AI tools and managed MCP

Agent tooling, MCP servers, skills, prompts, and evaluation workflows operated with clear boundaries.

AI tools are useful only when they are bounded, observable, and safe to operate. Assistance helps teams expose selected tools to developers, copilots, and agents through scoped MCP servers, reusable prompts, procedural skills, and evaluation workflows.

Tooling catalogue#

Guide	Use it for
Managed MCP operations	Define server ownership, tool allowlists, credentials, audit logs, and support paths.
Bring your own MCP server	Package a product or internal system as a controlled MCP integration.
Agent plugins	Bundle approved tools and instructions for a specific workflow.
Agent skills	Give agents procedural guidance without granting extra authority.
AI prompts	Standardize prompts with versioning, review, and acceptance examples.
LLMOps evaluation playbook	Measure quality, safety, latency, and cost before rollout.

What Assistance operates#

Assistance can operate MCP servers, connector hosting, tool schemas, service credentials, audit logging, prompt/config repositories, evaluation datasets, dashboards, incident triage, and handoff runbooks for the agreed tool boundary.

What the customer owns#

The customer owns business approvals, source-system permissions, data classification, user access decisions, legal review, and product outcomes of tool use.

Safe-use requirements#

Use least-privilege tool scopes and separate development, staging, and production credentials.
Log tool caller, tenant/user context, approval state, request ID, and outcome.
Validate generated inputs before tools mutate data or call external systems.
Keep destructive tools behind explicit approval until operational evidence supports automation.
Review prompts, skills, and plugin bundles as production configuration.