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Trusted by teams building on mcpfy Cloud

NorthwindApertureCogentLumenBrightpathSundialMeridianIroncladBlue HarborKestrel

Distribution

One deploy. Every client, already connected.

Push once and the same server answers in ChatGPT, in Claude, and in your own agents. No forks, no per-client rewrites, no second pipeline.

AI Chats

ChatGPTClaudeGemini EnterpriseCopilot 365CopilotKit

Coding agents

CodexClaude CodeCursorVS Code

Internal agents

OpenAI AgentsClaude Agent SDKMastraLangChainVercel AI SDK
Live routing1 build → 5 surfaces
deploymentacme-mcpmain · 12s agoChatGPTMCP App38msClaudeConnector41msGemini EnterpriseMCP Server52msCursor · VS CodeMCP Server36msYour agent runtimeMCP Server29ms

Discovery

Listed where people go looking for tools.

Shipping is not the same as being found. Your server shows up as an entry people can browse and install — in the connector directory of a chat client, and in the app store next to it — with the icon, copy and screenshots already filled in.

Connector directoriesApp storesSubmission pack
See it against a real server

Connectors

Connect the tools you already use. Your servers show up here.

Search
Northwind CRMSearch accounts, update deals, and draft follow-ups.
Kestrel AnalyticsQuery events and chart them in the conversation.
Meridian DocsRead, summarise and edit team documents.
SundialFind a slot and put the meeting on the calendar.

Appsbeta

Chat with your favourite apps

Search

Chart anything you store

chart-server · featured today

Aperture FilesStore, tag and retrieve assets›
Cogent SearchIndex anything, answer from it›
IroncladRedline and compare contracts›
BrightpathPlan routes and track delivery›

What you skip

Every MCP server needs the same scaffolding

Seven jobs stand between a working tool and something people can install. You can write all of them, or none of them.

By hand

With mcpfy

Hosting
Pick a host, write a Dockerfile, wire up TLS and a domain.
Connect the repository. Every push ships.
Preview environments
Stand up a second stack, or test in production and hope.
A live MCP URL for every branch, automatically.
Secrets
A .env file, a secret manager, and a way to keep them in sync.
Per-environment variables injected at runtime.
Debugging
console.log, then redeploy, then read the logs again.
Every JSON-RPC frame captured, with session replay.
Testing across clients
Open ChatGPT, then Claude, then Cursor, and click through each one.
One suite, run across clients and models, judged automatically.
Analytics
Bolt on a generic APM that has never heard of a tool call.
MCP-native volume, latency, errors and per-tool health.
Getting listed
Read the directory guidelines and assemble the pack by hand.
Publish checks, then a generated submission pack.

Why us

Why teams pick mcpfy

Developers

What people say once it ships

Thousands of teams build on the open SDK. These are illustrative personas — the workflows are the real ones.

Priya Raman@priyabuilds
Been meaning to try mcpfy — started a ChatGPT app today and wasn't sure it was the right use case. Turns out it very much is.
Marcus Oyelaran@moyelaran
Easily the smoothest Python path for building an agent-facing MCP server. I can iterate from the CLI and test against a real agent in seconds — most tooling assumes you're only ever in a chat client.
Ines Ferreira@inesferreira
Widget support landing on the open spec matters — the whole community benefits when compatibility is the default instead of an afterthought.
Philipp Braun@pbraun
Great to see mcpfy shipping in the open. We're running a hack night with them next week to put it through its paces 😉
Victor Tran@vtran
Sharp execution. They've stripped deployment and aggregation down to one endpoint. Data teams and internal dashboards could slot this in and cut weeks off agent builds.

FAQ

Answers before you ask

Everything about building, deploying, testing and publishing.

Three ways in

Ship your first MCP server today

Start from the code you already have, a prompt, or a template.

From a Git repository

Point us at a repo. Every push builds, checks and ships itself.

mcpfy/chart-serverImport
mcpfy/postgres-mcpImport
acme/internal-toolsImport
Connect GitHub

From a prompt

Describe what you want and watch the tools and widgets scaffold.

Make me an MCP server for my Postgres database

Start vibecoding

From a template

Start on a known-good scaffold — charts, diagrams, databases.

Chart Builder

Diagram Builder

Browse templates