AI Agent Tool Stack
AI agents need tool access, but every tool adds risk. Use MCP servers to assemble focused agent stacks with clear data sources, permissions, and review points.
Filesystem, GitHub, docs, and search servers provide the context an agent needs to plan useful actions.
Slack, Linear, cloud, and browser automation servers can trigger external effects and therefore need stricter approvals.
Production agent stacks need least-privilege credentials, logging, redaction, and rollback plans.
Group MCP servers by the role they play in the agent loop: context, planning, execution, or monitoring.
Autonomous workflows should not begin with broad write access. Start with read-only evidence gathering, then add reviewed write actions.
Use the existing BestMCPServers guides to move from a list of servers to a controlled operating model.
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.