$ loading_
Plan Salesforce deploys, open pull requests, and trigger pipelines from AI clients.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "cloud.serpent/salesforce-devops" MCP server from askskill: Run: claude mcp add --transport http 'cloud-serpent-salesforce-devops' 'https://mcp.serpent.cloud/mcp'
Developers or DevOps engineers can use it to organize deployment order, collaboration steps, and execution flow before releasing Salesforce changes. This brings release planning directly into the AI client.
When a team needs to submit Salesforce-related changes, they can open pull requests directly through it instead of switching across tools. It fits well into pre-review submission workflows.
Once changes are ready, users can trigger relevant pipelines from the AI client to speed up Salesforce delivery. It is useful for connecting deployment actions to automated release flows.
It is an MCP tool for Salesforce development and delivery workflows. From an AI client, it can plan deployments, open pull requests, and trigger pipelines.
The provided information does not specify installation steps, authentication requirements, or runtime details. For exact prerequisites, see the source repository.
Based on the description, it focuses on Salesforce deployment and delivery actions rather than just code generation. Its emphasis is on deployment planning, PR creation, and pipeline triggering.
Connect to Salesforce for interactive exploration, analysis, and organization management.
Connect AI to Salesforce to inspect objects and run SOQL queries.
Manage Salesforce administration, configuration, and data operations directly through this MCP tool.
Create and deploy Agentforce agents to Salesforce from gathered requirements.
Connect an MCP AI assistant to Salesforce for data, schema, Apex, and deployments.
Search, review, and update Salesforce records through Claude for faster team workflows.