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salesforce-mcp

Vinkius Edge enterprise Model Context Protocol (MCP) server for Salesforce CRM standard objects and SOQL.

Install / Use

claude mcp add vinkius-labs -- npx -y github:vinkius-labs/salesforce-mcp

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

71/100

Supported Platforms

Claude Code
Claude Desktop

Tags

☁️ Salesforce CRM Model Context Protocol (MCP)

Deploy on Vinkius Edge Docker Pulls

Turn your AI into a fully autonomous sales operations manager. This server provides a native Model Context Protocol bridge directly into Salesforce CRM, allowing large language models (LLMs) to natively query, mutate, and analyze your enterprise data pipeline without writing a single line of API glue code.

Why use this integration?

Connecting ChatGPT, Claude, or any custom agent to your CRM usually involves brittle Zapier flows or custom middleware. This MCP exposes a structured, intent-driven interface. Whether you need to run complex SOQL aggregates or execute routine CRUD operations on custom objects, the agent handles it safely.

Built for the Vinkius Edge Platform

We designed this connector specifically to be hosted on the Vinkius Edge. When you deploy your agentic infrastructure on Vinkius, you benefit from:

  • Zero-Trust Security: Vinkius securely stores your Salesforce OAuth tokens. The AI never sees your underlying credentials.
  • Edge Performance: Running on V8 isolates via Vinkius guarantees ultra-low latency, crucial when AI agents execute multi-step SOQL chain reasoning.
  • Instant Scale: Stop managing Node.js PM2 servers. Vinkius handles the infrastructure seamlessly.

Available Agentic Capabilities

The server registers 12 distinct tools designed for semantic consumption:

  • Data Retrieval: Execute raw soql_query or use optimized list_accounts, list_contacts, and list_opportunities fetchers.
  • Deep Exploration: The global_search tool leverages SOSL to find entities across the entire Salesforce org instantly.
  • Full Lifecycle: Complete get_record, create_record, update_record, and delete_record support for standard and custom SObjects.
  • Analytics: Expose your existing pipeline dashboards directly to the LLM via list_reports and run_report.

🚀 Deployment Guide

To get this running on the Vinkius Edge Marketplace:

  1. Pull the repository to your environment.
  2. Initialize the deployment to Vinkius:
npx mcpfusion deploy

Within seconds, your MCP will be globally distributed and available for connection.

🔗 Claim your free edge hosting for the Salesforce MCP on Vinkius

Testing Locally

For engineers modifying the core engine using @mcpfusion/core:

npm install && npm run dev

Related Skills

View on GitHub
GitHub Stars3
CategoryAI
Updated2mo ago
Forks0

Languages

TypeScript

Security Score

80/100

Audited on Jun 20, 2026

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