servers/ memory/ mcp-server-agentled
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Mcp Server

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Intelligent AI workflow orchestration with long-term memory, 100+ integrations, and unified credits.

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Overview Installation

Overview

Mcp Server is a Model Context Protocol (MCP) server: Intelligent AI workflow orchestration with long-term memory, 100+ integrations, and unified credits. In practice that means any MCP-compatible AI assistant can call Mcp Server's tools directly — the model decides when to use them in a conversation or agent run.

It runs locally: the npm package @agentled/mcp-server speaks MCP over stdio on your machine. Configuration happens through environment variables — you'll need AGENTLED_API_KEY. The current release is v0.19.3, published under the MIT license, with source at Agentled/mcp-server on GitHub.

Mcp Server is listed under Memory on mcp.site and works with any MCP client — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed and the rest of the ecosystem — using the install snippets below. If you maintain Mcp Server for Agentled, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

npm package — @agentled/mcp-server · MCP over stdio
Credentials — Requires AGENTLED_API_KEY
Open source — MIT license · Agentled/mcp-server

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "mcp_server": {
      "command": "npx",
      "args": [
        "-y",
        "@agentled/mcp-server"
      ],
      "env": {
        "AGENTLED_API_KEY": "<agentled-api-key>"
      }
    }
  }
}

Requires AGENTLED_API_KEY

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