Are your GenAI platforms struggling to make tools from multiple providers behave like one coherent system?
As MCP adoption grows, teams that can standardize tool protocols, unify telemetry, and coordinate safety across providers will deliver more reliable, governable, and portable GenAI experiences.
To win, your GenAI solutions need to orchestrate tools across providers through a unified, observable MCP layer.
The Challenge
Without a strong approach to MCP-driven co-processing, teams struggle to:
- Juggle incompatible formats - Each provider ships its own tool spec, auth model, and logging conventions.
- Maintain fragile integrations - One-off adapters, duplicated governance, and ad hoc patterns break under change.
- See end-to-end behavior - No single view of how tools are invoked, fail, or misbehave across assistants and environments.
These gaps drive quality issues, operational risk, and slow, brittle multi-provider platforms.
Our Solution
In this hands-on workshop, your team designs and implements cross-provider MCP tool workflows, building a unified tool mesh with shared telemetry and safety controls. Areas of focus include:
- MCP Fundamentals in Practice - Apply the MCP mental model from tool discovery through structured responses.
- Consuming MCP-Hosted Tools - Wire assistants to invoke cross-provider tools with consistent patterns.
- Exposing Internal Tools via MCP - Wrap internal services with clear schemas, capabilities, and permissions.
- Unified Telemetry, Safety, and Governance - Normalize logs and guardrails so behavior stays consistent across providers.
- Applied Co-Processing Labs - Build and validate end-to-end multi-tool, multi-model scenarios using MCP.
Skills You'll Gain
- Unified Tool Architecture - Design an MCP-based tool mesh that replaces one-off integrations with a coherent strategy.
- Faster Multi-Provider Delivery - Standardize onboarding for new tools and providers without rethinking auth or schemas.
- Stronger Governance and Safety - Apply consistent access controls, policies, and guardrails across assistants and environments.
- Richer Observability - Instrument and read end-to-end telemetry to understand tool usage, failures, and performance.
- Higher Platform Readiness - Equip your platform team to support production-grade MCP workloads at scale.
Who Should Attend:
Solution Essentials
Format
Virtual or in-person
Duration
4 Hours
Skill Level
Comfortable with APIs, JSON, and basic GenAI tool calling
Tools
Jupyter notebooks, MCP-compatible runtimes, and sample multi-provider tool configurations
Explore the Remaining Advanced GenAI Tools Certification Workshops
Help your teams master advanced GenAI Tool concepts and solutions. Click below to explore the remaining workshops in the Advanced GenAI Tools certification series.
Orchestration & Control
Monitoring, Reliability & Change Management
Explainability & Customization
Self-Tuning / Adaptive Tool Invocation
Tool Cost & Resource Optimization