MCP & Developer Access
Bring enterprise context to your AI tools.
Give an AI client a defined way to work with your enterprise context. MCP connects the client to Vivly’s tools, so business information can be used beyond a single chat interface.
Expose useful tools with clear boundaries.
A client should know what a tool can do and receive a result it can interpret. Keep the source, evidence and unresolved details with the response so the next step has enough context.
Connected questions
Ask about records made available to the workspace.
Saved investigations
Work with investigation results and supporting evidence where supported.
Scoped access
Bind tools to an authenticated identity and its permitted sources.
Keep permission decisions in the system.
A prompt is not a permission grant. Define access at the workspace and connector boundary. Reading a record and changing a record are separate capabilities, with review for enabled effects.
Build for the client your team uses.
Choose the AI client, transport and authentication flow together. Test tool discovery, allowed requests, denied requests and how results appear in that client before broader rollout.
Questions, answered.
Does any MCP client work automatically?
MCP provides a common protocol, but client authentication, transport and supported interactions differ. We validate the client and deployment used in your evaluation.
Does MCP bypass approvals?
No. Tool access does not itself approve a source change. The permitted actions and review flow are defined independently.
Planning an evaluation
Agree the scope before you start.
MCP capabilities depend on the selected runtime and client configuration. We validate the available tool set and identity model for your deployment.
Discuss your MCP integration