What is the key difference between Neurohive and Agent Recall?

Neurohive belongs to the Knowledge & Memory category with local stdio execution, while Agent Recall belongs to the Knowledge & Memory category with local stdio execution.

How do I install Neurohive or Agent Recall 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 Neurohive and Agent Recall free or paid?

Neurohive operates under a Free / Open Source model (No auth required). Agent Recall operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Neurohive lists 0 tools with 0 views and 0 GitHub stars. Agent Recall lists 0 tools with 1 views and 365 GitHub stars.

Can I use both Neurohive and Agent Recall 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 Neurohive or Agent Recall 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 Neurohive and Agent Recall free to use, or do they require API keys?

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

Yes! MCP clients support multi-server orchestration. You can include both neurohive and agent-recall 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, Neurohive has a Quality Score of 27 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars. Agent Recall holds a Quality Score of 47 /100 ( Fair ) with 1 views, 0 installs, and 365 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Neurohive vs Agent Recall

In-depth architectural comparison of the Neurohive and Agent Recall 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

Neurohive

Knowledge & Memory · Local stdio

Quality: 27/100 (Emerging) | Auth: No auth required

Agent Recall

Knowledge & Memory · Local stdio

Quality: 47/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Neurohive if you need specialized Knowledge & Memory tools running via a local process. Choose Agent Recall 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 Neurohive 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).

Explore Neurohive Details

Choose Agent Recall 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).

Explore Agent Recall Details

Feature & Specification Comparison

Specification	N Neurohive Knowledge & Memory	A Agent Recall Knowledge & Memory
Summary	Multi-agent memory intelligence with expertise tracking and conflict detection	Correction-first agent memory. Precision KPI tracks if agents heed warnings. 5 layers, local-only.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Neurohive Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Agent Recall Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

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).

Neurohive Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "neurohive": {
      "command": "npx",
      "args": [
        "-y",
        "neurohive"
      ]
    }
  }
}

Agent Recall Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "agent-recall": {
      "command": "npx",
      "args": [
        "-y",
        "agent-recall-mcp"
      ]
    }
  }
}

Frequently Asked Questions

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

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