Bridging the gap between Large Language Models and real-world infrastructure.
We build robust MCP (Model Context Protocol) gateways that seamlessly integrate Large Language Models with external tools and infrastructure. Our focus is on creating production-ready, open-source solutions for AI-powered workflows.
๐ nova-anythingllm-mcp
AnythingLLM MCP Gateway โ Semantic memory bridge for AI agents. Provides vector+lexical hybrid search across your knowledge corpus through the MCP protocol.
- Tools:
search_memory,get_document,gateway_health - Features: RRF fusion, context assembly, caching layer
- Use case: Connect LLMs to your internal knowledge base with enterprise-grade retrieval
๐ nova-searxng-mcp
SearXNG MCP Gateway โ Privacy-focused web search for AI agents. Meta-search across 90+ engines without vendor lock-in.
- Tools:
search_web,searxng_health,deep_research - Features: Streamable HTTP transport, semantic memory integration
- Use case: Give AI agents real-time web search capabilities with full privacy control
If our MCP gateways save you time and expand your AI agents' capabilities, consider supporting our infrastructure and the development of new open-source integrations. USDT (TRC20): TQvw8MJMdSBFXu5G74JsZm1gzg7cuXBZ2o
- Python โ Core language
- Model Context Protocol (MCP) โ Agent-tool protocol
- Docker โ Containerized deployment
- AnythingLLM โ Vector store & RAG
- SearXNG โ Meta-search engine
- Nextcloud โ Collaboration backend
Contacts:
[Discord] | [Website: coming soon]