What is the key difference between Mcp Server and Lore?

Mcp Server 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 Mcp Server 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 Mcp Server and Lore free or paid?

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

Which MCP server has more tools and community activity?

Mcp Server lists 9 tools with 1 views and 39 GitHub stars. Lore lists 6 tools with 0 views and 7 GitHub stars.

Can I use both Mcp Server 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 Mcp Server 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 Mcp Server and Lore free to use, or do they require API keys?

Mcp Server is listed under a Freemium 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 Mcp Server and Lore at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both contextstream-mcp-server 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, Mcp Server has a Quality Score of 51 /100 ( Good ) with 1 views, 0 installs, and 39 GitHub stars. Lore holds a Quality Score of 55 /100 ( Good ) with 0 views, 0 installs, and 7 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Mcp Server vs Lore

In-depth architectural comparison of the Mcp Server 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

Mcp Server

Knowledge & Memory · Local stdio

Quality: 51/100 (Good) | Auth: No auth required

Lore

Knowledge & Memory · Local stdio

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

Verdict Summary: Choose Mcp Server 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 Mcp Server when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Freemium).
Primary tools included: search, memory, session.

Explore Mcp Server 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).
Primary tools included: manage_projects, index, status.

Explore Lore Details

Feature & Specification Comparison

Specification	Mcp Server contextstream Knowledge & Memory	Lore hyunjae-labs Knowledge & Memory
Summary	Universal persistent memory for AI coding tools. Semantic code search, knowledge graphs, impact analysis, and decision tracking. 90.0% on LongMemEval-S. Works across Cursor, Claude Code, Windsurf, and any MCP client. npx -y @contextstream/mcp-server	Semantic search across Claude Code conversations. Hybrid vector + keyword search with Reciprocal Rank Fusion, fully local, background indexing, project-selective.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal	51/100 (Good)	55/100 (Good)
Transport Protocol	Local Subprocess (stdio)	Local Subprocess (stdio)
Auth Requirement	No auth required	No auth required
Pricing Model	Freemium	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	1 views 0 copies 0 upvotes 39 stars	0 views 0 copies 0 upvotes 7 stars
Verified / Official	Community Listing	Community Listing
Open full listing	View Mcp Server Listing	View Lore Listing

Tools & Capabilities Breakdown

Mcp Server Tools (9)

semantic, hybrid, keyword, pattern, exhaustive, refactor modes

memory

events, decisions, docs, runbooks, tasks, todos, diagrams, transcripts

session

capture decisions & lessons, recall past sessions, plans, retroactive capture

grounded Q&A over your workspace knowledge base, with citations

graph

dependencies, impact analysis, circular deps, unused code

capsule

portable, shareable context snapshots for agent handoffs

entity

tickets, incidents, releases, sprints, OKRs, risks

skill

reusable instruction + action bundles, portable across tools

media

index and search images, video, audio, and documents

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

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 Server Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "contextstream-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@contextstream/mcp-server"
      ]
    }
  }
}

Lore Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

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