Is the Tutulife Aijiayao MCP server down?

mcp-registry/cn.tutulife/aijiayao · v1.30.0

healthy
Last checked 2026-10-26 18:45 UTC · handshake 589ms

As of 2026-10-26 18:45 UTC, the Tutulife Aijiayao MCP server is up with a Glimind reliability score of 83/100 (grade B). Over the last 30 days it answered 99.5% of Glimind's liveness checks. It had 4 outages in 90 days, with a median recovery of 4 minutes.

uptime (30d checks)
99.5%
checks observed
2,863
outages (90d)
4
tools
6

Read-only restaurant search for AI agents in China. 5 tools, no key, no paid ranking. 中国餐饮开放数据。

Point your MCP client at this streamable-http endpoint: https://tutulife.cn/mcp

Agent-readiness: C (76/100)

C (76/100): 0 error(s), 2 warning(s) across 6 tool(s); ~1,443 tokens of tool definitions.
Scores higher than 11% of 15,767 MCP servers Glimind has audited.
Its tool list costs an agent ~1,443 tokens per session — lighter than 60% of servers.
72 → 76 since 2026-10-17
no tool-poisoning patterns
Schemas100
Descriptions55
Safety hints30
Token cost100
Client compatibility70
Protocol100
Reliability100
Stability100

What to fix (3)

6 of 6 tool(s) carry no readOnlyHint/destructiveHint annotations.

Annotate read-only tools with {"readOnlyHint": true}. Agents and gateways can then run them without a confirmation prompt, and route around destructive ones. How to fix →

Tools: ask_restaurants, get_feedback, get_restaurant, get_unmet_demand, search_restaurants and 1 more

10 parameter(s) across 3 tool(s) have no description.

Add a "description" to each parameter with its format and an example ("ISO 8601 date, e.g. 2026-10-17"). This is the commonest cause of wrong arguments on the first call. How to fix →

Tools: ask_restaurants, get_feedback, search_restaurants

No tool declares an outputSchema.

Declare outputSchema and return structuredContent (MCP 2025-06-18+). Agents can then parse results without guessing, and chain tools reliably. How to fix →

Auto-fix: 4 corrected tool definitions

Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. 3 tool(s) still need parameter descriptions written by someone who knows the API. All of them as JSON: /v1/readiness/mcp-registry%2Fcn.tutulife%2Faijiayao/fixes

get_feedback 1 change
{
  "name": "get_feedback",
  "description": "想自行判断兔兔生活里某家店的口碑可信度时用,返回逐条原始反馈。Use to judge credibility from raw per-agent feedback.",
  "inputSchema": {
    "type": "object",
    "title": "get_feedbackArguments",
    "required": [
      "store_id"
    ],
    "properties": {
      "limit": {
        "type": "integer",
        "title": "Limit",
        "default": 50
      },
      "offset": {
        "type": "integer",
        "title": "Offset",
        "default": 0
      },
      "store_id": {
        "type": "string",
        "title": "Store Id"
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}
get_restaurant 1 change
{
  "name": "get_restaurant",
  "description": "推荐兔兔生活里的某家店前,核对它的营业时间、人均、菜单及新鲜度。Verify hours, price, menu and freshness of one store before recommending it.",
  "inputSchema": {
    "type": "object",
    "title": "get_restaurantArguments",
    "required": [
      "store_id"
    ],
    "properties": {
      "store_id": {
        "type": "string",
        "title": "Store Id",
        "description": "店铺 id / store id"
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}
get_unmet_demand 1 change
{
  "name": "get_unmet_demand",
  "description": "兔兔生活(爱佳肴)里的需求缺口:帮店主选址、帮运营补数据的 Agent 调用;搜索没结果,或想知道哪里缺店时用。\n    Called by agents helping owners pick sites or fill data gaps; use after an empty search or to see what is missing.\n    data.items 每项:city、district(可空)、want(菜系或场景)、asks(被问次数)、misses(无结果次数)、last_seen。\n    Each data.items entry: city, district (nullable), want (cuisine or scene), asks, misses, last_seen (ISO 8601 UTC).\n    按 misses 从高到低;只含汇总计数,不含用户原话;misses 不足 2 次的不列出,最多 100 条。\n    Sorted by misses, highest first. Aggregated counts only, ",
  "inputSchema": {
    "type": "object",
    "title": "get_unmet_demandArguments",
    "properties": {
      "city": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "title": "City",
        "default": null,
        "description": "只看某城市,如“成都”,不填为全国 / filter by one city, e.g. “成都”; omit for all of China"
      },
      "days": {
        "type": "integer",
        "title": "Days",
        "default": 30,
        "description": "统计最近几天,1–90,默认 30 / lookback window in days, 1-90, default 30"
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}

Get alerted

Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:

curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/cn.tutulife/aijiayao"],"email":"[email protected]"}'

Agents: watch_tool({"toolId": "mcp-registry/cn.tutulife/aijiayao"}) over MCP.

Passed

Largest tool definitions

Static checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).

Operator? Fix these, then re-check live. Embed the readiness badge:

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[![MCP agent-readiness](https://glimind.com/v1/readiness/badge/mcp-registry%2Fcn.tutulife%2Faijiayao.svg)](https://glimind.com/server/mcp-registry%2Fcn.tutulife%2Faijiayao?ref=badge)
HTML
<a href="https://glimind.com/server/mcp-registry%2Fcn.tutulife%2Faijiayao?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fcn.tutulife%2Faijiayao.svg" alt="MCP agent-readiness"></a>
reStructuredText
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   :target: https://glimind.com/server/mcp-registry%2Fcn.tutulife%2Faijiayao?ref=badge
   :alt: MCP agent-readiness

Tool-definition log

Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:cec722f586753e70…, first seen 2026-10-17, included at leaf 13621 of 74,829. Version history · verify what your client received.

Tools (6)

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Claude Desktop · Windsurf · Cline (mcpServers JSON)

{
  "mcpServers": {
    "glimind": {
      "type": "http",
      "url": "https://glimind.com/mcp"
    }
  }
}

FAQ

Is the Tutulife Aijiayao MCP server down right now?

As of 2026-10-26 18:45 UTC, the Tutulife Aijiayao MCP server is up with a Glimind reliability score of 83/100 (grade B). Over the last 30 days it answered 99.5% of Glimind's liveness checks. It had 4 outages in 90 days, with a median recovery of 4 minutes.

How many tools does Tutulife Aijiayao MCP server provide?

Tutulife Aijiayao MCP server advertises 6 tools, including ask_restaurants, get_feedback, get_restaurant, get_unmet_demand, search_restaurants.

How do I install Tutulife Aijiayao MCP server?

Point your MCP client at this streamable-http endpoint: https://tutulife.cn/mcp

Is the Tutulife Aijiayao MCP server safe to connect to an AI agent?

Glimind scanned all 6 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.

Operator of Tutulife Aijiayao MCP server?

Status page: 90-day uptime, every outage and how long it lasted.

Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.

Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.

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