What is the key difference between Connapse and Ragstack MCP?

Connapse belongs to the Knowledge & Memory category with local stdio execution, while Ragstack MCP belongs to the Knowledge & Memory category with local stdio execution.

How do I install Connapse or Ragstack 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 Connapse and Ragstack MCP free or paid?

Connapse operates under a Free / Open Source model (API Key required). Ragstack MCP operates under a Free / Open Source model (API Key required).

Which MCP server has more tools and community activity?

Connapse lists 6 tools with 2 views and 17 GitHub stars. Ragstack MCP lists 6 tools with 3 views and 25 GitHub stars.

Can I use both Connapse and Ragstack 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.

Side-by-Side Model Context Protocol Comparison

Connapse vs Ragstack MCP

In-depth architectural comparison of the Connapse and Ragstack 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

Connapse

Knowledge & Memory · Local stdio

Quality: 47/100 (Fair) | Auth: API Key required

Ragstack MCP

Knowledge & Memory · Local stdio

Quality: 49/100 (Fair) | Auth: API Key required

Verdict Summary: Choose Connapse if you need specialized Knowledge & Memory tools running via a local process. Choose Ragstack 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 Connapse 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: CONNAPSE_ADMIN_EMAIL, CONNAPSE_ADMIN_PASSWORD.
Primary tools included: 11 MCP tools, Hybrid vector and keyword search, Container-isolated indexes.

Explore Connapse Details

Choose Ragstack 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 (Free / Open Source).
You have access to required keys: RAGSTACK_GRAPHQL_ENDPOINT, RAGSTACK_API_KEY.
Primary tools included: .

Feature & Specification Comparison

Specification	Connapse Destrayon Knowledge & Memory	Ragstack MCP HatmanStack Knowledge & Memory
Summary	⃣ 🏠 🍎 🪟 🐧 - Self-hosted knowledge backend for AI agents with hybrid vector + keyword search, container-isolated indexes, and 11 MCP tools. .NET, Docker-ready.	MCP server for RAGStack serverless knowledge bases. Search, chat with AI-generated answers, upload documents/media, scrape websites, and analyze metadata through an AWS-powered RAG pipeline (Lambda, Bedrock, S3, DynamoDB).
Category & Scope

Tools & Capabilities Breakdown

Connapse Tools (6)

11 MCP tools

Hybrid vector and keyword search

Container-isolated indexes

Document uploads and source ingestion

REST API and CLI access

Runtime embedding and search configuration

Ragstack MCP Tools (6)

RAG knowledge-base search

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).

Connapse Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "destrayon-connapse": {
      "command": "npx",
      "args": [
        "-y",
        "destrayon-connapse"
      ],
      "env": {
        "CONNAPSE_ADMIN_EMAIL": "YOUR_CONNAPSE_ADMIN_EMAIL_HERE",
        "CONNAPSE_ADMIN_PASSWORD": "YOUR_CONNAPSE_ADMIN_PASSWORD_HERE"
      }
    }
  }
}

Ragstack MCP Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "hatmanstack-ragstack-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "hatmanstack-ragstack-mcp"
      ],
      "env": {
        "RAGSTACK_GRAPHQL_ENDPOINT": "YOUR_RAGSTACK_GRAPHQL_ENDPOINT_HERE",
        "RAGSTACK_API_KEY": "YOUR_RAGSTACK_API_KEY_HERE"
      }
    }
  }
}

Frequently Asked Questions

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

More alternatives to Connapse More alternatives to Ragstack MCP Knowledge & Memory category hub