mcp-registry/io.github.ai-mentor-bot/aidish · v1.0.0
As of 2026-10-23 05:29 UTC, the Ai Mentor Bot Aidish MCP server is up with a Glimind reliability score of 100/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks.
Pickup orders at Japanese restaurants for AI agents: find stores, read menus, place orders. No auth.
Claude Code
claude mcp add --transport http ai-mentor-bot-aidish-mcp-server https://aidish-app.onrender.com/mcp
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"ai-mentor-bot-aidish-mcp-server": {
"type": "http",
"url": "https://aidish-app.onrender.com/mcp"
}
}
}
Third-party server, listed as discovered. Review its source before installing.
4 of 4 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 →
3 parameter(s) across 1 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 →
1 tool(s) look like they change state (create/send/delete/pay…) but declare no destructiveHint.
Set annotations {"readOnlyHint": false, "destructiveHint": true|false, "idempotentHint": …}. Clients use these to ask the user before a side effect and to auto-approve safe reads. How to fix →
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 →
Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. 1 tool(s) still need parameter descriptions written by someone who knows the API. All of them as JSON: /v1/readiness/mcp-registry%2Fio.github.ai-mentor-bot%2Faidish/fixes
{
"name": "check_pickup_availability",
"description": "今この店が受取注文(テイクアウト)を受け付けているか、最短の受取時刻、店の連絡先を返す。",
"inputSchema": {
"type": "object",
"properties": {
"tenant_id": {
"type": "string",
"description": "店舗ID(省略時は既定店)"
}
}
},
"annotations": {
"readOnlyHint": true
}
}{
"name": "find_stores",
"description": "AIから受取注文できる店を探す(店名・料理の種類・エリアで絞る)。tenant_id が分からない時は最初にこれを呼び、利用者に店を選んでもらう。",
"inputSchema": {
"type": "object",
"properties": {
"q": {
"type": "string",
"maxLength": 40,
"description": "店名や料理の種類の一部(例: ピザ・ナポリ)"
},
"area": {
"type": "string",
"maxLength": 40,
"description": "エリア(例: 世田谷)"
}
}
},
"annotations": {
"readOnlyHint": true
}
}{
"name": "list_menu",
"description": "店のお品書き(公開中の商品・税込価格・説明・オプション)を返す。注文の前に必ずこれで menu_id を確かめる。",
"inputSchema": {
"type": "object",
"properties": {
"tenant_id": {
"type": "string",
"description": "店舗ID(省略時はこのサーバーの既定店)"
}
}
},
"annotations": {
"readOnlyHint": true
}
}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/io.github.ai-mentor-bot/aidish"],"email":"[email protected]"}'Agents: watch_tool({"toolId": "mcp-registry/io.github.ai-mentor-bot/aidish"}) over MCP.
place_pickup_order ~241 tokensfind_stores ~85 tokenslist_menu ~58 tokenscheck_pickup_availability ~57 tokensStatic 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:
[](https://glimind.com/server/mcp-registry%2Fio.github.ai-mentor-bot%2Faidish?ref=badge)
<a href="https://glimind.com/server/mcp-registry%2Fio.github.ai-mentor-bot%2Faidish?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.ai-mentor-bot%2Faidish.svg" alt="MCP agent-readiness"></a>
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.ai-mentor-bot%2Faidish.svg :target: https://glimind.com/server/mcp-registry%2Fio.github.ai-mentor-bot%2Faidish?ref=badge :alt: MCP agent-readiness
Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:c73c1abd9d99df70…, first seen 2026-10-17, included at leaf 14489 of 50,247. Version history · verify what your client received.
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Glimind tells agents whether a server is up right now and how to call it, then fails over to a live alternative when it isn't.
Claude Code
claude mcp add --transport http glimind https://glimind.com/mcp
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"glimind": {
"type": "http",
"url": "https://glimind.com/mcp"
}
}
}
As of 2026-10-23 05:29 UTC, the Ai Mentor Bot Aidish MCP server is up with a Glimind reliability score of 100/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks.
Ai Mentor Bot Aidish MCP server advertises 4 tools, including check_pickup_availability, find_stores, list_menu, place_pickup_order.
Point your MCP client at this streamable-http endpoint: https://aidish-app.onrender.com/mcp
Glimind scanned all 4 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.
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.