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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 to manage records and automate external service integrations.
Connect AI to Salesforce to inspect objects and run SOQL queries.
Manage Salesforce orgs, query data, handle metadata, and run tests with natural language.
Parse Salesforce objects and fields to explore metadata with fewer AI hallucinations.
Let Claude query and manage Salesforce records via SOQL and SOSL.
Let AI query, update, and analyze Salesforce CRM data without API glue code.