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Spring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
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Provides persistent, decay-aware memory for AI applications by integrating the Smara Memory API through semantic search and Ebbinghaus forgetting curves. It ena
Provides persistent, decay-aware memory for AI applications by integrating the Smara Memory API through semantic search and Ebbinghaus forgetting curves. It enables tools to store, search, and manage long-term user context with importance-based ranking and automatic decay.
MCP server for the Smara Memory API — give any AI app persistent memory with Temporal Memory Scoring™.
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"smara": {
"command": "npx",
"args": ["-y", "@smara/mcp-server"],
"env": {
"SMARA_API_KEY": "your-api-key-here"
}
}
}
}
Get a free API key at smara.io (10,000 memories, no credit card).
| Tool | Description |
|---|---|
store_memory |
Store a fact about a user with importance scoring |
search_memories |
Semantic search with Temporal Memory Scoring™ |
get_user_context |
Pre-formatted context string for LLM system prompts |
delete_memory |
Delete a specific memory |
get_usage |
Check plan limits and memory count |
Smara uses Temporal Memory Scoring™ — a proprietary ranking system that makes AI memory work like human recall. Memories naturally fade over time, modulated by importance and access patterns. Recent, critical memories surface first. Stale, trivial ones fade. Contradictions are auto-detected and resolved.
| Variable | Required | Default |
|---|---|---|
SMARA_API_KEY |
Yes | — |
SMARA_API_URL |
No | https://api.smara.io |
MIT
Добавь это в claude_desktop_config.json и перезапусти Claude Desktop.
{
"mcpServers": {
"smara-memory-mcp-server": {
"command": "npx",
"args": []
}
}
}