Build and evaluate MCP-capable agents with fast-agent
Scaffold, run, inspect, and evaluate model-agnostic agents that connect to MCP servers, skills, shell tools, and workflow packs.
npx skills add agentskillexchange/skills --skill build-and-evaluate-mcp-capable-agents-with-fast-agent
Use fast-agent when an operator needs to build or debug MCP-capable agents from a CLI-first workflow. The operator installs fast-agent, starts an interactive session or scaffolds an agent, connects MCP servers, selects a model, runs the agent, and inspects model, skill, transport, and workflow behavior. Invoke this instead of normal framework use when the job is to compose and evaluate an agent against MCP tools or packaged workflows with repeatable configuration. The boundary is MCP-aware agent development and evaluation; do not present fast-agent as a generic Python framework listing.
What this skill actually does
Inputs and prerequisites: Python, uv, fast-agent-mcp, target model provider, optional MCP servers.
Setup notes: Install with uv tool install -U fast-agent-mcp or run uvx fast-agent-mcp@latest -x. Use fast-agent scaffold or fast-agent go, connect MCP servers with /connect, select a model, and run or evaluate the configured agent workflow.
Source and verification boundary: use https://fast-agent.ai as the canonical reference before running the workflow; keep commands, API calls, CLI usage, and generated outputs reviewable against that upstream source.
Framework fit: publish this as a MCP workflow only when the operator can invoke the documented toolchain directly, rather than treating the upstream project as a generic product listing.