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Enterprise AI Control Plane — governance layer between your AI applications and providers (OpenAI, Anthropic, Google, Mistral, and more). Spend tracking, runtim
Enterprise AI Control Plane — governance layer between your AI applications and providers (OpenAI, Anthropic, Google, Mistral, and more). Spend tracking, runtime guardrails, policy enforcement, hard budget limits, compliance readiness (SOC2/GDPR/HIPAA), and real-time provider health.
Run in your terminal:
claude mcp add control-plane -- npx -y @smithery/cli run thinkneo-ai/control-planeWeb content fetching and conversion for efficient LLM usage.
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
by modelcontextprotocolProvides auto-configuration for setting up an MCP server in Spring Boot applications.
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
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