Mem0 MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MEM0_API_KEY | Yes | Mem0 platform API key (required) | |
| MEM0_DEFAULT_USER_ID | No | Default user_id injected into filters and write requests | mem0-mcp |
| MEM0_MCP_AGENT_MODEL | No | Default LLM for the bundled agent example | openai:gpt-4o-mini |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| add_memoryB | Store a new preference, fact, or conversation snippet. Requires at least one: user_id, agent_id, or run_id. |
| search_memoriesA | Run a semantic search over existing memories. |
| get_memoriesA | Page through memories using filters instead of search. |
| delete_all_memoriesC | Delete every memory in the given user/agent/app/run but keep the entity. |
| list_entitiesB | List which users/agents/apps/runs currently hold memories. |
| get_memoryB | Fetch a single memory once you know its memory_id. |
| update_memoryB | Overwrite an existing memory’s text. |
| delete_memoryB | Delete one memory after the user confirms its memory_id. |
| delete_entitiesA | Remove a user/agent/app/run record entirely (and cascade-delete its memories). |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| memory_assistant | Get help with memory operations and best practices. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 9 tools
Most tools have distinct purposes, but there is some potential confusion between get_memories (filtered listing) and search_memories (semantic search), as both involve retrieving memories with filters. The descriptions clarify the difference, but an agent might initially struggle to choose between them. Other tools like add_memory, delete_memory, and update_memory are clearly differentiated.
All tool names follow a consistent verb_noun pattern using snake_case, such as add_memory, delete_memory, and get_memories. This predictability makes it easy for agents to understand and use the tools without confusion about naming conventions.
With 9 tools, this server is well-scoped for memory management, covering core operations like adding, retrieving, updating, deleting, and searching memories, as well as entity management. Each tool serves a clear purpose without redundancy, making the count appropriate for the domain.
The tool set provides comprehensive coverage for memory management, including CRUD operations (add, get, update, delete), bulk and entity-level deletions, listing entities, and both filtered and semantic search capabilities. There are no obvious gaps, allowing agents to handle full memory lifecycles effectively.