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
verifiedversion not recorded2 tools
verifiedversion not recorded2 tools
verifiedversion not recorded2 tools
verifiedversion not recorded2 tools
verifiedversion not recorded2 tools