CUSTOM MCP + AGENT DELIVERY
SITEBORNE designs, secures, and deploys OpenAI Plugins, GPT Actions, Anthropic-compatible MCP servers, and reusable agent skills that turn approved tools and knowledge into repeatable workflows.
BUSINESS OUTCOME
A controlled agent capability that can find approved context, take specifically authorized actions, explain failure states, and move with the client instead of trapping the workflow inside one vendor.
Appropriate when a team wants an AI assistant to work with real business systems, but needs authentication, permissions, safe tool boundaries, evaluation, deployment, and documentation handled responsibly.
THREE DELIVERY SURFACES
The right surface depends on the tool, data, permission, audience, and approval boundary. SITEBORNE does not force every workflow into one model vendor or call an untested prompt an integration.
Build on OpenAI's current plugin packaging layer, which can combine reusable skills, MCP-based tools, authentication, and optional MCP Apps-compatible UI into one distributable unit shared across ChatGPT and Codex. Older 2023-era "ChatGPT plug-ins" are migrated to this current model rather than left as a separate, unsupported integration.
Connect a Custom GPT straight to an approved REST API through an OpenAPI contract, for the specific cases where Actions remain the correct, simpler delivery surface instead of a full plugin.
Design local or remote MCP servers that expose narrowly scoped tools, resources, or prompts to Claude, Claude Code, compatible clients, or a custom agent. Each tool receives a typed contract, permission boundary, failure path, and deployment record.
Turn a repeated workflow into a versioned skill with instructions, references, scripts, examples, validation, and a fresh-install check. Skills make good work repeatable without pretending every task should become an autonomous agent.
Architecture Lens
A controlled agent capability that can find approved context, take specifically authorized actions, explain failure states, and move with the client instead of trapping the workflow inside one vendor.
Implementation details: Business workflow and human-approval mapping before tool design, OpenAI Plugins, MCP-backed connectors, GPT Actions, and legacy 2023-era plug-in migration where supported, Local or remote MCP servers for Claude, Claude Code, compatible clients, and custom agents, Versioned agent skills for repeatable research, operations, content, and engineering workflows, OAuth, scoped API credentials, consent boundaries, audit-safe logging, and secret isolation, Cloudflare Worker deployment, health checks, rate controls, evaluation, and documented handoff. Security boundaries, monitoring, fallback, and migration are documented before launch.
WHAT THE SYSTEM DOES
HOW IT IS VERIFIED
The build favors narrow, typed tool contracts and human-approval boundaries over broad, unsupervised agent autonomy. Every authorized action is scoped, logged, and reversible where the workflow requires it.
Tool access is limited to what is explicitly authorized; workflows outside that scope require a documented scope change.
Ownership map
The working methods, reusable internal tooling, and clearly disclosed pre-existing intellectual property.
Accounts, domains, production data, approved source content, billing, recovery credentials, and the delivered project assets defined by contract.
Its platform, pricing, service limits, and terms. Every provider has a documented fallback and migration path.
After launch: the system can be maintained through SITEBORNE Care or transferred using the documented operating and migration procedures.
The project brief captures business context, desired capability, ownership, constraints, and likely next action without requiring an email to explore the site first.
Start the project brief