mcp-cassette
Record/replay testing for MCP (Model Context Protocol) agents: capture real sessions as cassettes, replay them as deterministic mock servers — vcrpy for MCP.
A cassette records the entire session between your agent and a real MCP server — local stdio or remote Streamable HTTP — as a structured, diffable, committable file. Replayed, it stands in for the live server, so your agent test suite stops hitting live servers and stops being flaky, slow, and expensive.
mcp-cassette operates at the transport level (newline-delimited JSON-RPC over stdio; h11 + hand-rolled SSE framing over Streamable HTTP), treats messages semi-opaquely, and does not depend on the official mcp SDK at runtime — so it works with any MCP client (Claude Code included) unmodified. Sessions containing server-initiated requests (sampling, elicitation) record and replay too.
Full documentation: docs/guide/ — chapters in
reading order: getting started, then how-to guides for test authors (HT) and
troubleshooting, then installation, configuration, CI, CLI reference, and the runbook for
operators (OP). The sections below summarize; each ends with a pointer to its full chapter.
1. Install
uv add mcp-cassette # or: pip install mcp-cassette
uv add "mcp-cassette[http]" # remote (Streamable HTTP) record/replay
Python ≥ 3.12. Linux, macOS, and Windows supported. The core install depends only on anyio and pydantic; the [http] extra adds httpx and h11.
Full chapter: OP-01. Installation.
2. The three front doors
One machinery, three ways in: the pytest fixture, the use_cassette library door, and the CLI. Same cassette format, same record modes (§3), same fault matrix (§5), same failure semantics — they differ only in who drives the session and where the cassette path comes from.
2.1 The pytest fixture (the main surface)
def test_agent_summarizes_repo(mcp_cassette):
cmd = mcp_cassette.server_command(["python", "tools/github_server.py"])
result = run_my_agent(mcp_servers={"github": cmd})
assert "summary" in result
First run records through the recording proxy; every run after replays offline, deterministic and fast. The fixture never monkeypatches your agent — it hands you a command list to plug into the agent's MCP server configuration.
For a remote server, server_url is the drop-in twin (needs the [http] extra):
def test_agent_reads_remote_tracker(mcp_cassette):
url = mcp_cassette.server_url("https://mcp.example.com/mcp")
result = run_my_agent(mcp_servers={"tracker": {"url": url}})
assert "triaged" in result
First run stands up a local recording proxy in front of the real URL; every run after replays from the cassette on a local mock Streamable HTTP server. Same record modes, same fault matrix. Authorization (and every other header) is forwarded upstream but never written to the cassette.
Full chapters: HT-01. Record and replay a stdio server, HT-02. Record and replay a remote HTTP server.
2.2 Use it as a library
Not a pytest suite? use_cassette is the same machinery behind a context manager — same modes, same fault matrix, same failure semantics:
from mcp_cassette import use_cassette
with use_cassette("cassettes/search.mcp.json", mode="once") as session:
cmd = session.server_command(["python", "-m", "my_server"])
run_my_agent(mcp_servers={"search": {"command": cmd[0], "args": cmd[1:]}})
# clean exit -> finalize(): background server stopped, report checked,
# CassetteError raised on an empty recording or any replay miss
The session report goes to a temp directory that is removed on exit — no untracked JSON next to cassettes you commit. examples/library_mode.py is runnable.
Full chapter: HT-03. Use it as a library.
2.3 The CLI
mcp-cassette record --cassette demo.json -- python tools/server.py # wrap a real server
mcp-cassette record --cassette demo.json --url https://mcp.example.com/mcp # proxy a remote one
mcp-cassette serve demo.json # drop-in replay server (transport inferred)
mcp-cassette serve demo.json --faults demo.faults.json # replay with faults
mcp-cassette inspect demo.json # per-method counts + timing
mcp-cassette inspect demo.json --timeline --grep 'tools/call' # message timeline, payload-grepped
mcp-cassette inspect demo.json --format json > summary.json # deterministic, diffable
mcp-cassette inspect demo.json --faults demo.faults.json # dry-run: which requests a fault hits
mcp-cassette diff old.json new.json --tools-only # exit 5 when the server surface moved
A recording is checkpointed to a <cassette>.partial sidecar every 5 seconds (--checkpoint-interval SECONDS, 0 disables), so a hard kill loses only what arrived since the last checkpoint. The sidecar is a valid cassette — see §OP-02.6 Checkpointing for recovery and why it is never written to the cassette path itself.
inspect, lint (§8.1), and diff (§8.2) are CLI-only workflows in practice, but not CLI-only code: lint_cassette and diff_cassettes are exported from the package for scripted gates.
Full chapter: OP-04. CLI reference.
3. Record modes
The mode decides, once per test run, whether that run records or replays; the recording unit is always the entire session — every message from server launch to session end — never an individual tool call.
| Mode | Cassette absent | Cassette present |
|---|---|---|
once (default) |
record | replay |
none |
fail — recording is forbidden | replay |
all |
record | re-record |
new_episodes |
record | replay; misses fall through to the real server and are appended |
How each door selects a mode, highest precedence first:
| Door | Selection |
|---|---|
| pytest fixture | MCP_CASSETTE_MODE (env) → marker mode= → mcp_cassette_mode (ini) → default once |
use_cassette |
MCP_CASSETTE_MODE (env) → mode= argument → default once |
| CLI | explicit by command: record records, serve replays, serve --new-episodes appends misses |
CI should set MCP_CASSETTE_MODE=none so no pipeline silently hits a live server — the env var wins through both programmatic doors, and the CLI has no door that records by accident.
Cassette paths come from the marker's cassette=, else mcp_cassette_dir (ini), else <rootpath>/tests/cassettes; pytest -o mcp_cassette_dir=... overrides it for one invocation. That setting is fixture-only, and deliberately has no env var — the fixture is the one door that derives a path from the test name. The CLI and use_cassette take the full path from you, so you compose the directory into it yourself.
Full chapter: OP-02. Configuration.
4. The CI contract: record once, commit, replay forever
Three steps, and the third is the one that has to be enforced:
- Record once, locally, against the real server. Default
oncemode does this when no cassette exists. - Commit the cassette. Review it like code — a changed tool description is a supply-chain event, not a fixture edit.
- CI only replays and lints.
MCP_CASSETTE_MODE=nonemakes a missing cassette a red build instead of a live call with production credentials.
examples/cassettes/echo_and_add.mcp.json is this repo's golden cassette — the committed recording behind test_echo_and_add. Prove replay-only mode against it, one test or the whole directory:
MCP_CASSETTE_MODE=none uv run pytest examples/test_echo.py -q # one file: 4 passed
MCP_CASSETTE_MODE=none uv run pytest examples/ -q # all examples: 5 passed
Both run with no server, no network, and no credentials. Under none, a deleted or unmerged cassette fails with no cassette at <path> and recording is forbidden — delete one on a scratch branch to see it.
Full chapter: OP-03. CI pipeline.
5. Fault injection
One recorded cassette drives a whole resilience matrix:
import mcp_cassette as mcc
@pytest.mark.parametrize("fault", [
mcc.Fault.timeout("tools/call", nth=1),
mcc.Fault.error("tools/call", code=-32000, message="rate limited"),
mcc.Fault.disconnect("tools/call"),
])
def test_agent_survives_tool_trouble(mcp_cassette, fault):
session = mcp_cassette.with_faults(fault)
cmd = session.server_command(["python", "tools/github_server.py"])
result = run_my_agent(mcp_servers={"github": cmd})
assert result.completed_with_degraded_tools
Fault types: delay, timeout, error, malformed, disconnect. Faults live in a FaultOverlay; the recorded cassette is never mutated.
Every door can inject them: with_faults(...) on the fixture session, use_cassette(..., faults=FaultOverlay(...)) in library code, and serve --faults <overlay>.json on the CLI — the fixture just writes your overlay to a temp file and passes that same flag. Faults are replay-only, on every door: with_faults under a recording mode raises (new_episodes counts as recording), and serve --new-episodes --faults is a usage error.
Faults fire on the response side, after a request matched a recorded exchange — there is no fault that corrupts the request on its way in. An unmatched request never reaches the injector at all: the client gets a -32001 unmatched error and the server exits 3, whether or not a fault targeted that method. inspect --faults dry-runs which recorded requests an overlay would hit, and a fault that never fired warns at shutdown, so a typo'd method name is visible instead of silent.
Full chapter: HT-04. Inject faults.
6. Replay timing
Replay is instant by default. When your agent's timeout, progress-stream, or retry logic depends on how long the server took, replay the recorded gaps instead:
mcp-cassette serve demo.json --pace recorded # recorded latency
mcp-cassette serve demo.json --pace recorded --pace-scale 0.2 # 5x faster
Also @pytest.mark.mcp_cassette(pace="recorded", pace_scale=0.2) and use_cassette(..., pace=PaceConfig(mode="recorded")). Per-gap cap defaults to 5000 ms so one pathological recorded pause cannot look like a hung job; --pace-cap-ms 0 opts into uncapped. A delay fault stacks on top of recorded latency.
Full chapter: HT-05. Replay timing.
7. Redaction
Cassettes are verbatim transcripts, and you commit them — so redaction runs at capture time, on a deep copy, with defaults always on: values under keys matching *token*, *secret*, *password*, *apikey*, *api_key*, or authorization are replaced with REDACTED before the cassette is written. Add your own rules with --redact (key-glob or JSON pointer). Read every new cassette before its first commit anyway.
Full chapter: HT-07. Redact secrets.
8. Gating your cassettes
Two gates, and they cover each other's blind spots: lint catches text that looks hostile, diff catches a surface that moved. A poisoned description that was there from the first recording never moves; an innocuous new parameter never looks hostile.
Both run against a cassette file, not a session, so they belong in CI next to your test run rather than inside it.
8.1 Lint: injection smells
Recorded tool descriptions and results are third-party content; lint them in CI before they reach a model:
mcp-cassette lint demo-http.json
mcp-cassette lint new.json --baseline tests/cassettes/old.json --format json
Rules: R001 instruction injection in a tool description (error), R002 description/schema drift vs a baseline — the "rug pull" (error), R003 duplicate tool names (warning), R004 instruction-shaped tool results (warning). Exit 0 = no error-severity findings, 4 = at least one. Each finding carries a JSON-pointer locator into the cassette.
Bring your own rules with a declarative TOML pattern pack — no Python plugin API, deliberately, because lint should never execute third-party code on a supply-chain-security surface:
mcp-cassette lint demo.json --pattern-pack examples/lint-pack.toml
mcp-cassette lint demo.json --fail-on warning
[tool.mcp_cassette.lint] in pyproject.toml makes your packs, selection, and failure threshold the default for every invocation, so the CI command stays generic. Packs extend the bundled rules; they never replace them.
A pack adds patterns, not surfaces: patterns match tool descriptions (from tools/list) and tool result text (from tools/call), which is everything lint reads. A tool's name and inputSchema are compared, not pattern-matched — that is R002's and diff's job.
Heuristic pattern rules, not a guarantee — a clean lint is the absence of known smells, nothing more.
8.2 Diff: a drifting server surface
diff --tools-only exits 5 when a tool's description or schema moved between two recordings — including changes that carry no smell at all. Committed cassettes make the whole gate runnable from a clone, with no server and no network:
mcp-cassette lint examples/cassettes/tools.mcp.json # clean: exit 0
mcp-cassette lint examples/cassettes/tools-v2.mcp.json # injected description: exit 4
mcp-cassette diff examples/cassettes/tools.mcp.json \
examples/cassettes/tools-v2.mcp.json --tools-only # surface moved: exit 5
tools-v2 is the same server one version later. Its description picked up an injection payload, and echo grew a callback_url parameter. The new parameter reads as perfectly innocuous, so lint never flags it — only diff does. Both steps run in this repo's CI, asserted by exit code.
A red drift gate is not a failure to re-record away: read the diff, decide whether you accept the new surface, and only then commit the fresh cassette as the new baseline.
Full chapters: HT-08. Lint with your own pattern packs, HT-09. Gate a drifting server surface.
9. Built with Claude Code
mcp-cassette was built with the help of Claude Code under human direction and review.
It is an independent open-source project: not an Anthropic product, and not affiliated with or endorsed by Anthropic. "Model Context Protocol" and "Claude" are Anthropic's.
10. License
Apache-2.0 — see LICENSE.
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