"Elastic Stack" matching MCP servers:

An MCP server for semantic search and retrieval of indexed Slack messages stored in Qdrant using Cohere reranking via AWS Bedrock. It enables users to search through Slack history, retrieve full message threads, and access channel or user statistics through natural language.

Enables making REST API calls to Teradata cloud services including Elastic Compute, Vector Store, OMS, and QueryGrid. Supports custom authentication, Socks5 proxy, and multipart file uploads.

A remote MCP server enabling semantic memory across multiple AI platforms like Perplexity Comet and Claude Desktop, with vector embeddings for intelligent retrieval.

An Elasticsearch-based AI memory system optimized for Chinese that enables persistent knowledge storage and complex entity relationship management via the Model Context Protocol. It features advanced semantic search using the IK analyzer and supports multi-zone memory isolation for specialized knowledge graphs.

Exposes mempalace memory tools over HTTP MCP for agent consumption.

Enables RAG-based querying of local stock company data using a local LLM and vector database, providing tools to ask questions, search raw chunks, and list documents.

A Python MCP server that enables semantic search through Search Labs blog posts indexed in Elasticsearch, allowing Claude to intelligently retrieve relevant information from the blog content.

Enables Claude Code to store and recall persistent cross-session memories using a self-hosted stack of Qdrant, Neo4j, and Ollama, backed by Anthropic or a local LLM. Exposes 11 tools for adding, searching, updating, and deleting memories plus knowledge-graph entities, with optional session hooks that auto-inject context on startup and save summaries on exit.

Enables Claude Code to store and retrieve persistent memories across sessions using a self-hosted stack of Qdrant, Neo4j, and Ollama, with either Anthropic or local Ollama as the main LLM. Exposes 11 tools for adding, searching, updating, and deleting memories plus knowledge-graph entity and relationship queries, along with session hooks that auto-inject context on start and save summaries on exit.