JSON Query MCP

Overview

The JSON Query MCP is a specialized Model Context Protocol server that empowers AI assistants to interrogate and manipulate large JSON documents efficiently. Instead of loading entire files into memory or relying on external databases, this server exposes a lightweight API that accepts JSONPath queries and similarity searches directly against the raw file. This eliminates latency caused by data transfer and allows LLMs to work with datasets that would otherwise be unwieldy.

Developers integrating AI assistants—such as Cursor’s agents or custom chatbots—can leverage this server to retrieve precise slices of data, discover keys and values that match fuzzy criteria, or extract structured snippets for downstream processing. The tool is particularly valuable when dealing with massive specifications (e.g., Swagger/OpenAPI definitions, telemetry logs, or configuration archives) where a full parse would be prohibitive. By delegating the heavy lifting to the MCP server, the LLM can focus on higher‑level reasoning while still accessing deep insights from the source JSON.

Key capabilities include:

• JSONPath querying: Execute standard JSONPath expressions to navigate nested structures and return exact matches.
• Key similarity search: Find keys that loosely match a query string, useful for discovering fields when schema names are uncertain or misspelled.
• Value similarity search: Locate values that approximate a given string, enabling semantic searches within large datasets.

Typical use cases span software engineering and data science: generating TypeScript interfaces from Swagger specs, extracting configuration parameters for deployment pipelines, or pulling specific metrics from log archives. In an AI workflow, a model can first ask the MCP server to locate relevant fields and then generate code or documentation based on those results, all within a single turn.

What sets this MCP apart is its focus on performance and simplicity. It operates directly from the file system, avoids heavyweight indexing, and communicates via the standard MCP protocol, making it plug‑and‑play for any LLM that supports MCP. This combination of speed, ease of integration, and rich querying power makes the JSON Query MCP a standout tool for developers who need to bridge large JSON data sources with intelligent assistants.