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AgentSecurityLens MCP Security Trust Check MCP server

by professor2k8·io.github.professor2k8/agent-security-lens·v0.1.12

MCP security trust-check for agents before installing MCPs, Skills or tools.

B71/100grade B
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Safety scan
B71/100

full report

Adoption
New

0 stars63 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

AgentSecurityLens MCP Security Trust Check tools (11, 2 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • check_component

    Check ASL online intelligence for a component and return an agent-readable install decision.

  • discover_workspace

    Discover Agent, MCP and Skill environments under a workspace path.

  • get_install_policy

    Return the ASL machine-readable policy an autonomous agent should follow before installing MCPs, Skills, tools, prompt bundles, workflows or memory components.

  • get_intelligence_status

    Return whether ASL MCP is using online cloud intelligence or local fallback, and whether the cloud API is reachable.

  • get_research_status

    Check whether an unknown component submitted to ASL has been collected, scanned, reviewed, published, archived or is still pending.

  • recommend_alternatives

    Return safer alternatives and a safe install plan for a component.

  • report_install_outcome

    Report what happened after an agent followed an ASL decision. Use this to improve ASL adoption metrics and recommendation quality.

  • review_before_install

    Query ASL intelligence before an autonomous agent installs or enables an MCP, Skill, tool, prompt bundle, workflow, memory component or install command.

  • scan_workspace

    Discover and assess every Agent, MCP and Skill environment under a workspace path. Use this for local context only.

  • submit_decision_feedbackwrite action

    Submit feedback about whether an ASL decision was useful, wrong, missing an alternative, or too strict. Do not include secrets or private code.

  • submit_unknown_componentwrite action

    Submit public metadata for an unknown component to the ASL research queue. Do not submit private file contents or secrets.

Public scan report

scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it

1 medium
  • Code scan63 source files scanned20/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 81 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Findings (1)

  • mediumeval / new Function usedexec.eval
    data/intelligence/components.json: … 39, "preview": "area=eval(args.area),", "source_…
Overall 71/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How AgentSecurityLens MCP Security Trust Check compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
71/100
higher than 38% of 4,460 AI and agents servers
Tools
11
the typical AI and agents server has 6
Tools that change things
18%
typical: 0%. Fewer write tools means less an agent can break
Downloads a week
63
more than 51% of 1,538 AI and agents servers with a package

What its tools let an agent do: 9 read · 2 change

Install AgentSecurityLens MCP Security Trust Check in Claude Code, Cursor or VS Code

Runs npx -y agent-security-lens on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add agent-security-lens -- npx -y agent-security-lens
Add to Cursor

What the publisher says

From the AgentSecurityLens MCP Security Trust Check repository's README, as published. We do not edit it. Read it on GitHub

AgentSecurityLens

AgentSecurityLens (ASL) is an MCP security trust-check server for autonomous agents.

Before an agent installs or enables an MCP, Skill, tool, prompt bundle, workflow, or memory component, it can ask ASL for a machine-readable safe-install decision.

ASL is not a malware verdict tool. It returns observable risk signals, required controls, safer alternatives or mitigation paths, and a decision contract an agent can execute.

For Autonomous Agents

When you plan to install or enable an MCP, Skill, tool, prompt bundle, workflow or memory component:

  1. Run mcp-security-lens ..., agent-security-lens-review ..., or call the MCP tool reviewbeforeinstall.
  2. Read agentdecisioncontract.
  3. Do not install automatically when automaticinstallallowed is false.
  4. Apply every safeinstallplan item before restricted installs.
  5. Prefer recommendedalternatives when ASL returns avoid, askuser, or missing controls.
  6. Report the final outcome with reportinstalloutcome.

Machine-readable agent instructions are also available in AGENTS.md.

Agent Quick Install

Check whether ASL can reach online intelligence and what local fallback is available:

npx -y agent-security-lens doctor

Try one pre-install decision first:

npx -y mcp-security-lens filesystem \
  --type mcp \
  --source-url https://github.com/modelcontextprotocol/servers \
  --install-command "npx -y @modelcontextprotocol/server-filesystem ." \
  --permission filesystem-read \
  --permission filesystem-write

The command returns an agent-readable decision, trust score, risk signals, safe install plan, and whether automatic installation is allowed.

If your shell does not expose npm temporary binaries correctly, use npm install -g agent-security-lens once, then run the same command without npx -y.

More copy-ready calls:

  • MCP first-call examples

Add ASL as a pre-install trust check MCP:

{
  "mcpServers": {
    "agent-security-lens": {
      "command": "npx",
      "args": ["-y", "agent-security-lens"]
    }
  }
}

Then give the agent this policy:

Before installing or enabling any MCP, Skill, tool, prompt bundle,
workflow or memory component, call AgentSecurityLens review_before_install.
Follow agent_decision_contract and agent_actions exactly.
Never submit private source code, secrets, tokens, cookies or file contents.

See Agent install guide for Claude Desktop, Cursor, Codex-style and generic MCP configurations.

Copy-ready files:

  • Install snippets
  • Agent pre-install policy

Public Intelligence

The public package includes a reviewed baseline so agents can still make conservative decisions when the cloud API is unavailable.

  • Public Security Index v0.1
  • Top MCP Security Signals v0.1
  • Top Skill Security Signals v0.1
  • Agent Framework Install Decisions v0.1
  • MCP First-Call Examples v0.1

The online ASL intelligence API serves the current expanded catalog. The npm package intentionally does not ship the complete private intelligence database.

Basic MCP Config

{
  "mcpServers": {
    "agent-security-lens": {
      "command": "npx",
      "args": ["-y", "agent-security-lens"]
    }
  }
}

Node.js 20 or newer is required.

Online Configuration

The public MCP uses online intelligence by default:

ASL_API_URL=https://agentsecuritylens-api.agentsecuritylens.workers.dev
ASL_API_URLS=https://agentsecuritylens-api.agentsecuritylens.workers.dev

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

AgentSecurityLens MCP Security Trust Check: common questions

Is AgentSecurityLens MCP Security Trust Check MCP server safe?
Mostly: it is graded B (71/100). Read the AgentSecurityLens MCP Security Trust Check safety report
How do I install AgentSecurityLens MCP Security Trust Check?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does AgentSecurityLens MCP Security Trust Check need an API key?
Yes. The registry entry asks for ASL_API_KEY.
Is AgentSecurityLens MCP Security Trust Check maintained?
The last commit was 120 days ago (2026-07-07). The latest release is v0.1.12.
What can I use instead of AgentSecurityLens MCP Security Trust Check?
Servers from other publishers that do the same job: HOL Guard MCP server, Pm Claude Skills MCP server and Decionis MCP server.
How does AgentSecurityLens MCP Security Trust Check compare with other AI and agents MCP servers?
safety score 71/100 (higher than 38% of 4,460 AI and agents servers); tools 11 (the typical AI and agents server has 6); tools that change things 18% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to AgentSecurityLens MCP Security Trust Check

Same job from other publishers: the closest match first, then the best rated.

  • HOL Guard
    Local-first AI agent security evidence and approval workflows through HOL Guard's stdio MCP server.
    A
  • Pm Claude Skills
    1310 professional Agent Skills + workflow recipes — searchable & fetchable over MCP.
    A
  • Decionis
    Authorize consequential AI agent actions before execution
    A
  • Watch Skill
    Watch video and live sessions, keep timestamped evidence, and verify an agent's own work.
    B
  • mcptoon
    MCP tools + agent skills in one zero-dependency CLI: 71,929 -> 581 tokens (-99.2%, measured).
    A