databasesanalytics-data

JSON Manipulation

gongrzhe

by gongrzhe

Manipulate and analyze JSON data with JSON Manipulation using JSONPath syntax. Query arrays and explore JSONPath example

Provides a JSON manipulation interface using JSONPath syntax for querying, transforming, and analyzing structured data across diverse datasets.

github stars

89

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Extended JSONPath with 20+ operationsWorks with remote JSON URLs

best for

  • / Data analysts working with JSON APIs
  • / Developers processing structured data feeds
  • / Automating data extraction and transformation tasks

capabilities

  • / Query JSON data using JSONPath syntax
  • / Filter JSON datasets with custom conditions
  • / Sort and slice array data
  • / Transform data with map, flatten, and grouping operations
  • / Perform string and numeric operations on JSON fields
  • / Calculate aggregations like sum and statistics

what it does

Query and manipulate JSON data from URLs using JSONPath expressions. Provides filtering, sorting, and transformation capabilities for structured data analysis.

about

JSON Manipulation is a community-built MCP server published by gongrzhe that provides AI assistants with tools and capabilities via the Model Context Protocol. Manipulate and analyze JSON data with JSON Manipulation using JSONPath syntax. Query arrays and explore JSONPath example It is categorized under databases, analytics data. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install JSON Manipulation in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

JSON Manipulation is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

JSON MCP Server (@gongrzhe/[email protected])

A JSON Model Context Protocol (MCP) server implementation for querying and manipulating JSON data. This server enables LLMs to interact with JSON data through a set of standardized tools.

<a href="https://glama.ai/mcp/servers/9g137c4b4k"> <img width="380" height="200" src="https://glama.ai/mcp/servers/9g137c4b4k/badge" alt="JSON Server MCP server" /> </a>

Installation & Usage

# Using npx with specific version (recommended)
npx @gongrzhe/[email protected]

# Install specific version globally
npm install -g @gongrzhe/[email protected]

# Run after global installation
server-json-mcp

Components

Tools

  • query

    • Query JSON data using JSONPath syntax with extended operations
    • Input:
      • url (string): URL of the JSON data source
      • jsonPath (string): JSONPath expression with optional operations
  • filter

    • Filter JSON data using conditions
    • Input:
      • url (string): URL of the JSON data source
      • jsonPath (string): Base JSONPath expression
      • condition (string): Filter condition

Supported Operations

Array Operations

  • Slicing: $[0:5], $[-3:], $[1:4]
  • Sorting: $.sort(price), $.sort(-price)
  • Distinct: $.distinct()
  • Transformations:
    • Map: $.map(fieldName)
    • Flatten: $.flatten()
    • Union: $.union([1,2,3])
    • Intersection: $.intersection([1,2,3])

String Operations

  • Case: $.toLowerCase(), $.toUpperCase()
  • Tests: $.startsWith('test'), $.endsWith('test')
  • Search: $.contains('test'), $.matches('pattern')

Numeric Operations

  • Math: $.math(+10), $.pow2()
  • Rounding: $.round(), $.floor(), $.ceil()
  • Functions: $.abs(), $.sqrt()

Date Operations

  • Format: $.format('YYYY-MM-DD')
  • Check: $.isToday()
  • Modify: $.add(1, 'days')

Aggregation Operations

  • Group: $.groupBy(category)
  • Stats: $.sum(price), $.avg(price), $.min(price), $.max(price)

Configuration

Usage with Claude Desktop

To use this server with the Claude Desktop app, add the following configuration to your claude_desktop_config.json:

{
  "json": {
    "command": "npx",
    "args": [
      "@gongrzhe/[email protected]"
    ]
  }
}

Alternatively, you can use the node command directly if you have the package installed:

{
  "json": {
    "command": "node",
    "args": [
      "path/to/build/index.js"
    ]
  }
}

Development

Building from Source

  1. Clone the repository
  2. Install dependencies:
    npm install
    
  3. Build the project:
    npm run build
    

Notes

  1. All JSONPath expressions start with $ representing the root object
  2. Array indices are zero-based
  3. String values in operations should be wrapped in quotes
  4. Date operations support 'days', 'months', and 'years' units
  5. Numeric operations support basic arithmetic operators (+, -, *, /)

License

MIT

FAQ

What is the JSON Manipulation MCP server?
JSON Manipulation is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for JSON Manipulation?
This profile displays 29 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases

Direct Database Queries from AI

Enable Claude to query your database directly using natural language

Example

Ask 'Show me top 10 customers by revenue this month' and get SQL results instantly

Eliminate manual SQL writing for ad-hoc queries, get insights 10x faster

Data Analysis & Reporting

Generate complex reports and analytics without leaving conversation

Example

Analyze sales trends, cohort retention, user behavior patterns conversationally

Democratize data access—non-technical team members can query databases

Schema Exploration

Understand database structure, relationships, and data models

Example

'Explain the user_orders table schema and its relationships'

Onboard engineers faster, explore unfamiliar databases efficiently

Data Validation & Quality Checks

Run data quality queries to catch anomalies and inconsistencies

Example

Find duplicate records, missing values, orphaned foreign keys automatically

Maintain data integrity with less manual SQL work

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor with MCP support
  • Database credentials (read-only recommended for safety)
  • Network access from Claude client to database
  • Understanding of database security and access control

Time Estimate

15-30 minutes including configuration and testing

Installation Steps

  1. 1.Install MCP server: npm install -g @modelcontextprotocol/server-[name]
  2. 2.Configure database connection in Claude Desktop config (~/.claude/mcp.json)
  3. 3.Provide connection string: host, port, database, username, password
  4. 4.Restart Claude Desktop to load MCP server
  5. 5.Test connection: 'List all tables in database'
  6. 6.Run simple query: 'Show me 5 rows from users table'
  7. 7.Verify results and permissions are correct
  8. 8.Document query patterns for team use

Troubleshooting

  • Connection refused: Check database is running and network accessible
  • Authentication failed: Verify credentials, check user permissions
  • Claude can't see tables: Grant appropriate read permissions to database user
  • Slow queries: Add indexes, limit result set size, use read replicas
  • MCP server not loading: Check config syntax, restart Claude Desktop

Best Practices

✓ Do

  • +Use read-only database credentials to prevent accidental writes
  • +Connect to read replica, not production primary database
  • +Set query timeout limits to prevent long-running queries
  • +Document database schema and common queries for AI context
  • +Monitor query performance and optimize slow queries
  • +Use connection pooling for better performance
  • +Test with non-production data first

✗ Don't

  • Don't use production write credentials—risk of data corruption
  • Don't query production database during peak traffic hours
  • Don't expose sensitive PII without proper access controls
  • Don't skip query result validation—AI can misinterpret schema
  • Don't allow unlimited result set sizes—set LIMIT clauses
  • Don't share database credentials in plain text config files

💡 Pro Tips

  • Create database views for common queries to simplify AI access
  • Add schema comments/descriptions so AI understands column meanings
  • Use semantic table/column names ('customer_lifetime_value' not 'clv')
  • Set up query logging to audit what Claude is querying
  • Create saved query templates for recurring analysis
  • Combine with data visualization tools for better insights

Technical Details

Architecture

MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.

Protocols

  • Model Context Protocol (MCP)
  • Database-specific protocols (PostgreSQL, MySQL, MongoDB)

Compatibility

  • PostgreSQL
  • MySQL
  • SQLite
  • MongoDB
  • Redis

When to Use This

✓ Use When

Use for ad-hoc data queries, exploratory analysis, report generation, schema exploration, and democratizing data access. Best for read-heavy analytics workloads.

✗ Avoid When

Avoid for production write operations, mission-critical transactions, real-time OLTP workloads, or when database contains sensitive PII without proper access controls. Use read replicas, not primary.

Integration

  • Read replica connection for analytics queries
  • Database view layer to abstract complex joins
  • Query result caching for repeated questions
  • Audit logging of all AI-generated queries

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.629 reviews
  • Li Choi· Dec 24, 2024

    JSON Manipulation is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Advait Abebe· Dec 12, 2024

    JSON Manipulation is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Shikha Mishra· Dec 8, 2024

    JSON Manipulation is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Rahul Santra· Nov 27, 2024

    Useful MCP listing: JSON Manipulation is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Chen Lopez· Nov 15, 2024

    Useful MCP listing: JSON Manipulation is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Ava Bansal· Nov 3, 2024

    According to our notes, JSON Manipulation benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Ava Haddad· Oct 22, 2024

    JSON Manipulation has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Pratham Ware· Oct 18, 2024

    JSON Manipulation reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Alexander Khanna· Oct 6, 2024

    JSON Manipulation reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Alexander Thompson· Jul 27, 2024

    Strong directory entry: JSON Manipulation surfaces stars and publisher context so we could sanity-check maintenance before adopting.

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