Agentsnap
Snapshot and diff AI tool-call traces so prompt or skill changes do not silently break agent behavior.
Overview
Agentsnap is an MCP server for the Ship phase that snapshot-tests AI tool-call traces to catch regressions via diff and validation.
What is this MCP server?
- Snapshot tests for AI tool-call traces with diff and validation
- Catches silent regressions when prompts, skills, or models change
- stdio MCP via @mukundakatta/agentsnap-mcp on npm
- Treats tool-call sequences like test fixtures instead of eyeballing logs
- Package @mukundakatta/agentsnap-mcp version 0.1.0
- Transport type stdio
- Repository github.com/MukundaKatta/agentsnap-mcp
What problem does it solve?
Agent tool-call behavior drifts invisibly when you change models or skills, with no snapshot safety net.
Who is it for?
Indie builders with repeatable agent flows who want regression gates on tool-call patterns.
Skip if: One-off chats with no stable tool sequence, or teams that only measure final text quality not tool traces.
What do I get? / Deliverables
You store baseline traces and get clear diffs when new runs diverge from expected tool choreography.
- Stored tool-call snapshots
- Diff and validation results against baselines
Recommended MCP Servers
Journey fit
How it compares
MCP trace snapshot testing, not a general LLM benchmark suite.
Common Questions / FAQ
Who is agentsnap for?
Developers shipping agent automations who need fixture-style tests on tool-call sequences.
When should I use agentsnap?
Use it before release and in CI when you change skills, system prompts, or model versions on critical agent paths.
How do I add agentsnap to my agent?
Install @mukundakatta/agentsnap-mcp, connect via stdio in your MCP client, record snapshots for golden flows, and run diff or validate on each change.