INDIVIDUAL MCP TOOL

thinkneo_benchmark_report

View the outcome benchmark matrix — real quality scores per provider/model/task_type based on verified outcomes, not static estimates.

thinkneo.ainone authenticationAvailability not checked

Input schema

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.thinkneo-control-plane]
url = "https://mcp.thinkneo.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "thinkneo-control-plane": {
      "type": "http",
      "url": "https://mcp.thinkneo.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: thinkneo-control-plane
Remote MCP URL: https://mcp.thinkneo.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "thinkneo-control-plane": {
      "url": "https://mcp.thinkneo.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "thinkneo-control-plane": {
      "type": "http",
      "url": "https://mcp.thinkneo.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "thinkneo-control-plane",
  "transport": "streamable-http",
  "url": "https://mcp.thinkneo.ai/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

thinkneo_check_spend — Check AI spend summary for a workspace, team, or project.
thinkneo_complete — Run a governed LLM completion through the ThinkNEO AI gateway.
thinkneo_read_memory — Read Claude Code project memory files.
thinkneo_write_memory — Write or update a Claude Code project memory file (.
thinkneo_evaluate_guardrail — Evaluate a prompt or text against ThinkNEO guardrail policies before sending it to an AI provider.
thinkneo_check — Free-tier prompt safety check.
thinkneo_check_policy — Check AI governance policies including model access, budget limits, data controls, and agent governance from the ThinkNEO gateway.
thinkneo_get_budget_status — Check AI budget status including spend vs limit, forecast, and chargeback data from the ThinkNEO gateway.