Connect

8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "alcbar-ai-risk-check": {
      "type": "http",
      "url": "https://mcp.alcbar.com/mcp"
    }
  }
}

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

[mcp_servers.alcbar-ai-risk-check]
url = "https://mcp.alcbar.com/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "alcbar-ai-risk-check": {
      "type": "remote",
      "url": "https://mcp.alcbar.com/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "alcbar-ai-risk-check": {
      "type": "http",
      "url": "https://mcp.alcbar.com/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=alcbar-ai-risk-check&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLmFsY2Jhci5jb20vbWNwIn0%3D"
}

{
  "servers": {
    "alcbar-ai-risk-check": {
      "type": "http",
      "url": "https://mcp.alcbar.com/mcp"
    }
  }
}

{
  "mcpServers": {
    "alcbar-ai-risk-check": {
      "httpUrl": "https://mcp.alcbar.com/mcp"
    }
  }
}

extensions:
  "alcbar-ai-risk-check":
    enabled: true
    name: "alcbar-ai-risk-check"
    type: streamable_http
    uri: "https://mcp.alcbar.com/mcp"
    timeout: 300

Quality 89 / 100new

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene100 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations3 of 3 tools declare readOnlyHint or destructiveHint
pass
tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
pass
tools.token_costabout 507 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stabilityn/a · weight 15

n/a
stability.changes, stability.rug_pulltool history recorded for 1 of the 7 days needed

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

3 tools, about 507 tokens to load them all · tool set 8417aefb94f5 · checked 2026-10-19 13:05 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 80 / 100

no-repository

provenance45

liveness100

freshness100

hygiene80

+website +reachable +uptime-100% +updated-2d-ago -no-repository

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://mcp.alcbar.com/mcp` streamable-http	none	yes	100%	255 ms	2025-11-25	2026-10-19

Tools (3)

`explain_ai_ethics_duties`read-only	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.
`get_risk_check_questions`read-only	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.
`score_ai_practice_risk`read-only	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.

Schemas: list_tools.

Similar MCP servers

More from io.github.sustany

Official server.json

{
  "name": "io.github.sustany/alcbar-ai-risk-check",
  "title": "ALCBar AI Practice Risk Check",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://mcp.alcbar.com/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.0.0",
  "websiteUrl": "https://alcbar.com",
  "description": "Free 12-question check of how safely a U.S. law firm uses generative AI, scored out of 100."
}