
MinishLab/sembleConnectors
Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read
6k

Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read
Python, LlamaIndex, LangChain, 15 Property Graph, 4 RDF , 10 Vector, OpenSearch, Elasticsearch, Alfresco, Nuxeo DBs. 14 data sources (10 auto-sync), KG auto-building, Ontologies, LLMs, Docling, LlamaParse, LiteParse, GraphRAG, RAG, Hybrid Search, AI Chat. TypeScript React, Vue, Angular frontends, REST, MCP Server. Options: Langflow, CocoIndex
Zero-configuration MCP server that unifies multiple AI coding assistants (Codex, Claude Code, Cursor, Gemini) through intelligent auto-discovery and standardized interface
Algorand Local Model Context Protocol (Server & Client)