JSON Editor MCP
Enables efficient JSON file editing with targeted read, write, delete, and deep merge operations using dot notation paths, optimized for managing multilingual projects and large configuration files.
README
JSON Editor MCP
A Model Context Protocol (MCP) server for editing JSON files with read, write, and deep merge capabilities. Perfect for managing multilingual Next.js projects and other JSON-based configurations.
Note: This is an actively developed tool. Feature requests and bug reports are welcome! File issues on GitHub.
Problems This Solves
- ๐ฐ Significant token savings: Edit specific JSON paths instead of reading/writing entire files
- โก Efficient operations: ~100 tokens per edit vs 4,000+ tokens for full file operations
- ๐ฆ Handles large files: Large translation files may not fit into context windows; targeted operations work regardless of file size
- ๐ Faster edits: Avoids slow network round-trips from reading/writing entire files
- ๐ Prevents duplicate keys: AI can't see full translation JSON and creates duplicates; targeted operations avoid this issue
- ๐ Targeted reads: Read only the values you need using dot notation paths
- โ๏ธ Targeted writes: Update only specific paths, automatically creates missing nested structures
- ๐๏ธ Targeted deletes: Remove specific paths from JSON files
- ๐ Deep merge support: Merge duplicate keys with recursive object merging
- ๐ Multi-file operations: Read, write, or delete the same path from multiple JSON files efficiently
- ๐ TypeScript support: Full type definitions included
- ๐ค MCP compliant: Works with AI assistants (Cursor, Claude, ChatGPT) and development tools
Installation
bun add json-editor-mcp
Usage
MCP Server Configuration
Add to your MCP client configuration:
{
"mcpServers": {
"json-editor": {
"command": "bunx",
"args": ["json-editor-mcp"]
}
}
}
Cursor Rules Integration
Copy the rule file to your project to ensure AI assistants use MCP tools:
cp .cursor/rules/json-editor-mcp.mdc /path/to/your/project/.cursor/rules/
Tools
read_multiple_json_values
Reads the same dot notation path from one or more JSON files in a single operation. Returns a map with file paths as keys and the extracted values as values. Useful for comparing translations across language files or reading from a single file.
Note: For single file operations, pass an array with one file path: ["messages/en.json"]
Input JSON files:
messages/en.json:
{
"common": {
"welcome": "Welcome"
}
}
messages/es.json:
{
"common": {
"welcome": "Bienvenido"
}
}
Tool call:
read_multiple_json_values(["messages/en.json", "messages/es.json"], "common.welcome")
Output:
{
"messages/en.json": "Welcome",
"messages/es.json": "Bienvenido"
}
Single file example:
read_multiple_json_values(["messages/en.json"], "common.welcome")
Output:
{
"messages/en.json": "Welcome"
}
write_json_values
Writes a value to a JSON file at a specified dot notation path. Automatically creates missing nested paths and preserves existing structure.
Input JSON (messages/en.json):
{
"common": {
"welcome": "Welcome"
}
}
Tool call:
write_json_values("/absolute/path/to/messages/en.json", "pages.about.title", "About Us")
Output JSON (messages/en.json):
{
"common": {
"welcome": "Welcome"
},
"pages": {
"about": {
"title": "About Us"
}
}
}
Output:
Successfully wrote to /absolute/path/to/messages/en.json
delete_multiple_json_values
Deletes a value at a specified dot notation path from one or more JSON files. Returns a map with file paths as keys and deletion results as values.
Note: For single file operations, pass an array with one file path: ["messages/en.json"]
Input JSON files:
messages/en.json:
{
"common": {
"welcome": "Welcome",
"goodbye": "Goodbye"
}
}
messages/es.json:
{
"common": {
"welcome": "Bienvenido",
"goodbye": "Adiรณs"
}
}
Tool call:
delete_multiple_json_values(["messages/en.json", "messages/es.json"], "common.goodbye")
Output:
{
"messages/en.json": "Successfully deleted",
"messages/es.json": "Successfully deleted"
}
Output JSON files:
messages/en.json:
{
"common": {
"welcome": "Welcome"
}
}
messages/es.json:
{
"common": {
"welcome": "Bienvenido"
}
}
merge_duplicate_keys
Performs a deep merge of duplicate keys in a JSON file. Primitives use last-value-wins, objects merge recursively, and arrays use last-value-wins. Useful when AI assistants create duplicate keys because they can't see the full file structure.
Input JSON (messages/en.json):
{
"common": {
"welcome": "Welcome"
},
"common": {
"goodbye": "Goodbye"
}
}
Tool call:
merge_duplicate_keys("messages/en.json")
Output JSON (messages/en.json):
{
"common": {
"welcome": "Welcome",
"goodbye": "Goodbye"
}
}
API Reference
Path Notation: Dot notation for nested paths (e.g., "common.welcome", "pages.home.title")
Error Handling:
- File not found: Creates empty object
{}for reads - Invalid JSON: Returns error message
- Path not found: Error for reads, auto-creates for writes
Deep Merge: Primitives last-value-wins, objects merge recursively, arrays last-value-wins
Development
git clone https://github.com/peternagy1332/json-editor-mcp.git
cd json-editor-mcp
bun install
bun run build
License
MIT License - see LICENSE file for details.
Support
File issues on GitHub.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
E2B
Using MCP to run code via e2b.