InvGate Asset Management can now act as a Model Context Protocol (MCP) server so the AI assistant your team already uses can query live inventory records directly, without exports or custom middleware.
The connection exposes the product’s existing data model (hardware, cloud assets, databases, business apps) with software, contracts, and vendors listed as coming soon.
Assistants can use plain-language questions because MCP surface the product’s search and filtering logic — no schema knowledge required.
# What changed InvGate Asset Management now runs as an MCP server. MCP, an open standard, lets external AI applications connect to systems and read contextual data. With this release, an AI assistant your team already uses can query your inventory records directly instead of requiring a custom integration or data export first.
# What the connection exposes InvGate's existing data model. The release specifically includes:
InvGate lists software, contracts, and vendors as coming in later updates.
No data is copied or restructured to make it reachable. The assistant reads the records where they already live in the product.
# in practice InvGate makes its internal search and filtering logic available through MCP. That lets the assistant accept plain-language questions instead of requiring the user or the assistant to know the product schema or to write specialized queries. In short, you can ask the assistant about inventory items and rely on the same search semantics InvGate uses internally.
Examples of practical outcomes you can expect today include asking the assistant to find specific hardware, locate cloud resources, or surface database records tied to services. The release notes describe that the assistant can use the product's built-in filters and search behavior via MCP.
# Relationship to existing APIs and integrations This MCP capability is an addition to InvGate's existing integrations and public API. It provides another access path aimed specifically at conversational assistants and other AI applications that speak MCP, reducing the need to build or maintain custom connectors for those use cases.
# How InvGate rolled it out InvGate introduced the capability at ENVISION'26, the company's global user conference. The blog post positions MCP support as part of a set of product announcements that included multiple updates across asset and service management.
# What to expect next InvGate says it will expand the set of asset types accessible through MCP. Software, contracts, and vendors are explicitly called out as coming in future updates. The product roadmap implication is continued widening of the inventory types available to connected assistants.
# Practical considerations for teams Teams that already use AI assistants that support MCP can connect them to InvGate Asset Management to enable direct queries against live records. Organizations that rely on custom middleware or scheduled exports for assistant-driven workflows may be able to simplify architecture by switching to an MCP connection instead.
# Bottom line
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