
TofuBofu MCP server
Which MCP servers are TofuBofu's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-20
- Registry namecom.tofubofu/ai-visibilityverified in the MCP registry
The registry name sits under tofubofu.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-20
- Tools2
- Server calls itselfTofuBofu AI Visibility
- Server version1.28.1
- Protocol version2025-06-18
On 2026-10-20 the server answered initialize and tools/list without a sign-in. First answer in 83 ms.
- Whether its tools do the product's job has not been judged yet.
Once connected
- Parameters are untyped or undescribed in 1 of 3 tools: check arguments before calling.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP score98 of 100answers 100 · definitions 94 · context 100 · connects 100
- Answered100% of days7 of 7 daily checks
- Median first answer158 ms
- Space in an agent's context≈ 2,162 tokensthe definitions of all its tools (3), which an agent carries on every turn
- Tool definitionsA · 94 of 100
- Typed results0 of 3 toolsdeclared outputSchema: results come typed, read once
- Parameters without a description: in 1 of 3
What an agent can do with it
- not sure · check whether AI engines name your brand
- cannot · draft blog and FAQ pages AI engines can cite
- not sure · compare your brand against named rivals in AI answers
Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?
Worth a look
None of the five warning signs in these definitions.
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
scan_ai_visibilityStart 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…
get_visibility_reportFetch 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…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"ai-visibility": {
"type": "http",
"url": "https://tofubofu.com/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http tofubofu https://tofubofu.com/mcpclaude.ai, ChatGPT and other clients: add https://tofubofu.com/mcp as a custom connector in the settings.
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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