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Web & SearchMCP Registryremote4 toolsD · 33

WorkingMemory MCP server

ai.workingmemory · Updated

Persistent personal memory for AI assistants — save, search, and recall across every MCP client.

At a glance

WorkingMemory is an MCP server in the Web & Search category. It is hosted remotely and connects over HTTP, and declares no required credentials. It exposes 4 tools, including save_memory, search_memory and manage_memory. It scores D (33/100) on the MCP Skills Hub health score as of Oct 28, 2026.

Source

One-click install

Opens your editor and pre-fills the config. Your editor will ask before adding it.

How to install WorkingMemory in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install WorkingMemory in Claude CodeAnthropic's agentic CLI

  1. Add the server

    bash
    claude mcp add --transport http memory https://app.workingmemory.ai/mcp
  2. Verify it's connected

    bash
    claude mcp list
  3. Sharing it with your team?

    Add `--scope project` to write it to .mcp.json in the repository root, which you can commit (with the secrets left as environment variables).

  4. Use it in a session

    Ask Claude to use the tools this server exposes (e.g. save_memory, search_memory, manage_memory). It discovers them automatically.

What tools does WorkingMemory expose? (4)

Read from the live server. Click any tool for its input schema.

  • save_memorySave a thought, insight, fact, or todo to the user's Working Memory. The text is parsed and stored as one or more structured memory items, searchable a moment later via search_memory. Also use this when the user pastes memories or notes brought from another assistant — pass the full pasted text; it is split into individual memories automatically.
  • search_memorySearch the user's Working Memory for relevant past notes and facts. Use this when the user references something they may have stored earlier, or to find related context before answering. Always include your conversation id in client.conversation_id.
  • manage_memoryManage an existing memory item. Currently supports deleting a memory by id (soft delete — recoverable for 30 days). Use search_memory to find the id first.
  • capture_memoryCapture durable facts from a task you just completed (drafting an email, summarizing a document, making a decision), as a byproduct — the user does nothing. Pass the task output/content; durable facts are extracted and stored automatically. Always include your conversation id in client.conversation_id. Returns immediately; extraction happens in the background.

What the code can do

This is a remote server — nothing is installed or run on your machine, so there is no local code to analyze. What it can reach is described above: your requests go to the provider's host.

Before you install

Signals gathered from the source repo and package registry — not a safety verdict.

What it can reach

  • Third-party hosted service — Your requests and any data in them are sent to app.workingmemory.ai.
  • No local execution — Nothing is installed or run on your machine.
  • No source repository — This registry entry does not link to a public repo, so its code cannot be reviewed before you install it.

Client compatibility

Claude Code: NativeClaude Desktop: Via mcp-remoteCursor: NativeCodex CLI: Via mcp-remoteWindsurf: NativeCline: NativeVS Code: Native

Health score

D · 33

Maintenance, adoption, transparency and packaging — not a safety audit. How this is calculated

  • Maintenance30%not measurable

    No commit history available.

  • Adoption20%not measurable

    No usage data available.

  • Transparency20%25%

    1/4: ✗ public source repo, ✗ declared license, ✗ documentation, ✓ discoverable tool list.

  • Provenance15%0%

    No source repository to trace the code back to.

  • Packaging15%75%

    Remote endpoint; authentication requirements not declared.

Maintain WorkingMemory? Add a badge to your README

Shows its health grade, and links readers to install steps for every client.

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[![WorkingMemory on MCP Skills Hub](https://mcp-skills-hub.vercel.app/badge/ai-workingmemory-memory)](https://mcp-skills-hub.vercel.app/mcps/ai-workingmemory-memory)

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