What is the key difference between Claude Find and Lore?

Claude Find belongs to the Knowledge & Memory category with local stdio execution, while Lore belongs to the Knowledge & Memory category with local stdio execution.

How do I install Claude Find or Lore 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 Claude Find and Lore free or paid?

Claude Find operates under a Free / Open Source model (No auth required). Lore operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Claude Find lists 6 tools with 2 views and 10 GitHub stars. Lore lists 6 tools with 1 views and 7 GitHub stars.

Can I use both Claude Find and Lore 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.

How do I install Claude Find or Lore in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Claude Find and Lore free to use, or do they require API keys?

Claude Find is listed under a Free / Open Source model with No auth required . Lore operates under a Free / Open Source model with No auth required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Claude Find and Lore at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both cavinooo-claude-find and hyunjae-labs-lore as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Claude Find has a Quality Score of 43 /100 ( Fair ) with 2 views, 0 installs, and 10 GitHub stars. Lore holds a Quality Score of 56 /100 ( Good ) with 1 views, 0 installs, and 7 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Claude Find vs Lore

In-depth architectural comparison of the Claude Find and Lore 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

Claude Find

Knowledge & Memory · Local stdio

Quality: 43/100 (Fair) | Auth: No auth required

Lore

Knowledge & Memory · Local stdio

Quality: 56/100 (Good) | Auth: No auth required

Verdict Summary: Choose Claude Find if you need specialized Knowledge & Memory tools running via a local process. Choose Lore 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 Claude Find 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: Indexes raw JSONL session transcripts from Claude Code, Uses GPU-accelerated qwen3 embeddings via Ollama, Hybrid semantic and keyword search with Reciprocal Rank Fusion.

Explore Claude Find Details

Choose Lore 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).
You have access to required keys: LORE_DIR, LORE_DB, CLAUDE_PROJECTS_DIR.
Primary tools included: manage_projects, index, status.

Feature & Specification Comparison

Specification	Claude Find Cavinooo Knowledge & Memory	Lore hyunjae-labs Knowledge & Memory
Summary	Pull Deep Memory from across your Claude Code Sessions — when you need it.	Semantic search across Claude Code conversations. Hybrid vector + keyword search with Reciprocal Rank Fusion, fully local, background indexing, project-selective.
Category & Scope	Knowledge & Memory

Tools & Capabilities Breakdown

Claude Find Tools (6)

Indexes raw JSONL session transcripts from Claude Code

Uses GPU-accelerated qwen3 embeddings via Ollama

Hybrid semantic and keyword search with Reciprocal Rank Fusion

Includes metadata like project, branch, files, and dates

Background indexing with immediate searchable results

Disables session cleanup for permanent history retention

Lore Tools (6)

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).

Claude Find Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "cavinooo-claude-find": {
      "command": "bunx",
      "args": [
        "claude-find"
      ]
    }
  }
}

Lore Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "hyunjae-labs-lore": {
      "command": "npx",
      "args": [
        "-y",
        "getlore"
      ],
      "env": {
        "LORE_DIR": "YOUR_LORE_DIR_HERE",
        "LORE_DB": "YOUR_LORE_DB_HERE",
        "CLAUDE_PROJECTS_DIR": "YOUR_CLAUDE_PROJECTS_DIR_HERE"
      }
    }
  }
}

Frequently Asked Questions

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

More alternatives to Claude Find More alternatives to Lore Knowledge & Memory category hub