MCP MeasureMCP Measure

index observed

mifactory-agent-memory

Persistent memory for AI agents across Claude, ChatGPT and any MCP client.

Should I use this

Quality & Safety

B
Description quality
80%
Schema completeness
77%
Naming quality
80%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~106Tokens (tool definitions)
~368 BTypical response size
Minimal attention impact (0.08% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "mifactory-agent-memory": {
      "url": "https://agent-memory-api.vercel.app/mcp"
    }
  }
}

Remote endpoints

https://agent-memory-api.vercel.app/mcpstreamable-http

What it can do

Tool inventory

Tools (2)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟡memory_write(agentId, key, value)

Write to agent memory

Input Schema

{
  "type": "object",
  "properties": {
    "agentId": {
      "type": "string"
    },
    "key": {
      "type": "string"
    },
    "value": {}
  },
  "required": [
    "agentId",
    "key",
    "value"
  ]
}
🟢memory_read(agentId, key)

Read from agent memory

Input Schema

{
  "type": "object",
  "properties": {
    "agentId": {
      "type": "string"
    },
    "key": {
      "type": "string"
    }
  },
  "required": [
    "agentId",
    "key"
  ]
}

Community

Rate this Server

Evidence

Recent observations

verifiedversion not recorded2 tools
verifiedversion not recorded2 tools