MCP tool for distributed graph memory bank storage in KuzuDB for coding agents
MCP tool for distributed graph memory bank storage in KuzuDB for coding agents. That is what the kuzumem mcp mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
A TypeScript implementation of a distributed memory bank as an MCP (Model Context Protocol) tool, storing memories in a KùzuDB graph database with repository and branch filtering capabilities. Branch isolation is achieved by using a graph-unique identifier for entities, enabling a centralized memory bank while allowing repository-specific and branch-specific views. Fully compliant with MCP specification for seamless integration with IDEs and AI agents.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
The server publishes 1 tool. What each one is for:
Features — The Features tool exposed by this serverConfiguration is passed through the environment: PORT, HOST, DB_FILENAME, HTTP_STREAM_PORT, OPENAI_API_KEY, ANTHROPIC_API_KEY, OPENAI_BASE_URL, ANTHROPIC_BASE_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
This sits in the knowledge and memory group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. KuzuMem MCP's toolset — Features — is a fair guide to whether it matches your workflow. It is maintained by Jakedismo; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Features | The Features tool exposed by this server. |
| Variable | Description | Required |
|---|---|---|
| PORT | Configuration value read at startup. | Optional |
| HOST | Endpoint or connection string the server talks to. | Optional |
| DB_FILENAME | Configuration value read at startup. | Optional |
| HTTP_STREAM_PORT | Configuration value read at startup. | Optional |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| ANTHROPIC_API_KEY | Credential the server authenticates with. | Yes |
| OPENAI_BASE_URL | Endpoint or connection string the server talks to. | Yes |
| ANTHROPIC_BASE_URL | Endpoint or connection string the server talks to. | Yes |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.