Model Context Protocol
By leveraging MCP, users can unlock the full potential of their AI model, transforming it into a versatile assistant capable of handling complex workflows and integrations.
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Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a powerful framework designed to enable seamless interaction between users and AI models. MCP provides a structured way to define, manage, and execute actions or tools within a given context. By leveraging MCP, users can extend the capabilities of AI models to perform specific tasks, automate workflows, and integrate external systems or APIs.
MCP is particularly useful for users who want to customize their AI experience by adding new tools, editing existing ones, or interacting with external services. It ensures that the AI model operates within a well-defined context, making interactions more predictable and efficient.
MCP Offerings
Hosted MCPs
Our hosted MCPs are enterprise-grade, pre-built solutions developed and maintained by Ask Sage. These MCPs are designed to address common business use cases and provide reliable integrations with popular platforms and services.
Available Integrations: Microsoft 365, GitHub, and more to come!
Requirements & Access
- Account Type: Enterprise account or dedicated Ask Sage tenant/instance required
- Activation Process: Contact your administrator to request hosted MCP access through Ask Sage support at support@asksage.ai
Custom MCPs
Platform Availability: This feature is currently exclusive to our .AI tenant https://chat.asksage.ai/. For all other tenants, custom MCP functionality requires administrative approval and whitelisting for each MCP implementation.
Custom MCPs are third-party solutions hosted outside of Ask Sage’s infrastructure. These MCPs provide organizations with the flexibility to create bespoke actions, tools, and workflows that align with their specific operational requirements.