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-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AI & Machine LearningSupported Platforms
Tags
Our assessment of salesforce-mcp
salesforce-mcp scores 67/100 on our quality scale, 897th of 957 AI & Machine Learning skills we index.
Its MCP Server is 2.7 KB long, split into 6 sections with 2 code examples: a solid amount of guidance for an agent.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 4 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- Our last check on 2026-08-31 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 78/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
salesforce-mcp compared with similar skills
All 4 of these similar skills score higher than salesforce-mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| salesforce-mcp (this skill)by vinkius-labs | 67 | 3 | 4mo ago | MCP Server |
| claude-memby thedotmack | 100 | 97.0k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 92.4k | 21d ago | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 85.4k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.5k | today | CLAUDE.md |
Frequently asked questions
- How do I install salesforce-mcp?
- Run
claude mcp add vinkius-labs -- npx -y github:vinkius-labs/salesforce-mcp. The install tabs above show the steps for each supported agent. - Which AI agents does salesforce-mcp work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is salesforce-mcp safe to use?
- It declares no license and scores 78/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is salesforce-mcp still maintained?
- The repository was last updated about 4 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHub☁️ Salesforce CRM Model Context Protocol (MCP)
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_queryor use optimizedlist_accounts,list_contacts, andlist_opportunitiesfetchers. - Deep Exploration: The
global_searchtool leverages SOSL to find entities across the entire Salesforce org instantly. - Full Lifecycle: Complete
get_record,create_record,update_record, anddelete_recordsupport for standard and custom SObjects. - Analytics: Expose your existing pipeline dashboards directly to the LLM via
list_reportsandrun_report.
🚀 Deployment Guide
To get this running on the Vinkius Edge Marketplace:
- Pull the repository to your environment.
- 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
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
