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MCP servers tagged embedding
17 live MCP servers tagged "embedding", ranked by trust score. Tags come from package metadata and repository topics, so this list covers servers across every category that work with embedding.
Ultrarag
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Telegram Search
🔍 导出并模糊搜索 Telegram 聊天记录 | Export and fuzzy search your Telegram chat history
devflowinc/trieve
All-in-one platform for search, recommendations, RAG, and analytics offered via API
Solon AI
Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFina…
Nosia
Self-hosted AI RAG + MCP Platform
Ai4j
一款JavaSDK用于快速接入AI大模型应用，整合多平台大模型，如OpenAi、智谱Zhipu(ChatGLM)、深度求索DeepSeek、月之暗面Moonshot(Kimi)、腾讯混元Hunyuan、零一万物(01)等等，提供统一的输入输出(对齐OpenAi)消除差异化，优化函数调用(Tool Call)，优化RAG调用、支持向量数据库(Pinecone…
Embedding Atlas
Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.
Context Lens
Semantic search knowledge base for MCP-enabled AI assistants. Index local files or GitHub repos, query with natural language. Built on LanceDB vector storage. Works with Claude De…
Redis Vl Python
Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.
Codeseek
Rust-powered code intelligence CLI for AI coding agents. Builds call graphs and hybrid semantic search indexes (Dense + Sparse + RRF + Reranker) across 7 languages. Ships as nativ…
Starepo
Search your GitHub stars with semantic search
Synaptic Memory
Brain-inspired knowledge graph: spreading activation, Hebbian learning, memory consolidation.
Specmem
SpecMem - TRUE Semantic Memory for Claude Code - Runs locally - Remembers your code base - Per-project isolation, semantic search, team coordination. https://justcalljon.pro
Fnord
Fnord is an AI code archaeologist.
Engram Memory Community
The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less tokens.
Kb MCP
MCP server for semantic hybrid search (sqlite-vec + FTS5 with optional cross-encoder reranking) over a Markdown / plain-text knowledge base
LLM Kernel
Rust foundation library for AI-native apps — 16-provider catalog, async LLM client, MCP server, knowledge graph, local ONNX embedding (44 models), and safety utilities