mcp-registry/io.github.leonidahqadmin-cell/to1-fleet · v1.0.0
As of 2026-10-05 23:24 UTC, the Leonidahqadmin Cell To1 Fleet MCP server is unknown. Over the last 30 days it answered 0% of Glimind's liveness checks.
297 data tools across 90 MCP servers via one gateway. Free trial header; x402 USDC on Base.
Point your MCP client at this streamable-http endpoint: https://to1.deadbeatradar.com/mcp/fleet
The endpoint did not complete an MCP handshake.
Check the URL, TLS certificate and that the server answers a JSON-RPC "initialize" POST. How to fix →
294 of 294 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 →
294 tools on one server. Tool-selection accuracy drops as the menu grows, and some clients (e.g. Cursor) cap the number of active tools.
Group tools by task into smaller servers or toolsets, and merge near-duplicates behind one tool with a mode parameter. How to fix →
197 parameter(s) across 54 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 →
3 tool(s) have parameters with no type (no type/enum/anyOf/$ref).
Give every parameter a "type" (or "enum"/"anyOf"). Untyped parameters make models guess — strings for numbers, objects for arrays. How to fix →
3 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 →
Loading this server's tool list costs an agent ~37,733 tokens before any work — more than 99% of MCP servers.
Split rarely-used tools into a separate server or a toolset the client can enable, or expose one "search tools" entry point. Many agents load every connected server's tools into every request. How to fix →
Handshake + tools/list takes ~2,272 ms.
Serve tools/list from memory, keep the process warm, and host close to your users. Every new agent session pays this before its first call.
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. 54 tool(s) still need parameter descriptions written by someone who knows the API. All of them as JSON: /v1/readiness/mcp-registry%2Fio.github.leonidahqadmin-cell%2Fto1-fleet/fixes
{
"name": "activity-intel__get_activity_by_type",
"description": "[activity-intel] Get all activity suggestions matching a specific category. Valid types are: education, recreational, social, diy, charity, cooking, relaxation, music, and busywork. Use this when the user wants ideas within a particular theme, e.g. 'something relaxing' or 'a DIY project'.",
"inputSchema": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"enum": [
"education",
"recreational",
"social",
"diy",
"charity",
"cooking",
"relaxation",
"music",
"busywork"
],
"type": "string",
"description": "The activity category to filter by."
}
}
},
"annotations": {
"readOnlyHint": true
}
}{
"name": "activity-intel__get_random_activity",
"description": "[activity-intel] Get one completely random activity suggestion to fight boredom — includes the activity description, category type, number of participants, estimated cost, accessibility level, and duration. Use this when the user just wants a single spontaneous idea with no filters.",
"inputSchema": {
"type": "object",
"required": [],
"properties": {}
},
"annotations": {
"readOnlyHint": true
}
}{
"name": "advice-intel__get_advice",
"description": "[advice-intel] Get a random piece of wisdom or life advice from Advice Slip. Returns thoughtful, concise advice perfect for motivation, life coaching contexts, or adding wisdom to an AI response.",
"inputSchema": {
"type": "object",
"required": [],
"properties": {}
},
"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.leonidahqadmin-cell/to1-fleet"],"email":"[email protected]"}'Agents: watch_tool({"toolId": "mcp-registry/io.github.leonidahqadmin-cell/to1-fleet"}) over MCP.
flight-intel__get_all_aircraft_in_area ~345 tokenstrivia-intel__get_trivia ~295 tokensjoke-intel__get_joke ~286 tokensagent-tollbooth-intel__make_toll_policy ~285 tokensunit-intel__convert_unit ~256 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.leonidahqadmin-cell%2Fto1-fleet?ref=badge)
<a href="https://glimind.com/server/mcp-registry%2Fio.github.leonidahqadmin-cell%2Fto1-fleet?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.leonidahqadmin-cell%2Fto1-fleet.svg" alt="MCP agent-readiness"></a>
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.leonidahqadmin-cell%2Fto1-fleet.svg :target: https://glimind.com/server/mcp-registry%2Fio.github.leonidahqadmin-cell%2Fto1-fleet?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:dc2d3a456811352b…, first seen 2026-10-17, included at leaf 16029 of 27,688. 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 2026-10-05 23:24 UTC, the Leonidahqadmin Cell To1 Fleet MCP server is unknown. Over the last 30 days it answered 0% of Glimind's liveness checks.
Leonidahqadmin Cell To1 Fleet MCP server advertises 294 tools, including activity-intel__get_activity_by_type, activity-intel__get_random_activity, activity-intel__suggest_activity_for_group, advice-intel__get_advice, advice-intel__get_multiple_advice.
Point your MCP client at this streamable-http endpoint: https://to1.deadbeatradar.com/mcp/fleet
Glimind scanned all 294 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.