io.github.rog0x/string - MCP Server
A Model Context Protocol (MCP) server offering string analysis and manipulation tools for AI agents. It provides metrics, transformations, and templates to support model-context workflows within MCP.
🛠️ Key Features
- String analysis: character counts (with/without spaces), word/sentence/paragraph counts, reading time, Flesch-Kincaid score, unique word stats, longest word.
- String transformation: remove duplicate lines, collapse extra whitespace, and other templated operations.
- MCP-compatible tooling: designed to be used by AI agents and MCP clients for model-context tasks.
- TypeScript-based implementation for reliable integration and type safety.
🚀 Use Cases
- Evaluate text complexity and readability for agent prompts.
- Normalize and preprocess strings for AI pipelines.
- Deploy as a reusable MCP toolset within larger agent ecosystems.
- Generate templates and metrics for downstream model-context decisions.
⚡ Developer Benefits
- Clear MCP integration points with analyzers and transformers.
- Extensible, TypeScript-first codebase suitable for customization.
- Grounded in widely used MCP concepts like model-context and tooling templates.
- Readme excerpt provides quick-start overview of available tools.
⚠️ Limitations
- May require additional MCP adapters to align with specific agent workflows.
- Tool coverage is focused on analysis and basic transformations; advanced NLP tasks are out of scope.