Salesforce
This Salesforce MCP connector, developed by Suman G, enables seamless integration between Salesforce and AI-assisted workflows. It provides a Python-based interface for executing SOQL queries, performing SOSL searches, retrieving metadata, and managing Salesforce records through the Model Context Protocol. Built on the simple-salesforce library, it offers a range of Salesforce-specific operations including Tooling API and Apex REST requests. This implementation is particularly useful for developers and Salesforce administrators looking to incorporate AI assistance into their CRM workflows, enabling natural language interactions with Salesforce data and automating complex operations.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/smn2gnt/mcp-salesforce
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Salesforce from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.