LLM Memory
Connect Memgpt to Claude, Cursor or any other MCP client and it stops being a tab you switch to. LLM Memory. The memgpt mcp server is what makes that connection.
A TypeScript-based MCP server that implements a memory system for LLMs. It provides tools for chatting with different LLM providers while maintaining conversation history.
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:
chat — Send a message to the current LLM providerget_memory — Retrieve conversation historyclear_memory — Clear conversation historyuse_provider — Switch between different LLM providersuse_model — Switch to a different model for the current providerclaude-3-haiku — Fastest response times, ideal for tasks like customer support and content moderationclaude-3-sonnet — Balanced performance for general-purpose useclaude-3-opus — Advanced model for complex reasoning and high-performance tasksclaude-3.5-haiku — Enhanced speed and cost-effectivenessclaude-3.5-sonnet — Superior performance with computer interaction capabilitiesOpenAI — 'gpt-4o', 'gpt-4o-mini', 'gpt-4-turbo'OpenRouter — Any model in 'provider/model' format (e.g., 'openai/gpt-4', 'anthropic/claude-2')Configuration is passed through the environment: OPENAI_API_KEY, ANTHROPIC_API_KEY, OPENROUTER_API_KEY. 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.
Among 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. Memgpt's toolset — chat, get_memory, clear_memory and 11 more — is a fair guide to whether it matches your workflow. It is maintained by Vic563; 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 |
|---|---|
| chat | Send a message to the current LLM provider |
| get_memory | Retrieve conversation history |
| clear_memory | Clear conversation history |
| use_provider | Switch between different LLM providers |
| use_model | Switch to a different model for the current provider |
| claude-3-haiku | Fastest response times, ideal for tasks like customer support and content moderation |
| claude-3-sonnet | Balanced performance for general-purpose use |
| claude-3-opus | Advanced model for complex reasoning and high-performance tasks |
| claude-3.5-haiku | Enhanced speed and cost-effectiveness |
| claude-3.5-sonnet | Superior performance with computer interaction capabilities |
| OpenAI | 'gpt-4o', 'gpt-4o-mini', 'gpt-4-turbo' |
| OpenRouter | Any model in 'provider/model' format (e.g., 'openai/gpt-4', 'anthropic/claude-2') |
| Ollama | Any locally available model (e.g., 'llama2', 'codellama') |
| Tools | The Tools tool exposed by this server. |
| Variable | Description | Required |
|---|---|---|
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| ANTHROPIC_API_KEY | Credential the server authenticates with. | Yes |
| OPENROUTER_API_KEY | Credential the server authenticates with. | Yes |
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.