"ZAP" matching MCP servers:

Provides a structured map of 120 practical AI prompts across 6 business domains, enabling users to quickly generate complete prompts for specific tasks using slash commands or tools.

Enables AI-powered manufacturing operations analysis and automated report generation from SAP DMC, with direct delivery to MS Teams.

Enables conversational AI to access, analyze, and interact with Associated Press news content through natural language, with 26 tools for search, trends, and content monitoring.

An enhanced MCP server for Z.AI vision understanding that supports custom OpenAI-compatible endpoints and provides 8 vision tools for image/video analysis, including image understanding, OCR, UI-to-code, diagram comprehension, and error diagnosis.

Exposes semiconductor wafer analysis tools including wafer maps, P-charts, and statistical plots, enabling AI assistants to visualize and analyze wafer test data.

Enables AI agents to compress and selectively retrieve context, with measured recall rather than claimed performance. It provides tools to assess potential traffic and token savings, list compression dictionaries, and assemble relevant memory entries within a token budget.

Simulates and intermediates integrations with SAP via OData, exposing automated tools for AI agents and assistants.

Automates literature review, research gap detection, and novelty evaluation for academic research, providing tools to search, summarize, find gaps, generate ideas, and evaluate novelty.

MCP server for the Zep Cloud API — a context engineering platform for AI agent memory. Provides tools for memory management, knowledge graph operations, and admin features.

Enables natural-language interaction with SAP BTP destinations and OData services through MCP tools, allowing users to discover and query OData endpoints and get AI-generated answers.

MCP server for bottle-cap CAD workflow, providing tools for generating precise caps, filling holes, repairing meshes, and generating visual meshes via CadQuery, PyMeshLab, and the Meshy API.

A lightweight, zero-dependency Python MCP server that exposes a single do_everything tool. Any AI agent that supports MCP can use it to offload all language-model work to a local OpenAI-compatible endpoint, reducing cost on the agent's primary LLM.

Enables AI agents to consume 50+ NVIDIA NIM models including LLMs, image generation, and vision through 10 MCP tools with rich metadata and advanced filtering.