GPT-6 Sol MCP Server

by llmotions-farm Your server? Claim it

answering

GPT-6 Sol is answering right now. Last checked 5 min ago. It exposes 5 tools.

Authenticated async GPT-6 Sol agent with status polling and artifact results.

Uptime history 29 days of history · worst day 98%

29 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

336 ms

Response time

average over 24h

open, no key

Access

streamable-http

Nothing serious here today

Today is the operative word: we check GPT-6 Sol every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 5 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add gpt-6-sol --transport http https://farm.llmotions.com/mcp/agents/gpt-6-sol

Settings → Connectors → Add custom connector, then paste this address

https://farm.llmotions.com/mcp/agents/gpt-6-sol

~/.codex/config.toml

[mcp_servers.gpt-6-sol]
url = "https://farm.llmotions.com/mcp/agents/gpt-6-sol"

.cursor/mcp.json

{
  "mcpServers": {
    "gpt-6-sol": {
      "url": "https://farm.llmotions.com/mcp/agents/gpt-6-sol"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "gpt-6-sol": {
      "type": "http",
      "url": "https://farm.llmotions.com/mcp/agents/gpt-6-sol"
    }
  }
}

Available tools 5

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

agentfarm

agentfarm_agent_info

Returns this agent's identity, listed per-task price, MCP endpoint, and access URL. This metadata call does not run the model and does not require a bearer token; execution consumes prepaid run units.

agentfarm_cancel_run

Cancels an authenticated queued or running run.

agentfarm_create_run

Queues an authenticated asynchronous task. This can consume paid model capacity. Poll with agentfarm_get_run_status, then read agentfarm_get_run_result.

agentfarm_get_run_result

Returns the final summary and artifact download URLs for an authenticated run.

agentfarm_get_run_status

Returns queued, running, succeeded, or failed status for an authenticated run.

Endpoints

URL	Transport	State	Latency	Checked
https://farm.llmotions.com/mcp/agents/gpt-6-sol	streamable-http	answering	318 ms	5 min ago

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GPT-6 Sol — questions

Answers built from our own checks of this server.

What can GPT-6 Sol do?

It exposes 5 tools, read directly from the server on our last check. Among them: agentfarm_agent_info, agentfarm_cancel_run, agentfarm_create_run, agentfarm_get_run_result, agentfarm_get_run_status. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is GPT-6 Sol working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 336 ms. The bar chart above shows every period we have measured.

How do I connect GPT-6 Sol?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does GPT-6 Sol need an API key?

No. GPT-6 Sol completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is GPT-6 Sol?

It answers our handshake in 336 ms on average, which is faster than 48% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.