What is the key difference between Memkin and Threadctx Mcp?

Memkin belongs to the Knowledge & Memory category with local stdio execution, while Threadctx Mcp belongs to the Knowledge & Memory category with local stdio execution.

How do I install Memkin or Threadctx 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 Memkin and Threadctx Mcp free or paid?

Memkin operates under a BYOK (Pay Provider Direct) model (API Key required). Threadctx Mcp operates under a Freemium model (API Key required).

Which MCP server has more tools and community activity?

Memkin lists 6 tools with 3 views and 5 GitHub stars. Threadctx Mcp lists 6 tools with 2 views and 1 GitHub stars.

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

Memkin is listed under a BYOK (Pay Provider Direct) model with API Key required . Threadctx Mcp operates under a Freemium model with API Key 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 Memkin and Threadctx Mcp at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both andrelyl-memkin and threadctx-dev-threadctx-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, Memkin has a Quality Score of 48 /100 ( Fair ) with 3 views, 0 installs, and 5 GitHub stars. Threadctx Mcp holds a Quality Score of 43 /100 ( Fair ) with 2 views, 0 installs, and 1 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Memkin vs Threadctx Mcp

In-depth architectural comparison of the Memkin and Threadctx 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

Memkin

Knowledge & Memory · Local stdio

Quality: 48/100 (Fair) | Auth: API Key required

Threadctx Mcp

Knowledge & Memory · Local stdio

Quality: 43/100 (Fair) | Auth: API Key required

Verdict Summary: Choose Memkin if you need specialized Knowledge & Memory tools running via a local process. Choose Threadctx 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 Memkin when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
You have access to required keys: OPENAI_API_KEY, OLLAMA_API_KEY.
Primary tools included: Incremental and historical data collection from 7 Feishu sources, AI session data ingestion from Claude Code, Codex, Hermes/OpenClaw, Private local knowledge graph with entity linking and identity merging.

Explore Memkin Details

Choose Threadctx Mcp 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: THREADCTX_API_KEY, THREADCTX_MODE, THREADCTX_NO_AUTO_RULES.

Feature & Specification Comparison

Specification	Memkin AndreLYL Knowledge & Memory	Threadctx Mcp threadctx-dev Knowledge & Memory
Summary	Local-first personal memory for AI agents. Ingests Feishu/Lark chats and Claude Code / Codex sessions, distills them into a private entity knowledge graph (people, projects, decisions, tasks), and serves it to any agent over MCP — read and write. npx memkin	Shared team memory for AI coding agents. Decisions, fixes, and gotchas persist per repo and are shared across Claude Code, Cursor, and any MCP client — what one teammate's agent learns, everyone's agents remember. Local-first, zero-dependency. npx -y threadctx-mcp
Category & Scope

Tools & Capabilities Breakdown

Memkin Tools (6)

Incremental and historical data collection from 7 Feishu sources

AI session data ingestion from Claude Code, Codex, Hermes/OpenClaw

Private local knowledge graph with entity linking and identity merging

Hybrid retrieval combining full-text search and vector similarity

Privacy-preserving data handling with reversible and irreversible redaction

MCP server supporting stdio and Streamable HTTP transport

Threadctx Mcp 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).

Memkin Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "andrelyl-memkin": {
      "command": "npx",
      "args": [
        "-y",
        "memkin"
      ],
      "env": {
        "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE",
        "OLLAMA_API_KEY": "YOUR_OLLAMA_API_KEY_HERE"
      }
    }
  }
}

Threadctx Mcp Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "threadctx-dev-threadctx-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "threadctx-mcp"
      ],
      "env": {
        "THREADCTX_API_KEY": "YOUR_THREADCTX_API_KEY_HERE",
        "THREADCTX_MODE": "YOUR_THREADCTX_MODE_HERE",
        "THREADCTX_NO_AUTO_RULES": "YOUR_THREADCTX_NO_AUTO_RULES_HERE"
      }
    }
  }
}

Frequently Asked Questions

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

More alternatives to Memkin More alternatives to Threadctx Mcp Knowledge & Memory category hub