JSON Filter MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| json_schemaB | Generate TypeScript schema for a JSON file or remote JSON URL. Provide the file path or HTTP/HTTPS URL as the only parameter. |
| json_filterA | Filter JSON data using a shape object to extract only the fields you want. Provide filePath (local file or HTTP/HTTPS URL) and shape parameters. |
| json_dry_runA | Analyze the size breakdown of JSON data using a shape object to determine granularity. Returns size information in bytes for each specified field, mirroring the shape structure but with size values instead of data. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
Each tool has a distinct and non-overlapping purpose: json_dry_run analyzes size breakdowns, json_filter extracts specific fields, and json_schema generates TypeScript schemas. The descriptions clearly differentiate their functions, with no ambiguity in tool selection.
All tool names follow a consistent 'json_' prefix pattern with descriptive suffixes (dry_run, filter, schema). This uniform naming convention makes the tool set predictable and easy to understand, enhancing usability.
With 3 tools, this server is well-scoped for JSON filtering and analysis tasks. Each tool serves a clear and essential function in the domain, avoiding bloat while covering core operations like filtering, schema generation, and size analysis.
The tool set covers key JSON operations: filtering, schema generation, and size analysis, which are fundamental for JSON processing. A minor gap exists in lacking direct manipulation tools (e.g., json_merge or json_transform), but the provided tools enable effective agent workflows without dead ends.