Developer MCP Workflows
Developers can use MCP servers to give AI assistants structured access to repositories, issues, databases, browsers, and documentation without dumping everything into a prompt.
Use filesystem and GitHub servers for codebase inspection, issue triage, repo onboarding, and pull-request preparation.
Use database, fetch, and cloud servers for read-only debugging and documentation workflows before enabling writes.
Developer MCP stacks should be scoped to one workflow, one repo, or one data source instead of broad machine access.
The best MCP stack depends on the job. A coding assistant needs different tools than a research agent or support bot.
Do not enable every available server at once. Add tools as the workflow earns them, then remove stale servers.
After choosing servers, turn the stack into repeatable workflows with prompts, setup notes, and verification steps.
Next step
Use the directory and security checklist to choose a stack, then move into workflow packs when you need prompts, config notes, verification steps, and implementation guidance.