mcp-audit

Official registry Security

Scan, enumerate, and risk-score every MCP server configured on your machine.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package mcp-audits
Claude Code
claude mcp add mcp-audit -- uvx mcp-audits==2.12.0 serve
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "mcp-audit": {
            "command": "uvx",
            "args": [
                "mcp-audits==2.12.0",
                "serve"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. mcp-audit
  2. Try it
  3. What to do with a finding
  4. Use in CI
  5. Choose a review path
  6. Keep the evidence in context
  7. Status
  8. More documentation

mcp-audit

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/MCPAudit@v2.12.0

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/.

Frequently asked questions

What is mcp-audit?

Scan, enumerate, and risk-score every MCP server configured on your machine.

How do I install mcp-audit?

It runs on your machine. In Claude Code: claude mcp add mcp-audit -- uvx mcp-audits==2.12.0 serve. For other clients, paste the JSON configuration from this page into their MCP settings.

Does mcp-audit need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is mcp-audit open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains mcp-audit?

It is published by saagpatel. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.