What is the key difference between MCP Memory Server and Linklore MCP?

MCP Memory Server belongs to the Knowledge & Memory category with local stdio execution, while Linklore MCP belongs to the Knowledge & Memory category with local stdio execution.

How do I install MCP Memory Server or Linklore MCP in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are MCP Memory Server and Linklore MCP free or paid?

MCP Memory Server operates under a Freemium model (API Key required). Linklore MCP operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

MCP Memory Server lists 10 tools with 2 views and 21 GitHub stars. Linklore MCP lists 24 tools with 4 views and 1 GitHub stars.

Can I use both MCP Memory Server and Linklore MCP together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

MCP Memory Server vs Linklore MCP

In-depth architectural comparison of the MCP Memory Server and Linklore MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

MCP Memory Server

Knowledge & Memory · Local stdio

Quality: 61/100 (Good) | Auth: API Key required

Linklore MCP

Knowledge & Memory · Local stdio

Quality: 59/100 (Good) | Auth: No auth required

Verdict Summary: Choose MCP Memory Server if you need specialized Knowledge & Memory tools running via a local process. Choose Linklore MCP if your workspace requires Knowledge & Memory integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose MCP Memory Server when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Freemium).
You have access to required keys: MNEMOVERSE_API_KEY, MNEMOVERSE_API_URL.
Primary tools included: memory_write, memory_read, memory_list_recent.

Explore MCP Memory Server Details

Choose Linklore MCP when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: doc_flow, doc_map, brief.

Feature & Specification Comparison

Specification	MCP Memory Server mnemoverse Knowledge & Memory	Linklore MCP linklore Knowledge & Memory
Summary	Hosted memory that learns and forgets — feedback re-ranks what helps, recall fades by recency, similar memories consolidate. One key across Claude, Cursor, VS Code & ChatGPT.	AI-native structured memory for coding agents — typed lore/doc entries with status and links, read and written by agents via MCP.
Category & Scope	Knowledge & Memory

Tools & Capabilities Breakdown

MCP Memory Server Tools (10)

memory_write

Store a long-term memory that persists across sessions AND across every AI tool the user has connected to Mnemoverse (Claude, ChatGPT, Cursor, VS Code) — write once, recall everywhere. Call this PROACTIVELY the moment the user states a preference, makes a decision, or you learn a durable fact (people, roles, project setup, a lesson). Don't wait to be asked. Never store passwords, API keys, payment data, MFA codes, government IDs, or health records; skip transient chatter that only matters this turn. Behavior: an importance gate may filter low-value writes, so the result tells you whether the memory was stored or filtered. Write `content` as a self-contained statement that still makes sense when recalled out of context.

memory_read

Search your long-term memory before answering anything that may have come up before — user preferences, past decisions, project setup, people, or earlier context. This memory is shared: it persists across sessions and across every AI tool the user has connected (Claude, ChatGPT, Cursor, VS Code). ALWAYS check here first when you're unsure whether you already know something; no need to call it for general world knowledge you already hold. Returns matches ranked by relevance (or newest-first with order_by: 'recency'); each result carries an id you can pass to memory_feedback. A wrong or stale memory is corrected by writing a fresh one with memory_write, not by deleting it.

memory_list_recent

List the NEWEST memories first — no search query needed. Semantic search answers 'what do I know about X'; this answers 'what happened lately': resuming work after a break, catching up on a shared room ('any new messages?'), or reviewing what was saved recently. Pass `since` (your last-seen time) to get only what's new, and page through older entries with the returned cursor. Complete by construction WITHIN ONE SCOPE — nothing is skipped there, unlike a semantic search. A page is also bounded by SIZE, so a page of long entries comes back shorter than `limit` and hands you a cursor for the rest — nothing is dropped, and following the cursor is how you get it. To catch up on a shared room you MUST pass its address as `domain`: rooms are separate stores and an unscoped call never covers them.

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

MCP Memory Server Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "mnemoverse-mcp-memory-server": {
      "command": "npx",
      "args": [
        "-y",
        "@mnemoverse/mcp-memory-server@latest"
      ],
      "env": {
        "MNEMOVERSE_API_KEY": "YOUR_MNEMOVERSE_API_KEY_HERE",
        "MNEMOVERSE_API_URL": "YOUR_MNEMOVERSE_API_URL_HERE"
      }
    }
  }
}

Linklore MCP Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "linklore-linklore-mcp": {
      "command": "uvx",
      "args": [
        "llre"
      ]
    }
  }
}

Frequently Asked Questions

MCP Memory Server is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Linklore MCP belongs to Knowledge & Memory using local stdio subprocess. Select MCP Memory Server when you need capabilities focused on knowledge & memory and Linklore MCP when you require tools for knowledge & memory.

More alternatives to MCP Memory Server More alternatives to Linklore MCP Knowledge & Memory category hub Canonical compare URL