RLM-Mem MCP Server
by mosif16
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| RLM_MODEL | No | Model for RLM processing | x-ai/grok-code-fast-1 |
| RLM_CACHE_TTL | No | Cache TTL (5m or 1h) | 5m |
| RLM_USE_CACHE | No | Enable prompt caching | true |
| ANTHROPIC_API_KEY | No | Your Anthropic API key (alternative to OpenRouter) | |
| OPENROUTER_API_KEY | No | Your OpenRouter API key | |
| RLM_OVERLAP_TOKENS | No | Overlap tokens between chunks | 200 |
| RLM_AGGREGATOR_MODEL | No | Model for final aggregation | x-ai/grok-code-fast-1 |
| RLM_ENABLE_TELEMETRY | No | Enable usage telemetry for license compliance | false |
| RLM_MAX_CHUNK_TOKENS | No | Max tokens per chunk | 8000 |
| RLM_MAX_RESULT_TOKENS | No | Max tokens in result | 4000 |
| RLM_ORGANIZATION_NAME | No | Organization name for commercial licensing | |
| RLM_LICENSE_SERVER_URL | No | License validation server URL | https://recordandlearn.info/license |
| RLM_COMMERCIAL_LICENSE_KEY | No | Commercial license key for revenue sharing |
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 |
|---|---|
No tools | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
This server cannot be deployed
Maintenance
ActivityInactive
ResponsivenessNo issues