"Understanding and Using JSON" matching MCP servers:

Query only the data you need from your JSON file and keep your context clean

Enables interaction with Odoo 19 databases through the External JSON-2 API, allowing model operations such as search, read, create, write, and unlink via MCP tools.

Enables querying JSON/JSONL social datasets in Claude Desktop via MCP tools, using DuckDB as the backend database.

Turns any JSON file (catalogue, FAQ, price list) into an MCP server with three read-only tools: list with paging, keyword search across chosen fields, and get by id. Runs over stdio for Claude Desktop, Claude Code and Cursor.

A Model Context Protocol server for querying large JSON files using JSONPath expressions, enabling LLMs to efficiently search and extract information from large JSON data.

Enables AI assistants to read, write, query, and manage JSON data files with automatic ID and timestamp generation.

Enables AI tools to query context from a local JSON data source via stdio, demonstrating the Model Context Protocol.

A Model Context Protocol server that allows creation and management of multiple Fireproof JSON databases with CRUD operations, querying capabilities, and cloud synchronization for sharing databases with others.

A JSON-based database MCP server with JWT authentication that enables user management, project tracking, department analysis, meeting management, and equipment tracking. Integrates with Claude Desktop to provide secure CRUD operations and analytics through natural language commands.

A Model Context Protocol server implementation that enables LLMs to query and manipulate JSON data using JSONPath syntax with extended operations for filtering, sorting, transforming, and aggregating data.

This read-only MCP Server allows you to connect to JSON data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for JSON (https://www.cdata.com/drivers/json/download/mcp).

Search the fastest-growing US horse boarding directory: 6,000 facilities and 3,800 trainers across 48 states, plus boarding price data by state.

Lets agents and CLI users inspect the shape of large JSON and JSONL files and extract exactly the values they need using jq-like expressions, returning compact bounded results instead of flooding context.

A local MCP-style server for managing task records and seeded documents through controlled tool functions, using SQLite and JSON seed data.

Provides AI assistants with persistent graph database memory using Neo4j, enabling task management, relationship understanding, semantic search with embeddings, file indexing, and multi-agent coordination through the Model Context Protocol.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

Provides read-only SQL analytics on local CSV, Parquet, and JSON datasets using DuckDB, with pagination, security guardrails, and health monitoring.

Enables AI assistants to search through structured databases and unstructured content (documents, videos, files) using natural language queries with semantic understanding.

Builds rich code graphs from TypeScript/NestJS codebases using AST analysis and Neo4j, enabling semantic search, natural language querying, and intelligent graph traversal to provide deep contextual understanding of code relationships and dependencies.

Provides read-only MCP tools to query the ETIM classification model, enabling AI agents to search classes, retrieve feature/unit definitions, and look up ETIM codes.