"Sauce Labs" matching MCP servers:

Provides local-first, zero-LLM memory retrieval for AI agents like Claude Code and Codex, enabling verbatim recall of stored notes and context through tools such as fidelis_recall and fidelis_orient.

Provides LLM access to Exasol database via MCP tools, including metadata reading and data queries, with an optional on-premise text-to-SQL (Governed SQL) translation.

RAG Knowledge - MCP server providing AI-powered tools and automation by MEOK AI Labs

RAG Knowledge Graph - MCP server providing AI-powered tools and automation by MEOK AI Labs

Durable memory MCP server for AI agents. Temporal knowledge graph with hybrid semantic + keyword retrieval, LLM-powered fact extraction, conflict detection, and consolidation. Backed by SQLite or PostgreSQL. 11 MCP tools, 6 LLM provider backends. Part of JamJet.

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.

Connects AI agents to persistent topological memory on the Volumetric Lattice Network, enabling sub-5ms associative recall and storage of facts, documents, and code.

Enables agents to store and recall long-term memories by semantic relevance rather than exact keywords, with writes gated by verbatim evidence and separate memory stores per agent mode.

Federated, local-first search for AI agents: one query fans across transcripts, files, a knowledge graph, a vector store, the live web, and YouTube, fused by trust-weighted RRF into one ranked answer. Five modes (grep/lexical/semantic/hybrid/rerank), runs entirely on your machine over MCP.

MCP server that acts as a research intelligence agent, converting natural language queries into SQL or full-text search against Hacker News and arXiv data, and returning answers with supporting evidence.

A Model Context Protocol (MCP) server that provides search and crawl functionality using Search1API.

Enables persistent session memory for LLMs by trust-scoring and injecting verified context between conversations.

Durable hybrid memory for AI agents. Combines vector search, BM25, temporal retrieval, and optional Memgraph knowledge graph via reciprocal rank fusion. 6 MCP tools: health, search, answer, feedback, graph_query, graph_add_triple. Self-hosted with Qdrant backend.

An MCP server that serves documentation and enables AI-powered search, Q\&A, and document analysis for developer tools and guides.

Semantic search across Claude Code conversations. Hybrid vector + keyword search, fully local, background indexing.

Enables local semantic search over documents and code for Claude Code and Claude Desktop, running entirely offline with local embeddings and vector storage.

A local web search MCP server supporting parallel, API, and model-based search modes, integrating Zhipu Web Search API and online models for real-time information retrieval.

An implementation of the Model Context Protocol (MCP) server for SingleStore that enables natural language interaction with SingleStore databases through compatible LLM clients like Claude Desktop and Cursor.

Config-driven MCP server for cross-domain full-text search across agent session logs, meeting transcripts, and notification files.

Shared fleet memory for AI agents — what one agent learns, the whole fleet knows. Nightly self-correction: stale facts rewritten in place, duplicates merged. Recall pushed into every prompt in supported coding agents. Self-hosted.