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server.json
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48 lines (48 loc) · 1.48 KB
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{
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"name": "developers-universe-1/mcp-sales-agent",
"version": "1.0.0",
"description": "MCP-native sales intelligence: CRM, call analysis, pipeline, and rep coaching.",
"homepage": "https://github.com/developers-universe-1/agentic-sales-engine",
"repository": {
"type": "git",
"url": "https://github.com/developers-universe-1/agentic-sales-engine",
"source": "github"
},
"license": "MIT",
"transport": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"ts-node",
"src/mcp/server.ts"
]
},
"tools": [
{
"name": "analyze_call",
"description": "Ingest a sales call recording and extract sentiment, objections, talk ratios, and stage inference."
},
{
"name": "update_pipeline",
"description": "Move a deal to a new stage in the CRM pipeline."
},
{
"name": "draft_followup",
"description": "Generate a post-call follow-up email from conversation content."
},
{
"name": "generate_brief",
"description": "Surface last call summary, open commitments, recurring objections, and winning patterns."
},
{
"name": "score_rep",
"description": "Get per-position scorecards with talk-time ratios and objection-resolution rates."
},
{
"name": "get_benchmarks",
"description": "Get industry benchmark data for win rate, show rate, and cycle length."
}
]
}