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maintenanceA MCP server for document ingestion and semantic search using ChromaDB and sentence transformers, enabling users to query natural language over ingested documents.
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"https://www.galaxus.ch/en/sector/showdiscussion/snaphack-free-visit-kunghaccom-rbh3yp7y-226576" matching MCP servers:
- AlicenseCqualityDmaintenanceEnables vector similarity search and serving of Svelte documentation via the MCP protocol, with support for local caching and multiple llms.txt documentation formats.11,065123MIT
tigergraph-mcpofficial
Alicense-qualityBmaintenanceModel Context Protocol (MCP) server for TigerGraph that lets AI agents interact with TigerGraph through the MCP standard using pyTigerGraph's async APIs.3Apache 2.0
MCP MariaDB Serverofficial
Alicense-qualityCmaintenanceAn interface for managing and querying MariaDB databases that supports standard SQL operations alongside advanced vector and embedding-based search capabilities. It enables AI assistants to seamlessly integrate relational and vector data workflows through a standardized protocol.189MIT- Alicense-qualityDmaintenanceA Machine Control Protocol (MCP) server that enables storing and retrieving information from a Qdrant vector database with semantic search capabilities.Apache 2.0
- Alicense-qualityDmaintenanceA high-performance FastAPI server supporting Model Context Protocol (MCP) for seamless integration with Large Language Models, featuring REST, GraphQL, and WebSocket APIs, along with real-time monitoring and vector search capabilities.8MIT
- Alicense-quality-maintenanceA Python server that enables retrieval-augmented generation through semantic, question/answer, and style search modalities using PostgreSQL and pgvector for embedding storage and retrieval.2Apache 2.0
- Alicense-qualityCmaintenanceA server component of the Model Context Protocol that provides intelligent analysis of codebases using vector search and machine learning to understand code patterns, architectural decisions, and documentation.12MIT
- Alicense-qualityCmaintenanceMCP server for Qdrant vector database with local BERT embeddings. Enables semantic search and vector storage operations through natural language.MIT
- Alicense-qualityCmaintenanceEnables interaction with DataStax Astra DB through the Model Context Protocol. Provides database connectivity and operations for Astra DB instances via secure token-based authentication.1MIT
- Alicense-qualityAmaintenanceMCP server for Milvus vector database enabling vector search, text search, and hybrid search operations.Apache 2.0
- Alicense-qualityDmaintenanceEnables AI assistants to interact with MariaDB databases through standard SQL operations and advanced vector/embedding-based search. Supports database management, schema inspection, and semantic document storage and retrieval with multiple embedding providers.MIT
- Alicense-qualityCmaintenanceEnables semantic search, recommendations, and similar crate lookups for Rust crates via vector embeddings.MIT
- Alicense-qualityBmaintenanceEnables AI development tools to perform semantic search and document relationship analysis on vectorized content stored in Qdrant databases.48Apache 2.0
- Alicense-qualityDmaintenanceEnables querying a hybrid system that combines Neo4j graph database and Qdrant vector database for powerful semantic and graph-based document retrieval through the Model Context Protocol.63MIT
- Alicense-qualityCmaintenancePersistent memory for AI agents. Store and semantically search memories via REST API or MCP. Free tier available.MIT
- Alicense-qualityDmaintenanceAn MCP server that enables AI assistants to directly interact with Elasticsearch for searching, aggregating, and retrieving documents from indices, supporting full-text search, semantic search, and various query modes.15MIT
- Alicense-qualityAmaintenancetxtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows. All functionality can be served via it's API and the API supports MCP. Docs: https://neuml.github.io/txtai/api/mcp/12,881Apache 2.0
- Alicense-qualityBmaintenanceUpload documents (Word, Excel, PDF, PowerPoint) to a vector RAG store and perform semantic search with page-level citations. Queries are free; ingestion costs credits at break-even pricing.MIT
- Alicense-qualityDmaintenanceEnables semantic search and management of documentation through vector similarity using Qdrant and Ollama/OpenAI embeddings.15Apache 2.0