Run Any MCP as Agent (blog.inxm.ai)

The latest release of the Enterprise MCP Wrapper marks a significant evolution, transforming the platform into a versatile AI agent hosting solution designed for easy integration and deployment. By introducing three new key endpoints—including an A2A-compliant agent metadata descriptor, a JSON-RPC interoperability interface, and an OpenAI-compatible chat completion endpoint—the platform enables seamless agent creation and orchestration. This allows users to abstract away complex tool invocation logic, letting agents automatically manage workflows within MCP contexts, supporting models ranging from lightweight 8B parameters to larger architectures, and catering to both streaming and non-streaming chat interactions. What makes this release especially important for the AI/ML community is its focus on practical usability and enterprise readiness. The platform emphasizes transparency with built-in observability tools like Jaeger, allowing detailed tracing of every decision and action within agent workflows. This auditability addresses common enterprise concerns around debugging, optimization, and compliance, moving beyond "black box" AI to clear, accountable systems. Additionally, the inclusion of a PromptService to manage system prompts ensures agents start with well-defined operational contexts, enhancing their effectiveness and reliability. Overall, this is a compelling step toward making AI agents truly plug-and-play components within enterprise ecosystems. By combining rich interoperability standards, robust tooling, and a user-friendly developer experience, the Enterprise MCP Bridge sets a new standard for deploying tool-enabled AI agents—making sophisticated multi-step, agentic workflows more accessible, manageable, and transparent than ever before.