JSON Splitter and Merger

Community

vadimnastoyashchy

JSON MCP Server

Publisher	vadimnastoyashchy
Repository	`json-mcp`
Language	JavaScript
Forks	3
Stars	13
Available tools	2
Transport type	stdio
Categories	File Systems Developer Tools
License	MIT
Links	GitHub Homepage

Connect tools to AI workflows
JSON Splitter and Merger exposes MCP capabilities that can be used by compatible AI clients and agents.
2 available tools
Browse the callable actions below, including names and descriptions when provided by the server.
Ready-to-copy setup
Use the installation snippets to configure this server in your preferred MCP client.
Open source signals
13 stars and 3 forks from the linked repository.

JSON MCP

The Model Context Protocol (MCP) server empowers LLMs to efficiently interact with JSON files. With JSON MCP, you can split, merge, and find specific data, validate within JSON files based on defined conditions.

🌟 Key Features

✅ Fast and lightweight
✅ LLM-friendly functionality

🎥 Demo

Below is a demo showcasing the split functionality:

Demo: Split JSON

🔧 Use Cases (Tools)

1. `split`

Split a JSON file into a specified number of objects.

Note: The file path must be provided.

Prompt Example:

plaintext
Split JSON file from /Users/json-mcp/tests/merged.json
5 objects per file

2. `merge`

Merge JSON files into a one JSON file

Note: The folder path should be provided

Prompt Example:

plaintext
Merge json files from /Users/json-mcp/tests

⚙️ Configuration

VS Code Manual Configuration

To configure the JSON MCP server manually in VS Code, update the User Settings (JSON) file:

json
{
  "mcp": {
    "servers": {
      "json-mcp-server": {
        "command": "npx",
        "args": ["json-mcp-server@latest"]
      }
    }
  }
}

Installation in VS Code

You can install the JSON MCP server using the VS Code CLI:

bash
# For VS Code
code --add-mcp '{"name":"json-mcp-server","command":"npx","args": ["json-mcp-server@latest"]}'

After installation, the JSON MCP server will be available for use with your GitHub Copilot agent in VS Code.

Claude Desktop

To install json-mcp for Claude Desktop automatically via Smithery:

bash
npx -y @smithery/cli install @VadimNastoyashchy/json-mcp --client claude

⚙️ Installation Server

Install globally

bash
npm install -g json-mcp-server@latest

Run after global installation

bash
json-mcp-server

Using npx with latest version (recommended)

bash
npx json-mcp-server@latest

Installation

TypingMind

Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "json-mcp-server": {
      "command": "npx",
      "args": [
        "json-mcp-server@latest"
      ]
    }
  }
}

Available Tools

split
Split a JSON file into a specified number of objects
merge
Merge JSON files into a one JSON file

Use JSON Splitter and Merger MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once JSON Splitter and Merger is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

Open TypingMind in your browser.
Click the Settings icon.
Go to Advanced Settings.
Open the Model Context Protocol section.
Click Setup Connector and choose This Device.

TypingMind MCP connector setup screen with This Device selected

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

Copy the setup command shown by TypingMind.
Open Terminal on macOS or Windows Terminal on Windows.
Paste and run the command.
Approve the package install if Terminal asks you to proceed.
Keep the Terminal window running while using MCP tools.

Add JSON Splitter and Merger as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

Wait until the connector status shows Ready.
Click Edit Servers.
Paste the JSON Splitter and Merger MCP server configuration.
Save the server list.
Refresh if you want to confirm the connector is still ready.

TypingMind MCP settings showing active server and Edit Servers button

Use it across models

Save the server list, open Plugins, enable the JSON Splitter and Merger MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

Open the Plugins page in TypingMind.
Enable the JSON Splitter and Merger MCP tools.
Start a chat and choose the AI model you want to use.
Use the MCP tools in chat or assign them to an AI agent.
Switch to another AI model whenever needed without reconnecting MCP.

TypingMind chat using enabled MCP tools with a selected AI model

Frequently asked questions

What is the JSON Splitter and Merger MCP server used for?

JSON Splitter and Merger is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use JSON Splitter and Merger MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use JSON Splitter and Merger with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use JSON Splitter and Merger MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With JSON Splitter and Merger connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect JSON Splitter and Merger MCP to TypingMind?

JSON Splitter and Merger runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does JSON Splitter and Merger MCP provide in TypingMind?

JSON Splitter and Merger exposes 2 MCP tools that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use JSON Splitter and Merger MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If JSON Splitter and Merger requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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View details

JSON MCP

🌟 Key Features

🎥 Demo

🔧 Use Cases (Tools)

1. split

2. merge

⚙️ Configuration

VS Code Manual Configuration

Installation in VS Code

Claude Desktop

⚙️ Installation Server

Install globally

Run after global installation

Using npx with latest version (recommended)

Installation

Available Tools

Use JSON Splitter and Merger MCP with multiple AI models

Setup guide to use the local connector

Open the MCP settings

Run the connector command

Add JSON Splitter and Merger as a server

Use it across models

Frequently asked questions

Related MCP Servers

Set up your own AI workspace now

1. `split`

2. `merge`