r3 (Recall)
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| LOG_LEVEL | No | Verbosity of the server logs (e.g., info, debug, warn, error). | |
| REDIS_URL | No | Redis connection URL (e.g., redis://localhost:6379). If not provided, the server uses an embedded Redis instance. | |
| MEM0_API_KEY | No | API key for cloud backup and synchronization from mem0.ai. While the server can run locally without it, cloud features require this key. | |
| MEM0_USER_ID | No | Default user identifier for stored memories. | |
| CACHE_STRATEGY | No | Cache management strategy. Options typically include: aggressive, balanced, or conservative. | |
| MAX_CONNECTIONS | No | Maximum number of connections in the pool. |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| add_memoryB | Add memory with async processing and intelligent caching. Returns immediately while processing in background. |
| search_memoryC | Hybrid search with intelligent cache/cloud routing and relevance scoring |
| get_all_memoriesB | Get all memories with hybrid cloud/cache intelligence and pagination support |
| delete_memoryB | Delete memory with automatic cache invalidation |
| deduplicate_memoriesC | Find and merge duplicate memories |
| optimize_cacheC | Optimize cache with intelligent memory promotion and cleanup |
| cache_statsA | Get detailed cache performance statistics and health metrics |
| sync_statusB | Check background sync and job queue status |
| extract_entitiesB | Extract entities and relationships from text using NLP |
| get_knowledge_graphB | Get memories organized as a knowledge graph with entities and relationships |
| find_connectionsC | Find connections between entities in the knowledge graph |
| import_memoriesB | Bulk import memories from mem0 API or JSON file |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/n3wth/r3'
If you have feedback or need assistance with the MCP directory API, please join our Discord server