Salesforce
This Salesforce MCP server, developed as an open-source project, enables AI assistants to interact with Salesforce data and operations through the Salesforce REST API. It provides a streamlined interface for executing SOQL queries, retrieving object metadata, and performing CRUD operations on Salesforce records. The server abstracts the complexities of Salesforce authentication and API calls, offering a set of high-level functions that simplify data access and manipulation. By connecting AI systems with real-time Salesforce data, this implementation facilitates tasks such as customer data analysis, sales pipeline management, and automated CRM updates. It is particularly useful for AI applications requiring integration with Salesforce, such as intelligent sales assistants, automated reporting tools, or any system that needs to programmatically interact with Salesforce data.
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
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/kablewy/salesforce-mcp-server
- 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.