What is the key difference between Lore and Penfield Mcp?

Lore belongs to the Knowledge & Memory category with local stdio execution, while Penfield Mcp belongs to the Knowledge & Memory category with local stdio execution.

How do I install Lore or Penfield 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 Lore and Penfield Mcp free or paid?

Lore operates under a Free / Open Source model (No auth required). Penfield Mcp operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Lore lists 6 tools with 0 views and 7 GitHub stars. Penfield Mcp lists 6 tools with 1 views and 6 GitHub stars.

Can I use both Lore and Penfield 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.

How do I install Lore or Penfield Mcp 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 Lore and Penfield Mcp free to use, or do they require API keys?

Lore is listed under a Free / Open Source model with No auth required . Penfield Mcp 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 Lore and Penfield Mcp at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both hyunjae-labs-lore and penfieldlabs-penfield-mcp 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, Lore has a Quality Score of 55 /100 ( Good ) with 0 views, 0 installs, and 7 GitHub stars. Penfield Mcp holds a Quality Score of 52 /100 ( Good ) with 1 views, 0 installs, and 6 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Lore vs Penfield Mcp

In-depth architectural comparison of the Lore and Penfield 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

Lore

Knowledge & Memory · Local stdio

Quality: 55/100 (Good) | Auth: No auth required

Penfield Mcp

Knowledge & Memory · Local stdio

Quality: 52/100 (Good) | Auth: No auth required

Verdict Summary: Choose Lore if you need specialized Knowledge & Memory tools running via a local process. Choose Penfield 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 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).
Primary tools included: manage_projects, index, status.

Explore Lore Details

Choose Penfield 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: 17 tools for memory, knowledge graph, context, and artifact management, Hybrid search combining BM25, vector embeddings, and graph connections, 24 relationship types for rich knowledge graph construction.

Explore Penfield Mcp Details

Feature & Specification Comparison

Specification	Lore hyunjae-labs Knowledge & Memory	Penfield Mcp penfieldlabs Knowledge & Memory
Summary	Semantic search across Claude Code conversations. Hybrid vector + keyword search with Reciprocal Rank Fusion, fully local, background indexing, project-selective.	Penfield: persistent memory with hybrid search (BM25 + vector + graph), 24 relationship types for knowledge graphs, context checkpoints for cognitive handoff, artifact storage, and personality system. Works across Claude, Cursor, Windsurf, and any MCP client.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal	55/100 (Good)	52/100 (Good)
Transport Protocol	Local Subprocess (stdio)	Local Subprocess (stdio)
Auth Requirement	No auth required	No auth required
Pricing Model	Free / Open Source	Free / Open Source
Required Env Vars	None required	None required
Compatible Clients	Claude DesktopCursorWindsurfClineVS Code	Claude DesktopCursorWindsurfClineVS Code
Install path signal	`npx · high`	`npx · high`
Engagement & Health	0 views 0 copies 0 upvotes 7 stars	1 views 0 copies 0 upvotes 6 stars
Verified / Official	Community Listing	Community Listing
Open full listing	View Lore Listing	View Penfield Mcp Listing

Tools & Capabilities Breakdown

Lore Tools (6)

manage_projects

Exclude/include projects from indexing (opt-out model)

index

Start background indexing. All non-excluded projects. Modes: `incremental` (default), `rebuild`, `cancel

status

Check indexing progress, ETA, skip reasons, DB health

Semantic + keyword search across conversations

get_context

Expand search results with surrounding conversation

list_sessions

Browse indexed sessions by project

Penfield Mcp Tools (6)

17 tools for memory, knowledge graph, context, and artifact management

Hybrid search combining BM25, vector embeddings, and graph connections

24 relationship types for rich knowledge graph construction

Context checkpointing with awaken and reflect tools for session continuity

Cross-platform synchronization across multiple MCP clients

Artifact storage with save, retrieve, list, and delete capabilities

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).

Lore Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "hyunjae-labs-lore": {
      "command": "npx",
      "args": [
        "-y",
        "getlore"
      ]
    }
  }
}

Penfield Mcp Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "penfieldlabs-penfield-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote"
      ]
    }
  }
}

Frequently Asked Questions

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

More alternatives to Lore More alternatives to Penfield Mcp Knowledge & Memory category hub