ThinkNEO Control Plane
Centralize AI spend caps, guardrails, and compliance checks before your agent stack scales past solo side-project territory.
Overview
ThinkNEO Control Plane is an Operate-phase MCP server that gives agents enterprise-style governance over AI spend, guardrails, policy, budgets, compliance, and provider health.
What is this MCP server?
- Remote streamable-http MCP at mcp.thinkneo.ai for agent-side governance calls
- Spend tracking, budgets, and guardrails for enterprise-style AI usage
- Policy and compliance hooks aligned with provider health monitoring
- ThinkNEO Control Plane v1.0.2 with GitHub source at thinkneo-ai/mcp-server
- Suited to teams or serious solo builders consolidating multiple AI vendors
- MCP manifest version 1.0.2
- 1 streamable-http remote endpoint (mcp.thinkneo.ai/mcp)
- Repository: github.com/thinkneo-ai/mcp-server
Community signal: 1 GitHub stars.
What problem does it solve?
LLM usage spreads across tools and sessions until you cannot see spend, enforce rules, or trust which providers are healthy.
Who is it for?
Indie founders or small teams running multiple AI providers who need budgets and guardrails before shipping customer-facing agent features.
Skip if: Hobbyists on one free-tier key with no compliance needs who only want a single codegen skill.
What do I get? / Deliverables
After wiring this MCP server, your agent can reason against centralized governance signals instead of guessing from local env vars alone.
- Registered remote MCP connection for governance tools
- Agent-callable spend, policy, and provider-health context
- Operational baseline for budgets and guardrails across sessions
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Journey fit
Governance, budgets, and provider health are ongoing production concerns once you route real traffic and dollars through LLM APIs. Infra is where policy enforcement, cost controls, and multi-provider routing live—not in a one-off build script.
How it compares
Remote governance MCP integration, not a local agent skill or a generic model API wrapper.
Common Questions / FAQ
Who is ThinkNEO Control Plane for?
Builders and small teams who treat AI like production infrastructure and need spend, policy, and provider health visible to their coding agent.
When should I use ThinkNEO Control Plane?
Use it when you operate multiple models or environments and want guardrails and budgets enforced before usage spikes post-launch.
How do I add ThinkNEO Control Plane to my agent?
Add the remote MCP entry pointing at https://mcp.thinkneo.ai/mcp (streamable-http) in your Claude Code, Cursor, or Windsurf MCP config per ThinkNEO docs.