URL Query String Deep Parser

URL Query String Deep Parser MCP Connector for Claude

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Transforms flat URL query strings into deeply nested JSON objects and arrays.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

The URL Query String Deep Parser is a specialized utility designed to bridge the gap between simple key-value pairs and complex data structures. It allows AI agents to interpret hierarchical query parameters using dot notation (e.g., user.name) and array notation (e.g., tags[]). By utilizing tools like parse_query_string, flatten_to_pairs, lookup_deep_value, and get_nesting_complexity, agents can navigate complex API filters and structured URL data with precision.

url-parsingjsonquery-stringnested-objectsapi-helper

4 tools expose this connector's capabilities to your AI agent.

get_nesting_complexity

Analyzes the structural depth and complexity of the parsed query string

lookup_deep_value

g., "user.profile.id"). Returns found value and if access was nested. Retrieves the value of a specific property located at any depth within the query string

parse_query_string

Returns parsed object, total count, and nested keys count. Converts a raw query string into its fully structured, nested JSON representation

flatten_to_pairs

Returns array of "key=value" strings. Extracts all decoded key-value pairs into a simple, flat list for inspection

See how to talk to your AI agent using URL Query String Deep Parser.

Parse this query string: `name=John&user.id=123&tags[]=dev&tags[]=admin`

{ "name": "John", "user": { "id": "123" }, "tags": ["dev", "admin"] }

What is the value of `user.id` in `user.id=456&status=active`?

456

Check the complexity of `a.b.c=1&d[]=2`.

The maximum nesting depth is 3 and arrays are present in the structure.

The parser uses dot notation to identify hierarchy. For example, a key like `user.profile.id` will result in a nested JSON structure: `{ "user": { "profile": { "id": "..." } } }`.

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