"NXP" matching MCP servers:

Unified MCP orchestration layer that consolidates multiple MCPs into a single interface with semantic tool discovery, code-mode execution, scheduling, and intelligent caching to reduce token usage by 97% and eliminate choice paralysis.

Exposes deterministic, offline classical NLP capabilities — tokenization, POS tagging, NER, keyword extraction, sentence splitting, OpenIE triples, and sememe/WordNet lookup — as capability-level MCP tools that any LLM agent host can call. Every call returns a unified envelope with exact character offsets, honest engine attribution, and reproducible results, enabling cheap preprocessing, citation-grade spans, and two-stage extraction funnels that keep expensive model reasoning to a minimum.

A powerful MCP server for fetching and transforming web content into various formats (HTML, JSON, Markdown, Plain Text) with ease.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Raisers Edge NXT (beta): https://www.cdata.com/download/download.aspx?sku=JZZK-V&type=beta

MCP server for tiered, injection-resistant natural-language access to a washing-machine Turso database, supporting stdio and HTTP transports with security guarantees like silent downgrades and audit logging.

An MCP server enabling AI agents to record, query, and share structured problem-solving experiences with human review and confidence decay.

Automatically converts Swagger/OpenAPI specifications into MCP servers, enabling AI agents to interact with any REST API through natural language by exposing endpoints as AI-friendly tools.

Orchestrates multiple AI agents to process complex queries by intelligently splitting tasks, executing them in parallel, and synthesizing results using local Ollama LLM inference.