Searching for technologies and tools related to embeddings and vector databases

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Searching for technologies and tools related to embeddings and vector databases

View all MCP Servers

Why this server?
This server features vector search capabilities, which are relevant to embeddings.
MyAIServ MCP Server
eagurin
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security
A
license
-
quality
A 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.
Last updated -
5
Python
MIT License
Why this server?
This server creates a vector store for markdown, html, and text files.
Simple Files Vector Store Server
lishenxydlgzs
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security
A
license
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quality
A very simple vector store that provides capability to watch a list of directories, and automatically index all the markdown, html and text files in the directory to a vector store to enhance context.
Last updated -
123
16
TypeScript
MIT License
Why this server?
This server is for advanced retrieval, text chunking.
Vectorizeofficial
vectorize-io
A
security
A
license
A
quality
Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.
Last updated -
3
15
17
JavaScript
MIT License
Why this server?
This server enables saving, searching, and formatting memories with semantic understanding, using vector embeddings for meaning-based search.
Memory Box MCP Server
amotivv
A
security
A
license
A
quality
Cline MCP integration that allows users to save, search, and format memories with semantic understanding, providing tools to store and retrieve information using vector embeddings for meaning-based search.
Last updated -
6
1
JavaScript
MIT License
Why this server?
This server facilitates knowledge graph representation with semantic search using Qdrant.
MCP Memory Server with Qdrant Persistence
delorenj
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security
F
license
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quality
Facilitates knowledge graph representation with semantic search using Qdrant, supporting OpenAI embeddings for semantic similarity and robust HTTPS integration with file-based graph persistence.
Last updated -
33
4
TypeScript
Why this server?
The MCP Server for Weaviate facilitates integration with Weaviate databases.
MCP Server Weaviateofficial
weaviate
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security
F
license
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quality
The MCP Server for Weaviate facilitates integration with Weaviate using a customizable Python-based server, enabling interaction with Weaviate databases and OpenAI APIs via configurable URL and API keys.
Last updated -
126
Go
Why this server?
This server provides vector database capabilities through Chroma, enabling semantic document search.
Chroma MCP Server
privetin
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security
A
license
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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 -
17
Python
MIT License
Why this server?
MCP server that retrieves and processes documentation through vector search, and uses Ollama or OpenAI to generate embeddings.
@sanderkooger/mcp-server-ragdocs
sanderkooger
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security
A
license
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quality
An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context. Uses Ollama or OpenAI to generate embeddings. Docker files included
Last updated -
19
14
TypeScript
MIT License
Why this server?
This is an example of how to create a MCP server for Qdrant, a vector search engine.
mcp-server-qdrantofficial
qdrant
A
security
A
license
A
quality
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Last updated -
2
615
Python
Apache 2.0
Why this server?
Enables searching and accessing arXiv research papers.
ArXiv MCP Server
huanongfish
A
security
A
license
A
quality
Enables AI assistants to search and access arXiv research papers through a simple Message Control Protocol interface, allowing for paper search, download, listing, and reading capabilities.
Last updated -
4
1
Python
Apache 2.0

Searching for technologies and tools related to embeddings and vector databases

MyAIServ MCP Server

Simple Files Vector Store Server

Vectorizeofficial

Memory Box MCP Server

MCP Memory Server with Qdrant Persistence

MCP Server Weaviateofficial

Chroma MCP Server

@sanderkooger/mcp-server-ragdocs

mcp-server-qdrantofficial

ArXiv MCP Server