Skip to main content

mcpscan

mcpscan finds the security risks in a Model Context Protocol (MCP) server — dangerous tools, leaked secrets, injection surfaces, unsafe transport — and grades them, before an AI agent ever trusts that server. It runs entirely on your machine.

Installs from PyPI as orisan-mcpscan; the command it gives you is mcpscan (an orisan-mcpscan alias also works). It is an alpha.

Try it in ten seconds

No repo of your own, no MCP servers to configure. uvx fetches mcpscan and runs it in one step, against a bundled sample config that includes one benign server and one deliberately risky one:

uvx orisan-mcpscan scan-config examples/sample-mcp.json --yes

Run it from a checkout of this repo (the only file you need is examples/sample-mcp.json). From a bare machine, grab just that file first:

curl -sO https://raw.githubusercontent.com/Orisan-org/mcpscan/main/examples/sample-mcp.json
uvx orisan-mcpscan scan-config sample-mcp.json --yes

The first run downloads the two sample servers via npx (~30s cold); after that it is seconds.

Real output — the risky server, which is handed the whole filesystem, grades D:

Servers: 2 total, 2 scanned, 0 failed, 0 skipped
Worst grade: D

notes-memory
  Transport: stdio
  Purpose: memory_store (config)
  Grade: A
  No findings.

risky-filesystem
  Transport: stdio
  Purpose: filesystem (config)
  Grade: D
┏━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ SEVERITY ┃ VERDICT              ┃ ID      ┃ TARGET              ┃ FINDING                                         ┃
┡━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ HIGH     │ expected_unconfirmed │ MCP-010 │ edit_file           │ Tool 'edit_file' appears to expose file write   │
│ HIGH     │ expected_unconfirmed │ MCP-010 │ get_file_info       │ Tool 'get_file_info' appears to expose read     │
│ HIGH     │ expected_unconfirmed │ MCP-010 │ read_file           │ Tool 'read_file' appears to expose file read    │
│ HIGH     │ expected_unconfirmed │ MCP-010 │ read_multiple_files │ Tool 'read_multiple_files' exposes file read    │
│ HIGH     │ expected_unconfirmed │ MCP-010 │ write_file          │ Tool 'write_file' appears to expose file write  │
└──────────┴──────────────────────┴─────────┴─────────────────────┴─────────────────────────────────────────────────┘

Privacy: payload_stored=false for all findings

How to read it:

  • Purpose: filesystem (config) — mcpscan worked out what the server is for from the config entry, and says where that came from. What follows depends on that source.
  • expected_unconfirmed — file read and write are exactly what a filesystem server is for, so they are not treated as hidden capability. But you did not confirm that purpose: the config line could have been copy-pasted from the server's own README. So mcpscan holds severity at HIGH rather than either escalating it or waving it through. Confirm with --purpose-category filesystem and these drop to INFO (was HIGH).
  • Severity is never lowered by anything the scanned server had a hand in saying. Raising it is open to any source; lowering it requires you. That one rule is why the same tool can be both quiet on a legitimate server and loud on a lying one.
  • Nothing is hidden or suppressed — every finding is shown, escalated, held, or annotated.
  • The benign notes-memory server grades A with no findings, so a clean server looks clean.

What it does, and what it does not do

What it does

  • Local-only. It runs on your machine. It does not upload source code, prompts, secrets, raw MCP responses, or findings to Orisan or anyone else. The only network it touches is the MCP server you point it at.
  • No LLM in the verdict path. Every check, severity, verdict, and grade is deterministic pattern and heuristic logic. No model call decides whether something is a finding or what grade you get. (You can grep the codebase for openai/anthropic/llm and find nothing in the scan path.)
  • Deterministic. The same server produces the same verdict every time — byte-identical apart from the run timestamp. No randomness, no wall-clock, in the verdict.
  • No telemetry. No analytics, no phone-home, no usage beacons. The single outbound-reporting path is the opt-in --push-envelope flag, which POSTs a shared report envelope to a control-plane URL you provide; without that flag nothing leaves the machine.
  • No suppression, no stored payloads. It never drops a finding to make a server look cleaner; it escalates or annotates instead. Every finding carries redacted evidence only and sets payload_stored=false.

What it does not do (yet)

  • No fleet scanning. One config or target per run. There is no multi-host inventory, dashboard, or continuous monitoring.
  • No dependency / supply-chain scanning. It inspects the MCP server's exposed surface (tools, resources, prompts, metadata), not the server's package tree or its dependencies.
  • No IDE extension. Command-line only; there is no editor or browser integration.
  • It also does not secure the model, enforce runtime policy, block agent actions, modify the target server, or monitor package registries.

Install

uvx orisan-mcpscan … (above) needs no install. To install the command persistently:

pipx install orisan-mcpscan     # or: uv tool install orisan-mcpscan
mcpscan --help

From a cloned repo, for development:

python3 -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
mcpscan list-checks
mcpscan scan --command ".venv/bin/python tests/fixtures/benign_server.py"   # grade A, no findings

Scan your client configs

scan-config starts from an MCP client config instead of a single server command:

mcpscan scan-config ./mcp.json --yes
mcpscan scan-config ./.mcp.json --yes --output json --out report.json

Config shape (the standard mcpServers object):

{
  "mcpServers": {
    "filesystem": { "command": "npx", "args": ["-y", "@modelcontextprotocol/server-filesystem", "/tmp/safe"] },
    "remote-dev": { "url": "http://127.0.0.1:8000/mcp" }
  }
}

scan-config scans config paths you pass explicitly, and can also discover known local MCP config locations for Claude Desktop, Claude Code, Cursor, and Windsurf. Stdio entries prompt before local execution unless --yes is given; remote URL entries never prompt. Environment values are passed to stdio servers but redacted from all output (names/counts only).

Use --push-envelope to POST the shared Orisan envelope to a control plane (URL from --control-plane-url or ORISAN_CONTROL_PLANE_URL, default http://127.0.0.1:8787; bearer via --ingest-token/ORISAN_INGEST_TOKEN). This is the only outbound-reporting path and it is off by default.

Scan a single server (stdio or HTTP)

# stdio: launches the command locally, handshakes, enumerates, then checks it.
mcpscan scan --command ".venv/bin/python tests/fixtures/malicious_server.py"

# Streamable HTTP (the primary tested remote transport):
mcpscan scan http://127.0.0.1:8000/mcp --transport http

Stdio targets execute locally — only scan commands you are willing to run. Cold-start npx/uvx servers can take 30+ seconds on first run; the default timeout is 90s (--timeout to change).

Reports and exit codes

mcpscan scan --command "…" --output json  --out report.json
mcpscan scan --command "…" --output md    --out report.md
mcpscan scan --command "…" --output sarif --out report.sarif   # SARIF 2.1.0 for CI/code-scanning
Code Meaning
0 Scan completed; no finding met the severity threshold
1 Scan completed; at least one finding met the threshold
2 User input / CLI usage error, including a scan-config run where nothing was scanned
3 Connection or enumeration error
4 Internal scanner error

--severity-threshold low|medium|high|critical controls when findings return exit 1.

Transport Status
stdio Tested
Streamable HTTP Tested
SSE Wired through the MCP SDK when available; not integration-tested

Context-aware verdicts (no suppression)

mcpscan never suppresses a finding. It labels each with a deterministic contextual verdict and keeps both original and adjusted severity when they differ:

  • expected_by_purpose — inherent to a purpose you supplied; downgrade-eligible (e.g. INFO (was HIGH)).
  • expected_unconfirmed — inherent to a purpose mcpscan inferred but you did not confirm. Severity is left exactly as the check set it: not escalated, and not lowered.
  • unexpected — outside the purpose category, but mentioned in declared text.
  • undeclared — outside the purpose category and not mentioned; treated as worse (e.g. CRITICAL (was HIGH)).
  • unadjudicated — no purpose was available.

The one rule behind all of it: any purpose source may raise a severity; only a purpose you supplied may lower one. Raising needs no trust — the worst a hostile source achieves by escalating is making its own findings look worse. Lowering is a claim that a dangerous capability is fine, so it has to come from outside the thing being scanned.

Purpose source Where it comes from May lower a severity?
flag --purpose / --purpose-category Yes
invocation the command line or URL you typed Yes
config a command line or URL read from an MCP client config file No
server_info the server's own name and instructions No

config is excluded on purpose even though it usually is your intent: install snippets get copy-pasted out of server-authored documentation, so the same string can be the server talking. server_info is the server talking outright — one that names itself filesystem-helper must not be able to make its own file-write capability look routine.

Confirm an inferred purpose with --purpose-category when you want the downgrade. Taxonomy in docs/PURPOSE_TAXONOMY.md.

What mcpscan checks

ID Title Base severity OWASP MCP Status
MCP-001 Tool description prompt injection high MCP03 active
MCP-002 Tool definition drift high MCP03 active with --baseline
MCP-010 Dangerous capability exposure high MCP02 active
MCP-020 Secret exposure in metadata critical MCP01 active
MCP-021 Sensitive data / file exposure high MCP10 active
MCP-030 Command or code injection surface high MCP05 active
MCP-040 Unauthenticated remote server high MCP07 active
MCP-041 Missing TLS high MCP07 active
MCP-050 Known-name lookalike (curated seed list) medium MCP09 active

Coverage maps to OWASP MCP classes MCP01, MCP02, MCP03, MCP05, MCP07, MCP09, MCP10. MCP04 (supply chain), MCP06 (tool shadowing), and MCP08 (audit/logging) are out of scope for this alpha. MCP-002 runs only with --baseline/scan-config --baseline-dir. MCP-050 is an offline heuristic against a curated static seed list, not registry monitoring.

Privacy and evidence model

By default mcpscan runs locally and uploads nothing. Findings store safe, redacted evidence only — location and class of risk, never full raw payloads — and every finding sets payload_stored=false. JSON reports include a surface block of hash-only snapshots (descriptions whitespace-normalized, schemas key-sorted, before hashing). Do not put secrets in --command, headers, or output paths; reports may echo the target string for traceability.

Development

ruff format --check . && ruff check . && pytest
python -m mcpscan --help
pytest -m network   # network-dependent stdio checks, excluded from default pytest

License

MIT

Release files for orisan-mcpscan 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for orisan-mcpscan 0.1.1
File Size Uploaded
orisan_mcpscan-0.1.1.tar.gz 133.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for orisan-mcpscan 0.1.1
File Interpreter ABI Platform
orisan_mcpscan-0.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 196.9 kB

Release files / orisan_mcpscan-0.1.1.tar.gz

Download URL orisan_mcpscan-0.1.1.tar.gz
Size 133.4 kB
Tags Source
SHA-256 checksum
How to use checksums
625f1e02cc5d06890335d1d2c84c069788b6744788db4888ff683cc214e19a6e
BLAKE2b-256 checksum
How to use checksums
b22e2731718b9535fdd6f92d3003eadd4452686eec61171a832d5d33b67f06da
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.0

Release files / orisan_mcpscan-0.1.1-py3-none-any.whl

Download URL orisan_mcpscan-0.1.1-py3-none-any.whl
Size 63.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
1f23dcf29a779efc884b055c321c8ede4fd283e3605699742a5b1dee12faa8d8
BLAKE2b-256 checksum
How to use checksums
49d8ed93cc5dad5104fc156fd542ba88c77eef6e14c6d8df4d4661a3edb3613e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.0

Release history Release notifications | RSS feed

0.2.1

2 release files

0.2.0

2 release files

This release

0.1.1 This release

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page