Memory-MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| EMBEDDING_DIM | No | Embedding dimensions | 1024 |
| GOOGLE_API_KEY | No | Google Gemini API key (required if using Google as embedding provider or for LLM judge) | |
| EMBEDDING_MODEL | No | Embedding model name | qwen3-embedding:0.6b |
| OLLAMA_BASE_URL | No | Ollama API endpoint | http://localhost:11434 |
| EMBEDDING_PROVIDER | No | Embedding provider to use: 'ollama' or 'google' | ollama |
| LANCEDB_MEMORY_PATH | No | Database location for storing memories | ~/.memory-mcp/lancedb-memory |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| memory_saveA | Save a memory with semantic embedding. Use after learning something valuable. |
| memory_recallA | Hybrid search (vector + BM25) across ALL projects with neural reranking. |
| memory_recall_projectA | Hybrid search in CURRENT project only with neural reranking. |
| memory_deleteA | Delete a memory by ID. |
| memory_updateA | Update an existing memory. |
| memory_statsA | Get memory system statistics - total, by category, by project. |
| memory_healthA | Get memory system health status - indexes, database size, configuration. |
| memory_session_startA | Get project context at session start: recent memories + AI summary. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| memory_stats_resource | Memory statistics as a read-only resource. |
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