Memgraph plugins
The Memgraph marketplace has the plugins that help AI coding agents such as Claude Code and Codex build with Memgraph:
memgraphgives the agent what it needs to build with Memgraph, in one install:- Agent Skills: Memgraph-specific knowledge the agent loads when a task needs it, for example when writing Cypher, designing a graph model or running a MAGE algorithm.
- The Docs MCP server: the agent looks up the current docs instead of answering from memory.
- The Memgraph MCP server: the agent reads your schema and runs queries on your Memgraph.
- An onboarding: ask “Get started with Memgraph”, and the agent starts Memgraph and Memgraph Lab in Docker, loads a sample dataset you pick, and runs a first query and a graph algorithm.
context-graphgives your agents AI memory across sessions. It’s optional, so nothing is recorded unless you install it.
With other agents, such as Cursor, install the skills alone.
Install in Claude Code and Codex
Add the Memgraph marketplace, then install the memgraph plugin.
In Claude Code:
/plugin marketplace add memgraph/marketplace
/plugin install memgraph@memgraphIn Codex:
codex plugin marketplace add memgraph/marketplace
codex plugin add memgraph@memgraphThen, with Docker running, ask your agent “Get started with Memgraph”. In
Codex, start the agent with codex -a on-request, so it can ask to run Docker
outside its sandbox.
The Memgraph MCP server runs with uvx, so it needs
uv. It connects to bolt://localhost:7687; to
use another Memgraph, set MEMGRAPH_URL before you start the agent.
If you added memgraph/skills as a marketplace before, remove it first
(/plugin marketplace remove memgraph in Claude Code, codex plugin marketplace remove memgraph in Codex), then add memgraph/marketplace.
Other agents: skills only
The skills follow the open Agent Skills specification, so they work with any agent that supports it. To give the agent the docs as well, add the Docs MCP server.
With the skills CLI
Install all skills with the skills CLI:
npx skills add memgraph/skillsTo install a single skill, pass its name:
npx skills add memgraph/skills --skill memgraph-cypher-syntaxThe command asks which skills and agents to install. To install without
prompts, for example from a script or from inside a coding agent, name the
skills and the agent and pass --yes:
npx skills add memgraph/skills --skill '*' --agent claude-code --yes'*' installs all skills. Replace claude-code with your agent’s name in the
skills CLI, such as cursor or codex.
Manual install
Clone the repository and symlink the skills directory into the location your
agent scans, for example .claude/skills for Claude Code or .cursor/skills
for Cursor:
git clone https://github.com/memgraph/skills.git ~/.memgraph-skills
cd /path/to/your/project
ln -s ~/.memgraph-skills/skills .claude/skillsAI memory
The context-graph plugin lets your agents remember what they did in earlier
sessions, with AI memory. It needs the Context Graph
CLI, so install it with its setup: one command installs the CLI, starts its own
Memgraph and connects your agents, plugin included. See Get started with
Context Graph.
Available skills
| Skill | Use it when you need to |
|---|---|
memgraph-cypher-syntax | Write, fix or optimize Cypher for Memgraph, including BFS/DFS/WSP lambdas, text search and vector search |
memgraph-model-graph-data | Design a graph data model, decide between properties and relationships, or import CSV/Parquet data |
memgraph-import-data | Load or migrate data from CSV, Parquet, JSON, CYPHERL, relational databases or Neo4j, and verify the import |
memgraph-indexes-and-constraints | Create and manage indexes, constraints and enums, and run ANALYZE GRAPH |
memgraph-database-configuration | Configure triggers, transactions, isolation levels, storage modes, snapshots, WAL and memory |
memgraph-run-mage-algorithms | Run MAGE algorithms such as PageRank, community detection, centrality, embeddings and path traversals |
memgraph-graph-rag | Build a GraphRAG system: schema design, ingestion, hybrid retrieval and agent tool contracts |
memgraph-python-query-modules | Build custom query modules in Python with the mgp API |
memgraph-cpp-query-modules | Build custom query modules in C++ with the mgp.hpp API |
memgraph-rust-query-modules | Build custom query modules in Rust with the rsmgp-sys API |
memgraph-mgconsole-cli | Connect with mgconsole, run queries and configure output |
memgraph-lab-write-gss | Style graph visualizations in Memgraph Lab with Graph Style Script (GSS) |
memgraph-brand-ui | Generate UIs, dashboards and diagrams in the Memgraph brand style |
memgraph-start | Get started: run Memgraph and Memgraph Lab in Docker, load a sample dataset, and run a first query and a graph algorithm |
The full content of each skill is in the memgraph/skills repository.