MemFlow MCP - A Model Context Protocol server for seamless memory management with intelligent search
Memflow MCP becomes available to MCP clients through the memflow mcp mcp server. MemFlow MCP - A Model Context Protocol server for seamless memory management with intelligent search.
A Model Context Protocol (MCP) server that enables Large Language Models to store and retrieve persistent memories with intelligent search capabilities.
MemFlow MCP provides seamless integration between LLMs like Claude and your Memory Bank API, allowing for persistent memory management across conversations. The server supports adding memories with tags, semantic search, and flexible memory retrieval.
Once connected, the assistant can call these 3 tools directly:
addMemory — Store content with optional tagssearchMemory — Search memories with semantic matchinglistMemories — Browse stored memories with filteringThe server is distributed via npm as memflow-mcp, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Before the server will start you need to supply 2 environment variables: MEMBANK_API_URL, MEMBANK_API_KEY. Keep credentials in your client's env block or a secrets manager rather than committing them.
Knowledge and memory servers address the most frustrating trait of language models — walking into every conversation with no recollection of the last one. Memflow MCP sits in that group, and the shape of its toolset — addMemory, searchMemory, listMemories — tells you what it is really for. Worth comparing against the other knowledge memory servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| addMemory | Store content with optional tags |
| searchMemory | Search memories with semantic matching |
| listMemories | Browse stored memories with filtering |
Then configure Claude Desktop:
```json
{
"mcpServers": {
"memflow": {
"command": "/your/npx/path",
"args": ["-y", "memflow-mcp"],
"env": {
"MEMBANK_API_URL": "http://localhost:3000"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| MEMBANK_API_URL | Endpoint or connection string the server talks to. | Yes |
| MEMBANK_API_KEY | Credential the server authenticates with. | 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.