MMW Managed Memory Workspace

Name: MMW Managed Memory Workspace
Author: mmsingatullin

MMW (Managed Memory Workspace) provides a high-performance, persistent memory and knowledge layer for autonomous AI agents.

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What it can do

Gateway Call: Call one discovered tool on an enabled, owner-curated downstream MCP server.
Remember: Store a durable memory with provenance and an auditable trust status.
Search: Search memories and annotate provenance, stale and conflict status.

What data it sees

Do you need an account

No: the server works without sign-in

MMW (Managed Memory Workspace) provides a high-performance, persistent memory and knowledge layer for autonomous AI agents.

Key Features:
- Sub-2ms Retrieval: Instant semantic search and fact retrieval across historical sessions.
- Strict Tenant Isolation: Per-workspace cryptographic data separation and permission boundaries.
- Provenance & Verification: Audit trails, source revision tracking, confidence scoring, and conflict reconciliation.
- Multi-Client Ready: Native compatibility with Claude Desktop, Cursor, Zed, and custom LLM workflows via Streamable HTTP.

How to connect

How to connect MMW Managed Memory Workspace to Claude

The server address to paste into Claude settings:

https://mmw--mmsingatullin.run.tools

Open Claude (claude.ai or the desktop app).
Go to Settings → Connectors.
Click Add custom connector.
Paste the server address copied below into Remote MCP server URL and click Add.
In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect MMW Managed Memory Workspace to ChatGPT

The server address to paste into ChatGPT settings:

https://mmw--mmsingatullin.run.tools

Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
Open Settings → Connectors and click Create.
Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect MMW Managed Memory Workspace to Cursor

The server address to paste into Cursor settings:

https://mmw--mmsingatullin.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (8)

Raw names from tools/list. Only developers need these.

gateway_call	Call one discovered tool on an enabled, owner-curated downstream MCP server.
remember	Store a durable memory with provenance and an auditable trust status.
search	Search memories and annotate provenance, stale and conflict status.
validate_memory	Validate one source manifest hash and report stale/conflicting memories.
forget	Soft-delete a memory by memory_id or cascade-delete all memories from a source_id, cleaning up graph edges.
github_readonly.get_file_contents	Get the contents of a file or directory from a GitHub repository
github_readonly.get_me	Get details of the authenticated GitHub user. Use this when a request is about the user's own profile for GitHub. Or when information is missing to build other tool calls.
github_readonly.pull_request_read	Get information on a specific pull request in GitHub repository.