Practical guide

Remote MCP server for ChatGPT, Claude, and Cursor

A practical explanation of a remote MCP server: Prostir hosts the endpoint, keeps knowledge and tools behind it, handles access and billing, and gives AI clients one HTTPS target instead of a local server setup.

What is MCP?

MCP, or Model Context Protocol, is a standard way for AI clients to connect to external data, tools, and workflows.
A local MCP server is fine for one developer. It is fragile when a customer, teammate, or AI client needs the same capability.
A remote MCP server gives clients a stable HTTPS target that can be reached from cloud AI products.
A hosted endpoint lets the owner manage access, billing, logs, tools, and revocation without asking users to touch config files.

How Prostir turns an agent into a hosted MCP endpoint

The endpoint is not a naked tool server. It is a published product surface with owner-controlled state behind it.

01
Start with the agent job.
Define what the agent answers, what it can call, and who it serves.
02
Add knowledge and tools.
Attach source documents, searchable knowledge, built-ins, JavaScript helpers, or upstream tools.
03
Set access.
Choose public, protected, paid, or owner-managed access so the endpoint does not become an anonymous open pipe.
04
Publish.
Prostir exposes the agent through its typed public AI surface and required MCP endpoint.
05
Connect clients.
Use the HTTPS endpoint in ChatGPT, Claude, Cursor, or another MCP client when its connector flow supports remote MCP.

Endpoint checklist

linkHTTPS endpointThe public remote MCP URL for the published agent.

docpassportThe human-readable public page explaining what the endpoint is and how to connect.

dataknowledge graphThe indexed source material the agent can search or cite.

codetool catalogThe controlled tool list exposed to the runtime, not every internal capability.

Replacing local setup

The owner wants a hosted endpoint instead of asking users to run a server.

Claude

I have an MCP tool that works locally. I want customers to use it from ChatGPT, Claude, and Cursor without installing anything.

Package the behavior as a Prostir agent, attach the knowledge and tools, set access, then publish a remote MCP endpoint.

prostir_agents_validate

Agent has instructions, tools, knowledge, access rules, and a publishable slug.

prostir_agents_publish

Remote MCP endpoint is live over HTTPS. Passport and setup material are available.

Hosted

No local server for customers. They connect to the hosted endpoint where their AI client supports remote MCP.

Answer for search and AI overviews

A remote MCP server is an MCP endpoint reachable over the network, usually HTTPS, instead of a local process on one machine.
Prostir hosts that endpoint for a published AI agent and keeps knowledge, tools, auth, access, billing, and quotas behind it.
ChatGPT, Claude, Cursor, and other clients can use remote MCP only where their connector support, account plan, transport, and auth rules allow it.

What gets published

The local-server problem turns into a hosted MCP endpoint: one public HTTPS URL, one published agent surface, controlled tools, source-backed answers, access checks, and revocation.

Solutions

Hosted MCP server for an AI agent you own

Publish the Agent to its own HTTPS host and use its stable /mcp endpoint with OAuth-first access or an explicit scoped API-key alternative.

Request a hosted agent See the solution

Solutions

Move the Agent endpoint out of the local tunnel

Tell us the Agent, tools, target clients, and required access model. We will help you define the hosted MCP path and its real compatibility checks.