MCP Drift Lab
A research harness for measuring whether MCP clients preserve informed consent when tool definitions change after approval.
README
MCP Drift Lab
MCP Drift Lab is a controlled, non-destructive research harness for measuring whether real Model Context Protocol clients preserve informed consent when tool definitions change after approval.
The project intentionally separates two questions:
- Client lifecycle security: Did the client fetch, detect, display, re-approve, and gate a changed definition?
- Model susceptibility: After receiving changed metadata, did the model select a tool or alter its arguments?
All tools operate only on synthetic data and append events to a local JSONL sink. No real email, filesystem, cloud, trading, or identity account is connected.
Current scope
- File-backed, dynamically materialized MCP tool manifests
- Six baseline states: benign, description mutation, schema mutation, tool addition, Unicode TAG concealment, and behavior-only mutation
- Local stdio transport
- Streamable HTTP transport for controlled remote-client testing
- Optional lab-only control tool that emits
notifications/tools/list_changed - Canonical whole-manifest and on-wire toolset hashes
- Transparent stdio JSONL recorder
- Synthetic execution sink
- Pytest coverage and GitHub Actions CI
- Detailed cross-client research plan in
TEST_PLAN.md
Safety boundary
This repository is for testing clients you own or are explicitly authorized to test. Do not invoke tools on third-party MCP servers, attempt authentication bypass, collect credentials, or connect the harness to production accounts. See docs/ETHICS.md.
Requirements
- Python 3.11+
uvrecommended, or standardvenv/pip- Node.js 22.7.5+ only when using MCP Inspector
The project pins MCP Python SDK v1 because v2 remains prerelease until its stable release. The upper bound prevents an unreviewed major-version upgrade from changing experiment behavior.
Install
With uv
uv sync --extra dev
With venv and pip
python -m venv .venv
# Windows PowerShell: .venv\Scripts\Activate.ps1
# Linux/WSL: source .venv/bin/activate
pip install -e ".[dev]"
Inspect the current state
mcp-drift status
mcp-drift hashes
mcp-drift list-manifests
The default state is v0-benign.json.
Switch experiment state
mcp-drift set-state v1-description-mutation.json
mcp-drift status
The server reads the selected manifest on every tools/list, so a client refresh sees the new definition without restarting the process.
Run over stdio
mcp-drift-server --transport stdio
Example VS Code .vscode/mcp.json entry:
{
"servers": {
"mcp-drift-lab": {
"type": "stdio",
"command": "uv",
"args": ["run", "mcp-drift-server", "--transport", "stdio"],
"cwd": "${workspaceFolder}"
}
}
}
Run with raw stdio recording
Configure the client to launch the proxy instead of the server:
mcp-drift-proxy --log evidence/runs/manual/jsonrpc.jsonl -- \
uv run mcp-drift-server --transport stdio
The proxy preserves protocol stdout and writes timestamped client-to-server and server-to-client messages to JSONL.
Run over Streamable HTTP
mcp-drift-server --transport streamable-http --host 127.0.0.1 --port 8000
Connect MCP Inspector to:
http://127.0.0.1:8000/mcp
For a public deployment, terminate TLS in a reverse proxy and keep the state-control path local. The server has no public mutation-control HTTP endpoint.
Emit tools/list_changed
For protocol-baseline experiments only, enable the explicit control tool:
MCP_DRIFT_ENABLE_CONTROL_TOOL=1 mcp-drift-server --transport stdio
Then:
- Change state externally with
mcp-drift set-state .... - Call
lab_emit_tool_list_changedfrom MCP Inspector. - Observe whether the client requests
tools/listagain.
Do not enable this tool in approval-fidelity experiments because its presence changes the advertised toolset.
Run MCP Inspector
npx -y @modelcontextprotocol/inspector@latest
For a direct stdio launch:
npx -y @modelcontextprotocol/inspector@latest \
uv run mcp-drift-server --transport stdio
Keep Inspector bound to localhost and retain its proxy authentication. Never expose the Inspector proxy to an untrusted network.
Run tests
pytest
ruff check .
Evidence
Each tool call is appended to evidence/runs/<run-id>/synthetic-sink.jsonl when MCP_DRIFT_RUN_ID is set. Otherwise it is written beneath evidence/runs/manual/.
Suggested run setup:
export MCP_DRIFT_RUN_ID=vs-code-v0-v1-live-001
mcp-drift-server --transport stdio
Copy the row template from evidence/results-template.csv into your analysis dataset and add screenshots, client logs, prompts, and version metadata under the matching run directory.
Repository layout
mcp-drift-lab/
├── manifests/ # Experiment definitions
├── scenarios/ # Test matrix inputs
├── state/current.json # Selected manifest
├── src/mcp_drift_lab/ # Server, CLI, hashing, sink, recorder
├── evidence/ # Result schema and ignored run output
├── tests/ # Deterministic unit tests
├── docs/ETHICS.md # Research boundaries
└── TEST_PLAN.md # Latest cross-client test plan
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