MyMCP
Allows the AI to interact with GitHub APIs for managing repositories, issues, and more.
Planned integration for interacting with Google Sheets APIs for spreadsheet operations.
Allows the AI to interact with Jira APIs for managing issues and projects.
Allows the AI to interact with Notion APIs for managing pages and databases.
Enables the AI to interact with Slack APIs for messaging and channel management.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MyMCPcreate a new tool to look up stock prices"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MyMCP
Build your own MCP servers — no code required.
A local, no-code builder for Model Context Protocol (MCP) servers. Assemble your own AI tools and connect them to Claude, Cursor, VS Code Copilot, and any other MCP-compatible assistant — without writing a single line of code.
Quick Start · Features · How it works · Connect your AI · Architecture · Contributing
What is MyMCP?
The Model Context Protocol (MCP) is the open standard that lets AI assistants such as Claude securely call external tools and APIs. Building an MCP server normally means writing TypeScript or Python, defining JSON schemas, and wiring up a runtime.
MyMCP removes the code. It is a local web app where you:
Describe a tool in plain language.
Add the input fields your tool needs.
Point it at an API, an integration, or a script.
Click Connect — and your AI assistant can use it.
It is built for people who know what they want their AI to do, but would rather not become backend engineers to make it happen: manual testers, product and project managers, business analysts, team leads, and AI power users.
Everything runs locally. No accounts, no cloud, no SaaS — your tools and secrets never leave your machine.
Related MCP server: Netmex MCP
Features
No-code Tool Wizard. Create AI tools step by step: name, AI-facing description, input fields, action. The JSON Schema is generated for you.
Three ways to power a tool. Call any REST API, reuse a saved integration, or run a JavaScript / Python script for advanced cases.
Built-in integrations. Jira, GitHub, Slack, Notion, and generic REST, with stored credentials and connection testing.
One-click connect. MyMCP detects installed clients (Claude Desktop, Cursor, VS Code / Copilot) and writes the config for you. Existing servers are preserved and the previous config is backed up first.
Manual export. Copy ready-to-paste config snippets for any MCP client.
Git-friendly projects. Your entire setup is a single
project.jsonfile you can version, share, and import.Local and private by design. No sign-up, no telemetry, no cloud. Secrets stay on your machine.
One command to launch.
start.bat/start.shinstalls everything, boots the server and UI, and opens your browser.
Quick Start
Prerequisite: Node.js 18+ (tested on Node 22).
1. Clone the repository
git clone https://github.com/damiankaniewski/MyMCP.git
cd MyMCP2. Run the launcher
Windows
start.batmacOS / Linux
./start.shOn first run the launcher will:
Install all dependencies (root, backend, frontend).
Start the backend on
http://localhost:3001.Start the web UI on
http://localhost:5173.Open your browser automatically.
How it works
MyMCP provides a small set of focused screens:
Screen | Purpose |
Dashboard | See your project, tools, and MCP status. Import / export |
New tool | A step-by-step wizard: name, AI description, input fields, action. |
Integrations | Connect Jira, GitHub, Slack, Notion, or any REST API (with secrets). |
MCP Server | Build, start, stop, and restart your generated server. View logs. |
Connect to AI | Copy ready-made config, or auto-connect to Claude Desktop, Cursor, VS Code. |
Tool actions
When you create a tool, you choose what it does:
Call an API — make an HTTP request. Insert field values with
{{fieldName}}and secrets with{{secrets.KEY}}.Use an integration — reuse a saved connection; auth headers are added for you.
Run a script — JavaScript or Python (advanced). Your code receives a
paramsobject and returns the result.
Example tool
A "Get Public Holidays" tool, built entirely in the UI, compiles down to this in your project.json:
{
"name": "get_public_holidays",
"description": "Returns public holidays for a given country and year.",
"inputSchema": [
{ "name": "country", "type": "text", "required": true, "description": "Two-letter code, e.g. PL" },
{ "name": "year", "type": "number", "required": true, "description": "Year, e.g. 2026" }
],
"executionType": "http",
"executionConfig": {
"method": "GET",
"url": "https://date.nager.at/api/v3/PublicHolidays/{{year}}/{{country}}"
}
}Your AI assistant now has a get_public_holidays tool it can call on its own.
Connect your AI assistant
Open the Connect to AI screen. There are two ways to connect.
Automatic (recommended)
MyMCP detects which apps are installed and shows a Connect button. One click writes the server straight into that app's MCP config — your existing servers are kept and the previous file is backed up first. Then restart the app (for VS Code, open Copilot Chat in Agent mode).
Manual
Pick the app's tab, click Copy, and paste the snippet into its MCP config file:
{
"mcpServers": {
"my-mcp": {
"command": "node",
"args": ["generated/server.mjs"]
}
}
}Supported clients: Claude Desktop, Cursor, VS Code / Copilot, and any client that speaks MCP over stdio.
Architecture
mymcp/
├── frontend/ React + TypeScript + Vite + TailwindCSS web UI
├── backend/ Node + TypeScript + Express + official MCP SDK
│ └── src/
│ ├── generator/ turns project.json into a standalone MCP server
│ ├── routes/ project · tools · integrations · server · export
│ └── storage/ project persistence
├── projects/ your project.json lives here (Git-friendly)
├── templates/ starter integration templates (Jira, GitHub, Slack)
├── generated/ the compiled MCP server artifact (generated/server.mjs)
├── start.bat one-click launcher (Windows)
└── start.sh one-click launcher (macOS / Linux)Tech stack
Layer | Technologies |
Frontend | React 18 · TypeScript · Vite · TailwindCSS · React Router · lucide-react |
Backend | Node.js · TypeScript · Express · |
Generator | Compiles |
Data storage
Everything lives in a single, Git-friendly file:
projects/example-project/project.jsonExport it from the Dashboard to back it up or share it. Local secrets are kept in a separate secrets.json that is git-ignored by default.
Developer commands
npm run install:all # install everything (root + backend + frontend)
npm run dev # run backend + frontend together with live reload
npm run build # type-check and build bothBackend —
backend/(Node + TypeScript + Express + official MCP SDK).Frontend —
frontend/(React + TypeScript + Vite + TailwindCSS).Generator — turns
project.jsoninto a self-contained MCP server atgenerated/server.mjs.
The generated server links to the installed dependencies, so a connected client can launch it directly. To run it on another machine, run npm install inside generated/ first.
Roadmap
No-code Tool Wizard (HTTP, script, integration)
One-click connect for Claude Desktop, Cursor, VS Code
Project import / export
Expanded built-in integrations (Notion, Google Sheets)
Marketplace of ready-made tool templates
Python script execution out of the box
Have an idea? Open an issue.
Contributing
Contributions, bug reports, and feature requests are welcome.
Fork the repository and create your branch:
git checkout -b feature/my-featureMake your changes and run
npm run buildto type-check.Commit, push, and open a pull request.
The codebase favors modular, well-typed, feature-based code and a plugin-style architecture, so new integrations require minimal changes elsewhere.
Contributors
Damian Kaniewski — @damiankaniewski
License
Distributed under the MIT License. See LICENSE for details.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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