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 |
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 | |
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/mosif16/RLM-Mem_MCP'
If you have feedback or need assistance with the MCP directory API, please join our Discord server