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Smara

smara-io/mcp-server

Connects Claude (and other MCP clients) to the Smara Memory API, which ranks stored facts using a decay algorithm modeled on the Ebbinghaus forgetting curve. You get five tools: store_memory with importance weighting, search_memories with temporal scoring that surfaces recent and critical facts first, get_user_context for dropping formatted memory into system prompts, plus delete and usage checking. Requires a Smara API key. Reach for this when you want conversational context that persists across sessions and naturally deprioritizes stale information without manual pruning. Free tier includes 10,000 memories.

tools: 5
auth: Secret needed
transport: STDIO
env var: 1
last updated: Apr 6, 2026

Tools

5 tools

Public tool metadata for what this MCP can expose to an agent.

store_memoryStore a fact about a user with importance scoring

Store a fact about a user with importance scoring

No parameter schema in public metadata yet.

search_memoriesSemantic search with Temporal Memory Scoring™

Semantic search with Temporal Memory Scoring™

No parameter schema in public metadata yet.

get_user_contextPre-formatted context string for LLM system prompts

Pre-formatted context string for LLM system prompts

No parameter schema in public metadata yet.

delete_memoryDelete a specific memory

Delete a specific memory

No parameter schema in public metadata yet.

get_usageCheck plan limits and memory count

Check plan limits and memory count

No parameter schema in public metadata yet.

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Configuration

SMARA_API_KEY*secret

Your Smara API key from smara.io

Readme

@smara/mcp-server

MCP server for the Smara Memory API — give any AI app persistent memory with Temporal Memory Scoring™.

Quick Start

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).

Tools

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

How It Works

View the full README on GitHub

Details

Repository: github.com/smara-io/mcp-server
Category: AI & LLM Tools
Package: @smara/mcp-server
Transport: STDIO
Auth: Required
Registry: MCP registry, active

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