What is the key difference between Threadctx Mcp and Shodh Memory?

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

How do I install Threadctx Mcp or Shodh Memory 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 Threadctx Mcp and Shodh Memory free or paid?

Threadctx Mcp operates under a Freemium model (API Key required). Shodh Memory operates under a Free / Open Source model (API Key required).

Which MCP server has more tools and community activity?

Threadctx Mcp lists 6 tools with 2 views and 1 GitHub stars. Shodh Memory lists 6 tools with 1 views and 244 GitHub stars.

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

Threadctx Mcp is listed under a Freemium model with API Key required . Shodh Memory operates under a Free / Open Source 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 Threadctx Mcp and Shodh Memory at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both threadctx-dev-threadctx-mcp and varun29ankus-shodh-memory 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, Threadctx Mcp has a Quality Score of 43 /100 ( Fair ) with 2 views, 0 installs, and 1 GitHub stars. Shodh Memory holds a Quality Score of 55 /100 ( Good ) with 1 views, 0 installs, and 244 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Threadctx Mcp vs Shodh Memory

In-depth architectural comparison of the Threadctx Mcp and Shodh Memory 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

Threadctx Mcp

Knowledge & Memory · Local stdio

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

Shodh Memory

Knowledge & Memory · Local stdio

Quality: 55/100 (Good) | Auth: API Key required

Verdict Summary: Choose Threadctx Mcp if you need specialized Knowledge & Memory tools running via a local process. Choose Shodh Memory 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 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.
Primary tools included: Local JSON file memory storage with zero native dependencies, Cloud mode with semantic search requiring API key, Automatic injection of memory query/write instructions into multiple agent rule files.

Explore Threadctx Mcp Details

Choose Shodh Memory when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Free / Open Source).
You have access to required keys: .

Feature & Specification Comparison

Specification	Threadctx Mcp threadctx-dev Knowledge & Memory	Shodh Memory varun29ankuS Knowledge & Memory
Summary	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	Cognitive memory for AI agents with Hebbian learning, 3-tier architecture, and knowledge graphs. Single 15MB binary, runs offline on edge devices.
Category & Scope

Tools & Capabilities Breakdown

Threadctx Mcp Tools (6)

Local JSON file memory storage with zero native dependencies

Cloud mode with semantic search requiring API key

Automatic injection of memory query/write instructions into multiple agent rule files

Cross-client compatibility with Claude Code, Cursor, and others

CLI commands for init, join, list, and capture operations

Memory scoped per git repository detected via git remote

Shodh Memory 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).

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"
      }
    }
  }
}

Shodh Memory Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "varun29ankus-shodh-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@shodh/memory-mcp"
      ],
      "env": {
        "SHODH_API_KEY": "YOUR_SHODH_API_KEY_HERE",
        "SHODH_CONFIG_PATH": "YOUR_SHODH_CONFIG_PATH_HERE",
        "SHODH_DATA_DIR": "YOUR_SHODH_DATA_DIR_HERE"
      }
    }
  }
}

Frequently Asked Questions

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

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