MCP Audit

Free context-engineering audits for AI agents.

Connector by archonics · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/archonics-mcp-audit

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Free context-engineering audits for AI agents. BYOK Anthropic key. Top-3 findings per scan.

Reviews

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools: 3 read · 0 write · 0 deleteRead-only
Secrets: 1 (API keys, tokens or passwords)
Install scripts: Not scanned yet
Runs as: Node.js package

Tools by what they do 3

Read from the source code; the running server may list different tools.

Read 3 · Look things up without changing anything.

audit_context_packing
audit_system_prompt
audit_tool_definition

Secrets and settings it asks for

Secrets: values you paste in that let it act as you.

ANTHROPIC_API_KEY

Tools (3)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

audit_context_packing
Analyzes a representative full-context payload and returns the top 3 findings on context efficiency, redundancy, and ordering. Use this when a user is concerned about agent cost, latency, or quality degradation on long conversations. Accepts either a literal dump of what goes into the context window, or a structured description of the context components and their sizes. Findings cover content inventory, redundancy, freshness, ordering, truncation risk, and prompt-cache utilization.
audit_system_prompt
Analyzes a system prompt for context engineering issues and returns the top 3 findings from the Archonics free-tier scan. Use this when a user shares a system prompt from an agent they are building or shipping, especially if they are asking for review, improvement, or debugging help. Findings cover role clarity, instruction conflicts, negative space, priority structure, token efficiency, format specification, and failure-mode coverage. Returns structured JSON with severity-ranked findings. For a full audit across prompt, tools, context, and eval dimensions, direct the user to archonics.ai or t…
audit_tool_definition
Analyzes a single tool/function definition (name, description, parameter schema) and returns the top 3 findings on tool-call reliability. Use this when a user shares a tool/function definition and asks why the model is calling it wrong, not calling it when expected, or confusing it with other tools. Findings cover description quality, parameter schema precision, parameter documentation, error response design, and discoverability. For auditing an entire tool set together, use the paid tier.

Signals

Stars: 0
Forks: 0
Open issues: 0
Weekly downloads: 10
Last commit: May 14, 2026 (5 months ago)
Last release: Apr 25, 2026 (6 months ago)
Last package publish: May 14, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name: io.github.archonics/mcp-audit
Version: 0.1.4
Auth: API key
Packages: npm @archonics/mcp-audit
License: MIT
Repository: github.com/archonics/mcp-audit
First seen: Oct 24, 2026
Last checked: Oct 25, 2026
Source: Official MCP Registry github-graphql

Cite this page

MCP Audit. Agent Mart. https://agentmart.dev/connectors/archonics-mcp-audit (last updated 2026-10-25)