Salesforce CLI
SF-MCP is a Node.js server that exposes Salesforce CLI functionality through the Model Context Protocol, allowing AI assistants to interact with Salesforce orgs. Developed by Kevin Poorman, it dynamically discovers and registers all available SF CLI commands as MCP tools, supports project-specific command execution through configurable roots, and includes caching mechanisms for improved performance. The implementation handles contextual command execution within Salesforce project directories, making it particularly valuable for developers and administrators who need to perform Salesforce operations like querying data, deploying code, or managing orgs through AI assistants.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · 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/codefriar/sf-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Salesforce CLI 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.