Manages memory banks, enabling AI assistants to store and retrieve information across sessions for maintaining context.
Memory Bank MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Manages memory banks, enabling AI assistants to store and retrieve information across sessions for maintaining context.
Memory Bank Server provides a set of tools and resources for AI assistants to interact with Memory Banks. Memory Banks are structured repositories of information that help maintain context and track progress across multiple sessions.
Once Memory Bank is connected, these are the calls the assistant has available:
Benefits — For more details, see Memory Bank Status Prefix System@movibe/memory-bank-mcp on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Memory Bank's toolset — Benefits — is a fair guide to whether it matches your workflow. It is maintained by movibe; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Benefits | For more details, see [Memory Bank Status Prefix System](docs/memory-bank-status-prefix.md). |
{
"mcpServers": {
"memory-bank-2": {
"command": "npx",
"args": ["-y", "@movibe/memory-bank-mcp"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
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.