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MCP server · Code & DevOps

ALCBar AI Practice Risk Check

By sustany

Free 12-question check of how safely a U.S. law firm uses generative AI, scored out of 100.

WebsiteSource code
Connect to ALCBar AI Practice Risk Check
Checks passed
12 / 22

2 failed · 8 not measured

Median response
312 ms

Median of successful probes over 7 days

30-day uptime
Not measured

Share of countable probes over 30 days, including daily rollups. Auth challenges are excluded.

Discovered tools
3

Tool definitions returned by this server

Independent monitoring

Health & checks

Status history

Outdated check

Last connection measurement is over 24 hours old. Current availability is unknown.

Last checked
Check summary by test group
Test areaPassedFailedUnmeasured
ConnectionCan a client connect and discover tools?
500
Reliability & speedDoes it respond consistently and quickly?
004
Access & authenticationWhat is required to use this server?
102
Tool qualityAre the tool definitions usable by an agent?
400
Publisher identityCan the publisher be traced to its source?
222

Unmeasured means there is not enough evidence to decide. How these checks work

Inspect individual checks 22 recorded

Core

  • Pass
    Reachable

    Latest probe returned HTTP 200 in 312 ms.

  • Pass
    Valid handshake

    protocolVersion 2025-11-25, serverInfo.name esq-ai-practice-risk-check.

  • Pass
    Lists tools

    tools/list returned 3 tools.

  • Pass
    Current protocol

    Negotiated 2025-11-25. The bar is 2025-06-18 or newer.

  • Pass
    HTTPS

    The endpoint URL is https.

Performance

  • Not measured
    Fast (p50)

    Median latency 312 ms over 1 samples in 7 days. The bar is 1000 ms. Need at least 5 samples.

  • Not measured
    Consistent (p95)

    95th percentile 312 ms over 1 samples in 7 days. The bar is 3000 ms. Need at least 20 samples.

  • Not measured
    Reliable (uptime)

    1 of 1 attempts returned a tool list in 30 days (100%). The bar is 99%. Need at least 30 samples.

  • Not measured
    Stable tool list

    Fewer than two successful probes in 30 days, so tool-list stability is not measured.

Access

  • Pass
    Open access

    tools/list succeeded with no credential, and the record declares none.

  • Not measured
    Standard auth

    Auth is not required, so the OAuth metadata check does not apply.

  • Not measured
    Free tier cited

    No publisher quote has been checked.

Tools

  • Pass
    Tools described

    Every tool description is at least 20 characters.

  • Pass
    Valid input schemas

    Every inputSchema is a JSON Schema object.

  • Pass
    Parameters documented

    2 of 2 parameters have a description (100%). The bar is 80%.

  • Pass
    Safety hints

    Every tool sets readOnlyHint or destructiveHint.

Publisher

  • Pass
    Verified namespace

    Listed in the Official MCP Registry.

  • Not measured
    Website matches publisher

    This namespace is not a reverse domain, so the website comparison does not apply.

  • Fail
    Source repo linked

    No repository URL is on file.

  • Fail
    Repo owner matches

    The GitHub repository owner does not match the namespace login.

  • Pass
    Recently updated

    Updated 2026-10-17T22:14:36.55285Z, within 180 days.

  • Not measured
    Open-source licence

    No GitHub repository to ask about a licence.

Start using ALCBar AI Practice Risk Check

Connect to this server

Choose your client, copy the configuration, then enable the server in your client’s MCP settings.

Run this command in your terminal, then restart Claude Code.

Claude Code

claude mcp add --transport http alcbar-ai-practice-risk-check https://mcp.alcbar.com/mcp

Capabilities

Tools 3

explain_ai_ethics_duties

Use when a U.S. lawyer asks what ethics duties apply to using generative AI. Gives a short, general summary of the duties covered by ABA Formal Opinion 512 (July 29, 2024): competence, confidentiality, communication, candor, supervision and fees. States adopt their own rules and guidance, so always tell the user to check their own jurisdiction.

Discovered
get_risk_check_questions

Use when a U.S. lawyer or law firm wants to check how safely their firm uses generative AI. Returns the 12 questions, each with options a, b and c. Ask the user every question, then call score_ai_practice_risk with their answers.

Discovered
score_ai_practice_risk

Scores the 12 AI Practice Risk Check answers from get_risk_check_questions. Returns a score out of 100 (higher is better), results in seven areas (ethics, confidentiality, verification, supervision, vendor risk, cybersecurity, competitive readiness), the three weakest areas with one next step each, and a link to the full report. Answers are not stored. Show only what this tool returns, follow its instructions_for_assistant, and do not add your own action plan or advice.

Discovered

Recent measurements

Probe history

View status
Latest stored probes. Raw probe rows are kept for 14 days.
CheckedResultResponseTools
Connected312 ms3

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