Salesforce
This Salesforce MCP server by Cristiano Steffens provides AI agents with comprehensive Salesforce integration through TypeScript, offering 11 core tools for SOQL queries, SOSL searches, record CRUD operations, object metadata retrieval, and REST API access. Built with robust authentication supporting both username/password OAuth flows and direct access token methods, it includes automatic token refresh, comprehensive error handling, and Docker deployment with multi-architecture support for both sandbox and production environments. The implementation features extensive test coverage with Vitest, TypeScript strict mode for type safety, and flexible configuration through environment variables, making it valuable for AI-powered CRM automation, data analysis workflows, and applications requiring programmatic Salesforce operations with enterprise-grade reliability.
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
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/steffensbola/salesforce-mcp-ts
- 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.