Tool map
Exactly which APIs, tables, and actions the model may use — and which it may not.
Chat is not enough if the model cannot use your systems. We build Model Context Protocol servers so agents can read, write, and act — inside the limits you set.
MCP server integrations
MCP Server Integrations
Weeks to a production MCP server
Tools — not the whole database
Logs on every tool call
Clients — Claude, ChatGPT, in-house
The4Loop implements MCP server integrations for teams wiring Claude, ChatGPT, or in-house agents to CRMs, internal APIs, and knowledge bases. Custom MCP servers expose tools with auth, scopes, and logs. Pair them with an AI chatbot when the interface is conversation, or with n8n when the next step is a workflow.
Engagement
Figures describe typical ranges for this practice. Scope and numbers lock in discovery — not in the brochure.
Get a scoped quoteExactly which APIs, tables, and actions the model may use — and which it may not.
A production adapter: resources, tools, prompts — typed and versioned.
The agent inherits a user or a service identity. It does not get god mode.
Claude, ChatGPT, or your own agent runtime — connected and tested.
Prompt injections and over-reach cases we run before you hand it to the team.
Logging, rate limits, and a kill switch. Assistants that can act also need to stop.
We write the allow-list first. MCP without scopes is just a confused intern with prod access.
Tools and resources against your APIs. Types and errors the model can actually use.
One assistant in a controlled environment. We watch the traces.
Evals, logging, and the ability to disable a tool without a deploy panic.
Stack we use
Tools are chosen for the job — not for a logo wall. If a simpler stack is enough, we will say so.
The same senior team from brief through launch — on this practice and the ones around it.
“The4Loop behave like an embedded product team, not an agency on the sidelines — strategy, design, and engineering in one thread.”
CEO
“We needed craft and serious engineering in one partner. They shipped a web experience and a mobile suite that finally matched the ambition of the product.”
Founder
“Their AI practice is unusually pragmatic — clear guardrails, thoughtful UX for model outputs, and documentation a compliance team can actually use.”
CTO
Scope, timeline, and how the work actually runs — before you book a call.
Model Context Protocol is a standard for giving AI assistants structured access to tools and data. An MCP server is the adapter between the model and your systems.
Custom AI chatbots and GPT agents that answer customers, qualify leads, and support teams — with guardrails you can trust.
View servicen8n workflow automation that connects your tools — CRM, billing, support, and internal ops — without brittle glue code.
View serviceCustom web application development on modern stacks — dashboards, portals, and internal tools shaped around how you actually work.
View serviceTell us the outcome you need — we will reply within one business day with a clear next step.