toolpipe-dev-tools
toolpipe-dev-tools delivers 18 computation-only developer utilities via MCP server, including JSON formatter, Base64 encoder/decoder, UUID generator, hash generator, HTML-to-Markdown converter, RAG text chunker, JSON schema validator, CSV-to-JSON converter, JWT decoder, regex tester, cron parser, and others. Developers integrate these for data manipulation, validation, and testing in scripts, AI agents, or pipelines without external API calls.
Overview
toolpipe-dev-tools is an MCP server that exposes 18 standalone developer utilities for pure local computation. It handles common data processing, formatting, validation, and testing tasks without relying on external APIs or services, making it suitable for integration into development environments, AI agent workflows, or automated scripts.
Key Capabilities
- json_formatter: Formats and prettifies JSON strings for readability.
- base64: Encodes and decodes strings or files in Base64 format.
- uuid_generator: Generates unique UUID v4 identifiers.
- hash_generator: Computes hashes like MD5, SHA-1, SHA-256 from input strings.
- html_to_markdown: Converts HTML content to Markdown format.
- rag_text_chunker: Splits text into chunks optimized for RAG pipelines.
- json_schema_validator: Validates JSON data against provided schemas.
- csv_to_json: Parses CSV strings and converts to JSON arrays/objects.
- jwt_decoder: Decodes JWT tokens to inspect payload and headers.
- regex_tester: Tests regular expressions against input strings, reporting matches.
- cron_parser: Parses cron expressions to list scheduled times.
- Additional tools for URL encoding, QR code generation, password strength checks, and more.
Use Cases
- A backend developer uses json_schema_validator and json_formatter to validate and format API responses during testing.
- An AI engineer employs rag_text_chunker and html_to_markdown to preprocess documents for retrieval-augmented generation pipelines.
- A DevOps script leverages cron_parser and uuid_generator to schedule tasks and assign unique job IDs.
- Data analysts run csv_to_json and hash_generator to transform datasets and anonymize sensitive fields.
Who This Is For
Backend and full-stack developers needing quick utility functions in code or agents; AI/ML engineers processing text for RAG; data engineers handling format conversions and validation; DevOps for parsing schedules and generating IDs.