Building an MCP-Powered AI Agent for
Wowza Media Server Orchestration

Developed a cutting-edge Model Context Protocol (MCP) server that empowers AI agents to automate complex streaming workflows and media server management for Wowza, streamlining operational efficiency.

Industries

MEDIA STREAMING, AI, ENTERPRISE SOFTWARE

Services

MCP SERVER DEVELOPMENT, AI ORCHESTRATION, API ENGINEERING

Tools We Used

Python FastAPI, Google Agent Development Kit, Docker, Bash Scripting, MCP Protocol

Challenges

Mapping complex, multi-layered media server APIs to concise LLM-readable tool definitions.
Ensuring highly secure and accurate tool execution for critical production streaming operations.
Managing complex state synchronization between the AI agent and live Wowza server instances in real-time.
Standardizing deployment and configuration across diverse client environments and hybrid cloud setups.

Our Solution

01- MCP Server Core Implementation

Built a FastAPI-based server strictly following MCP specifications for seamless integration with AI agents.
Implemented automated tool discovery and schema generation from Wowza API endpoints.
Integrated robust authentication and permission layers for secure API access.

02- Specialized AI Tools & Actions

Engineered high-precision 'Actions' for complex tasks like creating, monitoring, and purging live streams.
Built specialized data retrieval tools for real-time server health and performance metrics.
Implemented validation layers to ensure AI-generated commands are safe for production.

03- Agentic Context Optimization

Advanced prompt engineering and context window management for media-specific troubleshooting.
Optimized resource retrieval (logs, metrics) to provide agents with relevant server state.
Implemented Docker-native deployment for reproducible and isolated AI execution environments.

Results

Fully automated stream lifecycle management via AI, reducing manual operational load.
90% reduction in manual configuration errors through deterministic tool execution.
Advanced scalability for enterprise-level streaming nodes and complex hybrid deployments.
Scalable framework established for future AI agent-driven media orchestration workflows.

Client Experience

Wowza's server management achieved a new level of intelligent automation:

Significantly faster time-to-market for complex streaming configurations.
Enhanced operational reliability and reduced mean-time-to-resolution (MTTR).
Future-proof architecture ready for the next wave of AI-native media services.

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Building an MCP-Powered AI Agent for Wowza Media Server Orchestration