Modular MCP layer for Moqui ERP enabling private AI-assisted WeChat interactions with RAG-backed knowledge retrieval

llmmcp is a Model Context Protocol (MCP) server that provides real-time, up-to-date documentation for major LLM providers (OpenAI, Anthropic, and Google Gemini).

Java-native orchestration engine chaining local models with enterprise systems, enforcing data sovereignty and zero-dependency deployment.

Enterprise-grade threat modeling with LLM-driven analyses, MCP scanning, and cross-framework compliance mapping.

Showcases autonomous data-buying flows with live seller discovery, token-based payments, and secure identity integration.

Connects with Appfolio Property Manager Reporting API to streamline data access and automation for property management.

Polymarket data access via standardized interfaces, featuring market filters, order books, trades, and history for AI assistants.

Maya-embedded, standards-compliant HTTP streaming gateway for direct MCP host communication with SSE and REST endpoints, enabling zero-config workflows and progressive in-scene skill loading.

Unified toolkit enabling AI agents to automate questionnaires via OpenAPI using a zero-dependency TypeScript SDK, a feature-rich CLI, and an extensible runtime for robust automation workflows. It differentiates itself with a coherent workspace, comprehensive docs, and ready-to-use integrations for survey creation, data analysis, and cross-tool orchestration across teams and platforms.

Exposes SWI-Prolog as a logic calculator for LLMs, enabling reusable rule bases and transparent proofs via a stateless, plug-and-play interface.

Switch Claude Code configurations across profiles with per-profile plugins, hooks, and auto-switching for different workflows.

Lightning-fast retrieval fusion across vector, BM25, knowledge graph, and metadata layers, all CPU-only and ONNX-powered. Delivers sub-200ms warm queries, incremental indexing, and seamless integration with agent tooling, without PyTorch or external APIs. Four-layer fusion and cross-encoder reranking run locally, enabling private, fast information access. No GPUs required; runs on modest hardware.

Open standard that wraps web data with time, source, and confidence for trustworthy AI insights across diverse data sources

Encrypted local secrets vault with AI-agent MCP access, multi-project organization, and cloud-free secure sharing.

Connects Kali Linux offensive tools to LLMs via a native SDK, enabling autonomous, isolated tool executions with structured outputs. The system categorizes tools by workflow, supports automated logs, and enables safe, containerized execution of external utilities.

Persistent, graph-connected memory for AI agents with a local SQLite store, enabling topology-based discovery and cross-project context.

Cross-platform desktop tool to visually wire AI integration components, export configs to Claude Desktop and Cursor, with secure local storage and auto-updates.

Lightweight, no-auth headless Anki Docker images with optional VNC desktop, AnkiConnect support, and a programmable interface for card management.

Declarative framework to expose web services to AI agents with widget support, inspector debugging, and ChatGPT Apps compatibility for streamlined automation.

AI tools for Kalshi prediction markets — MCP server, CLI, and more.

MCP server for VTK

@tago-io/mcp-server | Model Context Protocol integration for TagoIO Platform

MCP server for Salesforce API integration - Complete CRM integration for GenAI applications

Your go-to MCP for Real-time News & Contextual Intelligence