evermemos-mcp-server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| EVERMEM_API_KEY | No | EverMemOS Cloud API Key. Required for cloud mode. | |
| EVERMEM_API_URL | No | API URL. Defaults to https://api.evermind.ai if API key is set, otherwise http://localhost:8001. | |
| EVERMEM_USER_ID | No | Default user ID. | windsurf_user |
| EVERMEM_GROUP_ID | No | Default project/group ID. | windsurf_project |
| EVERMEM_API_VERSION | No | API version. | v0 |
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| 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 |
|---|---|
| store_memoryA | Save a conversation message into EverMemOS long-term memory. Use this tool when the user shares important information that should be remembered across sessions, such as: project preferences, coding conventions, architecture decisions, deployment procedures, personal preferences, etc. Args: content: The message content to remember. Be specific and include key details. role: Who sent this message - "user" for human messages, "assistant" for AI responses. sender: User ID for memory ownership. Defaults to EVERMEM_USER_ID env var. group_id: Project/group identifier to organize memories. Defaults to EVERMEM_GROUP_ID env var. flush: If True, force immediate memory extraction instead of waiting for natural conversation boundary detection. |
| search_memoryA | Search EverMemOS for relevant memories based on a natural language query. Use this tool when you need to recall past context, such as: project setup details, user preferences, previous decisions, coding patterns, deployment steps, etc. Args: query: Natural language search query describing what you're looking for. user_id: User ID to search memories for. Defaults to EVERMEM_USER_ID env var. group_id: Optional project/group filter to narrow search scope. retrieve_method: Search strategy - "keyword" (BM25, default), "vector" (semantic), "hybrid" (keyword+vector+rerank, requires rerank service), "rrf" (fusion), "agentic" (LLM-guided multi-round). top_k: Maximum number of results to return (1-20). |
| get_memoriesA | Retrieve stored memories by user ID and type. Use this tool to browse a user's memory collection without a specific search query. Args: user_id: User ID to fetch memories for. Defaults to EVERMEM_USER_ID env var. memory_type: Type of memory to retrieve - "episodic_memory" (conversation summaries), "foresight" (predicted future needs), "event_log" (atomic facts), "profile" (user profile). group_id: Optional project/group filter. limit: Maximum number of results (1-50). |
| delete_memoryA | Delete memories from EverMemOS. Use this tool when the user explicitly asks to forget or remove certain memories. This performs a soft delete. Args: user_id: User ID whose memories to delete. Defaults to EVERMEM_USER_ID env var. group_id: Optional group/project filter - only delete memories in this group. memory_type: Optional type filter - only delete this type (episodic_memory, foresight, event_log). |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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