Semantic search, RAG, and memory systems

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Semantic search, RAG, and memory systems

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Why this server?
This server is a strong match as its description explicitly mentions 'semantic search' and 'ChromaDB vector storage', which are fundamental components of RAG and memory systems.
PDF Knowledgebase MCP Server
juanqui
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security
A
license
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quality
A Model Context Protocol server that enables intelligent document search and retrieval from PDF collections, providing semantic search capabilities powered by OpenAI embeddings and ChromaDB vector storage.
Last updated -
7
MIT License
Why this server?
This is an excellent fit as it explicitly mentions implementing a 'RAG (Retrieval-Augmented Generation) system' for querying documents with context.
MCP Docs RAG Server
kazuph
A
security
F
license
A
quality
A TypeScript MCP server that allows querying documents using LLMs with context from locally stored repositories and text files through a RAG (Retrieval-Augmented Generation) system.
Last updated -
4
14
Why this server?
This server is highly relevant, mentioning both 'semantic search' and team 'memories', addressing two of the user's key search terms directly.
Collective Brain MCP Server
bparpette
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security
F
license
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quality
Enables teams to create a shared knowledge base where members can store, search, and validate information collectively. Provides semantic search across team memories with granular permissions and collaborative verification features.
Last updated -
1
Why this server?
This server explicitly covers 'RAG' capabilities with 'semantic code search' using AI 'embeddings', linking all three core themes.
Codebase RAG MCP Server
allentcm
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security
F
license
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quality
Enables semantic search and retrieval of code files using embeddings stored in PostgreSQL. Supports intelligent codebase exploration through natural language queries, file listing, and content retrieval.
Last updated -
8
Why this server?
An excellent match as it describes a 'persistent memory system' with 'vector search' and 'semantic knowledge storage', covering memory, semantic search, and the technology (vectors) used in RAG.
MCP Memory LibSQL Go
ZanzyTHEbar
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security
A
license
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quality
🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.
Last updated -
5
MIT License
Why this server?
This server acts as a personal AI 'memory system' using a 'knowledge graph database' that enables 'semantic search', directly matching all concepts requested.
Chimera MCP Server
Hank-coder
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security
F
license
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quality
A personal AI memory system that creates a cognitive hub connecting to Notion, enabling semantic search and relationship navigation of your knowledge through a graph database for AI assistants.
Last updated -
1
Why this server?
This server is explicitly designed around 'Retrieval-Augmented Generation (RAG)' integrated with the Model Control Protocol.
RAG-MCP Server
plaban1981
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security
A
license
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quality
A server that integrates Retrieval-Augmented Generation (RAG) with the Model Control Protocol (MCP) to provide web search capabilities and document analysis for AI assistants.
Last updated -
4
Apache 2.0
Why this server?
This server provides 'vector database' capabilities and enables 'semantic search', both of which are central to RAG and effective memory systems.
Chroma MCP Server
privetin
A
security
A
license
A
quality
A Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.
Last updated -
6
39
MIT License
Why this server?
This focuses on 'lightweight short-term memory' and recalling 'working context' and 'session state' for AI agents, which is essential for managing context and memory in RAG architectures.
COA Goldfish MCP
anortham
A
security
A
license
A
quality
A lightweight short-term memory MCP server that automatically stores and recalls working context, session state, and task progress for AI agents. Memories auto-expire after 24 hours and integrate seamlessly with workspace-aware storage across multiple projects.
Last updated -
10
MIT License
Why this server?
This resource provides 'advanced document search and processing capabilities through vector stores' and 'semantic search', indicating strong RAG and memory components.
MCP VectorStore Server
BierschneiderEmanuel
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security
A
license
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quality
Provides advanced document search and processing capabilities through vector stores, including PDF processing, semantic search, web search integration, and file operations. Enables users to create searchable document collections and retrieve relevant information using natural language queries.
Last updated -
MIT License