mcpField
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mcp-audit

mcp-audit

Local
github.com/saagpatelSecurity4Updated 2w ago

About mcp-audit

mcp-audit is a command-line tool for reviewing configured MCP servers and their declared capabilities, aimed at individuals and CI workflows assessing configuration risks. It supports static and opt-in connected checks, with findings intended as review signals rather than safety verdicts.

Key features

  1. 01Statically review MCP configurations
  2. 02List tools exposed by servers
  3. 03Score findings and show evidence
  4. 04Compare against a saved baseline
  5. 05Write JSON, SARIF, and HTML reports
  6. 06Evaluate local policy files

Use cases

  1. 01Review a single MCP configuration file
  2. 02Generate SARIF reports in CI
  3. 03Compare server configurations with a saved baseline
  4. 04Check configurations against local policy

MCP support

It reviews MCP server configurations and can optionally connect to servers to list their exposed tool metadata. Checks are static by default; connected checks may start local programs or contact configured endpoints.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"saagpatel-mcp-audit": {
"command": "uvx",
"args": [
"mcp-audits"
]
}
}
}
Run commanduvx mcp-audits

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypimcp-audits2.12.0

Tools

13

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
skip_connectbooleanNo

Details

From the project README

mcp-audit

PyPI Python CI CodeQL License: MIT

See what your AI tools' MCP servers can reach.

MCPAudit reviews MCP server configuration and, when asked, lists the tools a server exposes. It highlights declared capabilities, instruction-shaped text heuristics, and changes from a saved pin so you can decide what to investigate. Findings are review signals: a high score means broader capability exposure, not that a server is malicious or unsafe.

Important

The package is mcp-audits; the command is mcp-audit. The default check is static. check --connect, --connect-all and legacy scan can start configured local programs or contact configured endpoints. Package verification, downloads, and LLM analysis are separate opt-in operations. MCPAudit does not edit configs, and reports environment variable key names, never their values. Review generated reports before sharing them.

Try it

mcp-audit                              # static review of supported configs
mcp-audit check --config ./mcp.json    # review this file only; no connections
mcp-audit demo                         # see a bundled synthetic example
mcp-audit explain MCP007               # explain a finding offline; no config reads

Install with uv:

uv tool install mcp-audits

Or run without installing:

uvx --from mcp-audits mcp-audit demo

What to do with a finding

Start with the suggested action and inspect the named capability or evidence. For example, if a filesystem server can write broadly, restrict its configured directory and review the report again. Pattern-based instruction checks can miss reworded or obfuscated text and can also need human review. A clean report is not a safety certificate.

Review the server's configured access, narrow it if needed, then run the check again.

Use Start here for a guided walkthrough and Reading results to interpret scores, findings, and coverage. How it works explains the check boundary.

Each rule's meaning, possible consequences, manual fix and confidence limits are in the finding reference; mcp-audit explain MCP013 prints the same entry offline. Explicit --config sources are labeled "explicit file; parsed as Claude-style config"; the parser identity does not establish which client uses that file.

Static tool metadata checks also flag malformed MCP header annotations, credential parameters mapped to headers, external schema references and unexpected icon sources. These checks inspect served metadata without fetching schemas or icons.

Use in CI

MCPAudit can write SARIF and evaluate local policy files. Begin with config-only CI, then enable connected checks only where the workflow should start those servers. See the CI guide and policy examples.

For a pinned release example, the composite Action can upload SARIF to GitHub code scanning:

- uses: saagpatel/[email protected]

The release checklist calls out Action references so maintainers can update examples when a new public release is available. Review the action's permissions and inputs before enabling it in a repository.

Choose a review path

GoalStarting pointWhat it does
Learn the outputmcp-audit demoUses bundled synthetic input
Review one filemcp-audit check --config FILEStatic check of the selected config
Make a share cardmcp-audit checkup --config FILE --card checkup.htmlWrites a local counts-only HTML Preview
See discovered sourcesmcp-audit inspectLists identities and source status
Inspect one servermcp-audit check --connect --server IDConnects to one unambiguous identity
Inspect a fleetmcp-audit check --connect-allConnects to workstation servers; add --connect-project-configs for projects
Automate a policymcp-audit check --policy FILEEvaluates a local policy
Review a saved pinmcp-audit pin --statusShows baseline status; pin is the visible alias for baseline pin

The server ID is CLIENT:SCOPE:NAME; use the exact identity from inspect to avoid ambiguous selections. Connected checks can start configured local commands or contact their endpoints.

checkup writes a local, counts-only share card with no names by default; see the checkup guide.

Keep the evidence in context

Configuration-based findings describe declared access. A connected listing adds the tool metadata the server provides, but does not prove what the server will do later. Connected HTTP scans also send one credential-free server/discover request and, on 401, review bounded public authorization metadata. The probe never uses configuration header values and does not run with --skip-connect or for project sources without connection opt-in. These observations do not prove a completed OAuth flow. The optional canary is bounded and exercises only eligible tools under its documented limits. See How it works for the boundary between those observations.

Reports can contain configuration shape, tool names, and evidence text. Secret redaction is best-effort (known issues); review a report before sharing it. Configs are parsed in full, but environment variable values are discarded during parsing and never reported; reports keep key names for context. The output contract lists stable fields and the limits of these outputs.

Status

Stack

MCPAudit uses Python 3.11+, uv, pytest, Ruff, and mypy. JSON, SARIF, and HTML reports are versioned public surfaces. Run make check before proposing changes.

Known risks

Static findings describe configured access and served metadata; they do not prove how a server behaves later. Secret redaction is best-effort. See the 3.0 boundary proposal for the release's compatibility changes.

Next steps

Use explicit synthetic fixtures for local changes, preserve read-only defaults, and keep coverage claims tied to completed checks. Re-enable Python 3.15 after an rpds-py/PyO3 lock refresh. The 3.0 package split and deprecated-surface removal remain planned work.

More documentation

Explore pinning, shadow review, suppressing findings, the trust packet guide, MCP trust packet, output contract, and sandbox fixtures. See the documentation index, labs, maintainer procedures in maintainers/, and older material in archive/.

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