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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "ai-visibility": {
      "type": "http",
      "url": "https://tofubofu.com/mcp"
    }
  }
}

claude mcp add --transport http ai-visibility https://tofubofu.com/mcp

[mcp_servers.ai-visibility]
url = "https://tofubofu.com/mcp"

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

{
  "mcpServers": {
    "ai-visibility": {
      "type": "http",
      "url": "https://tofubofu.com/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=ai-visibility&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vdG9mdWJvZnUuY29tL21jcCJ9"
}

{
  "servers": {
    "ai-visibility": {
      "type": "http",
      "url": "https://tofubofu.com/mcp"
    }
  }
}

{
  "mcpServers": {
    "ai-visibility": {
      "httpUrl": "https://tofubofu.com/mcp"
    }
  }
}

extensions:
  "ai-visibility":
    enabled: true
    name: "ai-visibility"
    type: streamable_http
    uri: "https://tofubofu.com/mcp"
    timeout: 300

Quality 85 / 100good

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 hygiene86 · weight 30

pass
tools.descriptionsevery tool has a description
warn
tools.description_length1 tools have descriptions over 1,024 characters, which crowds the context
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations2 of 2 tools declare readOnlyHint or destructiveHint
warn
tools.directory_hints1 of 2 tools declare all four hints; missing: get_visibility_report (destructiveHint, idempotentHint)
pass
tools.token_costabout 1,438 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changes1 tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

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

2 tools, about 1,438 tokens to load them all · tool set 9b822c6d6be9 · tools last changed 2026-09-25 · checked 2026-10-20 19:10 UTC

Tool changes

2026-09-25scan_ai_visibilitychangedinput schema

Full history: list_changes · trend: quality JSON.

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 73 / 100

no-repository

provenance45

liveness100

freshness65

hygiene80

+dns-namespace +reachable +uptime-100% ~updated-96d-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://tofubofu.com/mcp` streamable-http	none	yes	100%	213 ms	2025-11-25	2026-10-20

Tools (2)

get_visibility_reportread-only Fetch the results of an AI-visibility scan started with scan_ai_visibility. Args: report_id: The id returned by scan_ai_visibility. Returns: While running: {status: "running", progress}. When done: the visibility score, how often AI mentions the brand, share of voice, top competitors winning the answers, and the highest-priority fixes, plus the report_url.

scan_ai_visibility Start a free AI-visibility scan for a B2B company's website. Checks how often AI engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Mode, Microsoft Copilot) name the company when buyers ask for vendor recommendations, and finds the gaps. The scan runs in the background (roughly 1-2 minutes); call get_visibility_report with the returned report_id to read the score and findings. ASK THE USER for geo_scope and sells_to before calling, if you do not already know them. Everything past `email` is optional and the scan runs without it, but geo_scope changes EVERY question we generate: a firm that sells across one country, scored on one city's questions, looks invisible when it is not. Guessing is worse than asking, and asking costs one line of conversation. Where you do not know, omit the field rather than inventing a plausible value: an omitted field is recorded as unknown, and the report says its framing was assumed. Every parameter carries its own description, generated from the one intake contract the in-app scan form renders from, so what you are told here and what a customer is asked are the same question. Returns: report_id, a report_url to view live, whether an existing report was reused (free scan already used this month), and which intake answers were missing, so you can offer to re-run with them.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "com.tofubofu/ai-visibility",
  "title": "TofuBofu AI Visibility",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://tofubofu.com/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.0.0",
  "description": "Free AI visibility scan for any B2B company: see how often AI engines recommend it, plus the fixes."
}