#neo4j

ATLAS: Task Management System

cyanheads

A Model Context Protocol (MCP) server for ATLAS, a Neo4j-powered task management system for LLM Agents - implementing a three-tier architecture (Projects, Tasks, Knowledge) to manage complex workflows. Now with Deep Research.

Neo4j MCP Clients & Servers

neo4j-contrib

Model Context Protocol with Neo4j

NeoCoder: Neo4j-Guided AI Coding Workflow

angrysky56

An MCP server allowing AI assistants to use a Neo4j knowledge graph as their primary, dynamic instruction manual and long term project memory with adaptive templating and autonomous tool development tools.

PrimeKG to Neo4j

dmigo

MCP Server for PrimeKG dataset

Neo4j MCP Server

Tobarrientos2

A Neo4j MCP server implementation for managing graph database operations through the Model Context Protocol

Vedaksha

arthiqlabs

Vedākṣha — Astronomical ephemeris and Vedic astrology platform. Clean-room Rust implementation with sub-arcsecond precision.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Neo4J (beta): https://www.cdata.com/download/download.aspx?sku=LNZK-V&type=beta

MCP Neo4j Remote Server

artur-nohup

Remote MCP Neo4j Memory Server with OAuth 2.1 and API Key Authentication - TypeScript implementation using FastMCP

mcp-neo4j-server-sse-java

dsimile

mcp-neo4j-server-sse-java is an MCP server implemented by Java using SSE (Server-Sent Events) server transport or STDIO transport as the transport protocol.

neo4j-server-remote

dsimile

mcp-neo4j-server-sse is an MCP server that uses Server-Sent Events (SSE) as the transport protocol.

MCP Neo4j Server

MCP-Mirror

Mirror of

🔍 MCP Server - Vector Search

omarguzmanm

MCP Server to improve LLM context through vector search.

🔍 MCP Server - Vector Search

miosomos

MCP Server to improve LLM context through vector search.

AI Engineer Neo4j Memory MCP Demo

a-s-g93

A short demo of the Neo4j Memory MCP server.

Attestor

bolnet

Audit-grade memory backbone for agent teams. Bi-temporal facts (event time + transaction time, with recall(as_of=...) replay), 6-step deterministic retrieval (no LLM in the critical path), conversation ingest with speaker-locked dual-pass extraction, per-tenant Postgres row-level

MCP Neo4j Server

da-okazaki

mcp-neo4j-server