A complete Python port of the official [TypeScript MCP memory server](https://github.com/modelcontextprotocol/servers/tree/main/src/memory). This
Connect Memory Py to Claude, Cursor or any other MCP client and it stops being a tab you switch to. A complete Python port of the official TypeScript MCP memory server. This server provides knowledge graph storage and retrieval capabilities via the Model Context. The memory py mcp server is what makes that connection.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Prerequisites — The Prerequisites tool exposed by this serverContributing — 1. Maintain compatibility with the TypeScript version 2. Follow Python best practices and PEP 8 3. Add comprehensive error handling 4. UpdateConfiguration is passed through the environment: MEMORY_FILE_PATH. 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.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
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. Memory Py's toolset — Prerequisites, Contributing — is a fair guide to whether it matches your workflow. It is maintained by jason-c-dev; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Memory Py's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
| Contributing | 1. Maintain compatibility with the TypeScript version 2. Follow Python best practices and PEP 8 3. Add comprehensive error handling 4. Update documentation for any changes 5. Test on macOS (primary supported platform) |
| Variable | Description | Required |
|---|---|---|
| MEMORY_FILE_PATH | Filesystem location the server is allowed to use. | Optional |
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.