MCP ServerHTTPOfficialv1.0.0

Mnemolog MCP Server

Store and retrieve conversation memory across sessions, manage long-running jobs, and coordinate multi-agent operations with a hosted control plane. Built for developers who need durable state and orchestration beyond a single chat window.

dev.pages.mnemolog/mnemolog

Hosted URL

https://mnemolog.com/api/mcp

Transport

HTTP

Auth

No auth required

What the Mnemolog MCP server does

How models use it and what it is built for.

Store and retrieve conversation memory across sessions, manage long-running jobs, and coordinate multi-agent operations with a hosted control plane. Built for developers who need durable state and orchestration beyond a single chat window.

Connect to Mnemolog

Hosted endpoint — paste into any MCP client.

https://mnemolog.com/api/mcp

Resources

Where to find authoritative docs and source for Mnemolog.

Example prompts for Mnemolog

Paste any of these into Agent Studio after connecting Mnemolog.

  • Save this conversation context to memory with key conversation_2024_project_alpha
  • Retrieve all stored memories tagged with user_id:42 and show recent updates
  • Create a job that runs this task asynchronously and give me a job ID to poll
  • What job statuses are currently tracked in the control plane for my agent?

Mnemolog MCP server — FAQ

Common questions about connecting and running Mnemolog.

  • What is Mnemolog and how does it work with MCP?

    Mnemolog is a hosted memory and control plane service that persists conversation state, job metadata, and agent operations across sessions via HTTP. It integrates with MCP to let your AI agents store and retrieve durable context beyond a single chat interaction.

  • How do I authenticate with the Mnemolog MCP server?

    The server is accessed via HTTP at https://mnemolog.com/api/mcp. Check the Mnemolog documentation for required API keys or authentication headers; these are typically passed as environment variables when configuring the MCP client.

  • Can I use Mnemolog to coordinate multiple agents?

    Yes—Mnemolog is designed as a control plane for multi-agent operations. You can store shared state, job queues, and operation status that multiple agents can read and update, enabling coordinated workflows.

  • Is there a pricing model or free tier?

    Pricing details are not specified in the public registry. Visit https://mnemolog.com or contact the team directly to learn about free tier availability, usage limits, and paid plans.

  • What happens to my data if I stop using Mnemolog?

    Since Mnemolog is a hosted service, your stored memories and job records persist on their servers. Review their data retention and export policies on their website to understand how to retrieve or delete your data.

Run Mnemolog across 30+ AI models, side-by-side

Connect Mnemolog to Claude, GPT, Gemini, DeepSeek and 30+ AI models in MCP Agent Studio. Compare answers side-by-side, save reusable agent presets, share runs — all in your browser, no install required.

Open Agent Studio

Related servers

More on MCP Playground