Enables Claude, and other Model Context Protocol (MCP) clients, to manage and access memories stored in a simple text file for enhanced context
Connect Memory File to Claude, Cursor or any other MCP client and it stops being a tab you switch to. Enables Claude, and other Model Context Protocol (MCP) clients, to manage and access memories stored in a simple text file for enhanced context during conversations. The memory file mcp server is what makes that connection.
This is an MCP server to interact with a memory text file to help Claude with inter-chat context.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Training — OpenAI acknowledges some training of models to know when to store memories. Just like models are trained for tool usePrompt — A system prompt component likely contains a reminder to trigger storing memoriesAmong the AI and media services 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 File's toolset — Training, Prompt — is a fair guide to whether it matches your workflow. It is maintained by g0t4; 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 |
|---|---|
| Training | OpenAI acknowledges some training of models to know when to store memories. Just like models are trained for tool use. |
| Prompt | A system prompt component likely contains a reminder to trigger storing memories. |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.