistant to Salesforce pipeline data for pipeline health, deal details, briefings and risk scans.

What you can do
Read pipeline data: pipeline summary, top deals and active alerts as resources, plus pipeline health with stages, velocity, win rate and stale deals, and deal search by name, account, stage or owner. Inspect a single opportunity: contacts, conversations and scores. Generate pre-call briefings with stakeholders, competitive intel and talking points. Scan for risks such as stale deals, past-due close dates and dark champions. Run built-in prompts for weekly pipeline review, MEDDIC deal coaching and forecast preparation.
When to use it
Useful for sales teams and revenue operations that keep their pipeline in Salesforce and want an assistant to answer natural-language questions about it, prepare calls and forecast reviews, or surface at-risk deals without exporting data by hand.
Requirements
A remote endpoint with OAuth authentication required. The README also describes a local setup needing Node.js 20+, the Salesforce CLI with an authenticated org, the SF_TARGET_ORG environment variable, and the StratoForce AI managed package installed in the Salesforce org.
Before you install
It reads revenue and deal data from your Salesforce org, including contacts, conversations and scores, so access should be limited to users allowed to see that data. OAuth grants the server access to your Salesforce account. The README setup uses the Salesforce CLI with an authenticated org, so the credentials of that org are involved.

Installation

In SourceWeft

  1. Open StratoForce AI Revenue Intelligence in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.tgomolski-lgtm%2Frevenue-intelligence/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "stratoforce-ai-revenue-intelligence": {
      "type": "http",
      "url": "https://stratoforce-mcp.stratoforce.workers.dev/mcp"
    }
  }
}

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)

ResourceURIDescription
Pipeline Summarystratoforce://pipeline/summaryOpen deals by stage with totals
Top Dealsstratoforce://pipeline/top-dealsTop 15 opportunities by value
Active Alertsstratoforce://alerts/activeRevenue intelligence alerts (last 7 days)

Tools (LLM-invokable functions)

ToolDescription
get_pipeline_healthComprehensive pipeline health: stages, velocity, win rate, stale deals
get_deal_detailsDeep dive on any opportunity: contacts, conversations, scores
generate_briefingAI pre-call briefing: stakeholders, competitive intel, talking points
scan_risksPipeline risk scan: stale deals, past-due close dates, dark champions
search_dealsSearch deals by name, account, stage, or owner

Prompts (pre-built templates)

PromptDescription
pipeline_reviewWeekly pipeline review for sales meetings
deal_coachingDeal-specific coaching with MEDDIC analysis
forecast_prepForecast 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

bash
cd stratoforce-mcp-servernpm install

Configure Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

json
{  "mcpServers": {    "stratoforce": {      "command": "node",      "args": ["/path/to/stratoforce-mcp-server/index.js"],      "env": {        "SF_TARGET_ORG": "stratoforce-dev"      }    }  }}

Test

bash
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 RESTStratoForce Managed Package (data layer)

License

MIT — StratoForce AI, LLC

Source: README.md at commit ef3da12

Tools

0
This server asks for a credential such as an API key, so SourceWeft could not read its tools without one and has not indexed them.

Version history

1
  1. v2.0.0LatestSep 16, 2026

Score

75% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

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