A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
116 โ ยท memgraph/ai-toolkit ยท read from the GitHub search API ยท (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list ยท type: MCP server
Harvest history
first seen 2026-10-09 ยท last seen 2026-10-16 ยท seen 32ร ยท listed by 7 sources
Score
score 703 ยท 116 โ ยท 7 sources ยท mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP ๆๅก. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository memgraph/ai-toolkit๏ผfirst catalogued 2026-10-09๏ผlast seen 2026-10-16ใThere is no official certification or quality rating here โ we record sources and dates only.
Build powerful AI applications with graph-powered RAG using Memgraph. This toolkit provides everything you need to integrate knowledge graphs into your GenAI workflows. ๐ Quick Setup Start Memgraph Install Packages --- ๐ Usage Examples Context Graph - Capture Your Agent Sessions Turn your coding agents' sessions (Claude Code, Codex, Copilot CLI, Cursor, OpenCode, Antigravity CLI, Grok Build) into a queryable knowledge graph. Every session records the tools it called, the skills it used, and the memories it wrote โ all joined on a shared (:Session) node in Memgraph. One command finds or starts Memgraph, wires every agent it finds, sets your identity and checks the result (interactive on a terminal): Query across every session โ e.g. which skills a user has used: ๐ Context Graph guide โ components, Codex setup, SDK usage, and reconciling sessions into an entity graph. --- unstructured2graph - Build Knowledge Graphs from Documents Transform PDFs, URLs, and documents into queryable knowledge graphs: extraction_backend is pluggable โ LightRAGBackend (LLM-based, shown above) or GLiNER2Backend (local, LLM-free) โ see unstructured2graph ยง choosing an extraction backend. ๐ Full Documentation | Examples --- langchain-memgraph - LangChain Integration Natural Language Queries with MemgraphQAChain Build Agents with MemgraphToolkit ๐ Full Documentation --- mcp-memgraph - Model Context Protocol Server Expose Memgraph to LLMs via MCP. Run with Docker: **Available Tools:** | Tool | Description | | ------------------------ | ----------------------------------------------------- | | run_query | Execute Cypher queries | | search_schema | Search the graph schema by regex pattern | | get_node_schema | Get full schema definition of a node by its labels | | get_relationship_schema| Get full schema definition of a relationship | | get_enum_schema | Get schema definition of an enum by its name | ๐ Full Documentation --- sql2graph Agent - Automated Database Migration Migrate from MySQL/PostgreSQL to Memgraph with AI assistance: ๐ Full Documentation --- ๐ ๏ธ Packages Overview | Package | Description | Install | | ------------------------------------------------------- | ---------------------------- | -------------------------------- | | memgraph-toolbox | Core utilities for Memgraph | pip install memgraph-toolbox | | langchain-memgraph | LangChain tools and chains | pip install langchain-memgraph | | mcp-memgraph | MCP server for LLMs | pip install mcp-memgraph | | unstructured2graph | Document to graph conversion | pip install unstructured2graph | | lightrag-memgraph | LightRAG storage on Memgraph | pip install lightrag-memgraph | | sql2graph | Database migration agent | See docs | Context Graph โ capture agent sessions A family of components that persist your coding-agent sessions (Claude Code, Codex, Copilot CLI, Cursor, OpenCode, Antigravity CLI, Grok Build) into one Memgraph graph. See the Context Graph guide. | Package | Description | Install | | --------------------------------------------------------------- | ---------------------------------------------- | ----------------------------------- |