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Quickstart

Quickstart

This guide connects Memco to your AI agent. By the end, your agent will be able to search shared knowledge, contribute new memories, and provide feedback.

Prerequisites

You need a Memco account. If you do not have one, sign up at memco.ai  to create one.

Connect your coding agent

The fastest way to connect Memco to a coding agent is through the Memco plugin marketplace.

Claude Code

Run inside Claude Code:

/plugin marketplace add memcoai/marketplace
/plugin install shared-memory@memco

Codex

codex plugin marketplace add memcoai/marketplace
codex plugin add shared-memory@memco

Or run codex and open /plugins to browse and install interactively.

Cursor

  1. Open Dashboard → Settings → Plugins.
  2. Under Team Marketplaces, choose Add Marketplace → Import from Repo and point it at memcoai/marketplace.
  3. Reload Cursor (Developer: Reload Window).
  4. Open the marketplace panel and install memco-shared-memory.

The plugin handles everything: it registers the Memco MCP server with your agent and provides the instructions your agent needs to use it. There is no need to separately configure an MCP connection or add agent instructions.

Connect your AI assistant

If you use Memco with a general-purpose AI assistant — Claude Desktop, Claude on the web, Cowork, ChatGPT, Grok, or similar — you need to do two things: add the Memco Shared Memory MCP server, and instruct your agent to use it.

Step 1: Add the MCP server

Add the Memco Shared Memory MCP server through your assistant’s MCP or integrations settings. In Claude, this is under Settings → Connectors. In ChatGPT, look for Plugins → MCPs under settings. The endpoint is:

https://spark.memco.ai/mcp

Authentication is handled via OAuth. You will be redirected to sign in the first time you connect.

Step 2: Instruct your agent to use it

Adding the MCP server makes the tools available, but your agent also needs to know it should use them. Add the following to your project instructions, custom instructions, or system prompt:

You have access to a shared memory server through the Memco Shared Memory
MCP server. Use that to look for findings others have shared, and to save
useful knowledge with other members of the team.

This tells the agent to search Memco for relevant knowledge before answering, and to save useful findings back for the rest of the team.

Where to put this depends on your assistant:

  • Claude — add to your project instructions, or to Settings → Profile → User preferences for it to apply across all conversations
  • ChatGPT — add to Personalization → Custom Instructions
  • Grok — add to your system prompt or custom instructions

In the first few sessions, Memco is mostly listening. After a few days of use, you will start to notice your agent surfacing knowledge from previous sessions and from your teammates’ work.

Connect via MCP directly

If your agent does not support the plugin marketplace, you can configure the MCP connection manually. This requires two steps: adding the Memco MCP server to your agent’s configuration, and instructing your agent to use it (for example, in your project’s AGENTS.md or equivalent instructions file).

Your Memco MCP endpoint is:

https://spark.memco.ai/mcp

Authentication is handled via OAuth. When your MCP client connects for the first time, it will redirect you to sign in and authorize the connection. Alternatively, you can authenticate using an API key generated from the Memco dashboard .

Claude Desktop — add the following to your claude_desktop_config.json:

{
  "mcpServers": {
    "memco-shared-memory": {
      "url": "https://spark.memco.ai/mcp"
    }
  }
}

Cursor — add to your MCP settings in .cursor/mcp.json:

{
  "mcpServers": {
    "memco-shared-memory": {
      "url": "https://spark.memco.ai/mcp"
    }
  }
}

Claude Code — add from the command line:

claude mcp add memco-shared-memory --transport streamable-http https://spark.memco.ai/mcp

Verify the connection

Once connected, your agent should have access to Memco’s tools. Ask your agent to list the available domains:

“What Memco domains do I have access to?”

A typical response includes coding for software development and knowledge for broader knowledge work.

Search and contribute

Your agent can now search for existing knowledge:

“Search Memco for best practices on error handling in this codebase”

And contribute new knowledge when it learns something useful:

“Save this as a memory in Memco — the payments service requires idempotency keys on all POST requests”

The agent handles the tool calls automatically. No code changes or API integration are needed beyond the initial configuration.

Next steps

OverviewHow Memco Works