neo4j Reviews

GitHub MCP Server Reviews

neo4j mentions (36)

• How to give Claude Code persistent memory with a self-hosted mem0 MCP server

  The stack runs on Qdrant for vector storage, Ollama for local embeddings, and optional Neo4j for a knowledge graph that I added later. I also set it up to route different operations to the best LLM for each task. It provides eleven tools for your Claude Code instance to manage long-term memory operations, and your memories data never leaves your machine. - Source: dev.to / 6 months ago

• The Context Graph Manifesto

  Perhaps the biggest promoter of the term has been Philip Rathle from Neo4j, which offers the best-known graph database system for storing knowledge graphs. But here's where the confusion starts: Is a knowledge graph something you store, or is it how you store something? It's not just a knowledge graph—it's also a graph database. That distinction matters, but the boundaries are blurry. - Source: dev.to / 8 months ago

• 6 retrieval augmented generation (RAG) techniques you should know

  The key difference lies in the retrieval mechanism. Vector databases focus on semantic similarity by comparing numerical embeddings, while graph databases emphasize relations between entities. Two solutions for graph databases are Neptune from Amazon and Neo4j. In a case where you need a solution that can accommodate both vector and graph, Weaviate fits the bill. - Source: dev.to / over 1 year ago

• LLM to extract and auto generate knowledge graph - step by step, in ~100 lines of python

  Neo4j is a leading graph database that is easy to use and powerful for knowledge graphs. - Source: dev.to / over 1 year ago

• 10 Ways AI Can Speed Up your Mobile App Development

  Neo4j is one of the most popular graph databases. It offers powerful querying capabilities through its Cypher query language. - Source: dev.to / over 1 year ago

GitHub MCP Server mentions (18)

• Do unused MCP tools cost you money?

  I have a small "GitHub summarizer" agent: one system prompt, one job — answer questions about my GitHub account by calling the GitHub MCP server. I duplicated its configuration (MAVERIK supports this directly — same model, same prompt, same everything) and changed one field on the copy: the set of attached MCP servers, adding deepwiki, microsoft-learn, and context7. Neither agent needs any of those three for the... - Source: dev.to / 13 days ago

• Every API Will Be Rebuilt for Agents

  GitHub's official MCP server is excellent — and GitHub is narrowing its default toolset and consolidating PR tools into fewer, more capable ones, explicitly to cut tool bloat and improve agent reasoning. The implication is hard to miss: even one of the best API companies on the planet is learning that a 1:1 mapping from product API to agent tools isn't the right shape. - Source: dev.to / about 2 months ago

• Your AI Agent Has Push Access to Every Repo

  The official GitHub MCP server registers 83 tools. Most people set it up for reading code and managing issues. What they don't realise is they've also handed their agent the keys to:. - Source: dev.to / about 2 months ago

• Helping Claude Do Its Best Work

  A lot of people use MCP servers to connect Claude to tools. I'm not generally a fan. MCP servers load a lot of information into context and often don't do everything that the API can. Last I looked, even the official Github MCP Server is guilty of this. I'd rather write tools directly, to my specifications. - Source: dev.to / 4 months ago

• Kiro showcase: Automating Changes Across Several Repos with Spec-Driven Development and Custom Sub-Agents

  Rather than manually searching through repositories, I used Kiro with the GitHub MCP server to:. - Source: dev.to / 4 months ago