What is the key difference between Snipara Project Intelligence and Agent Recall?

Snipara Project Intelligence 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 Snipara Project Intelligence 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 Snipara Project Intelligence and Agent Recall free or paid?

Snipara Project Intelligence 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?

Snipara Project Intelligence 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 Snipara Project Intelligence 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 Snipara Project Intelligence 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 Snipara Project Intelligence and Agent Recall free to use, or do they require API keys?

Snipara Project Intelligence 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 Snipara Project Intelligence and Agent Recall at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both snipara-project-intelligence 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, Snipara Project Intelligence 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

Snipara Project Intelligence vs Agent Recall

In-depth architectural comparison of the Snipara Project Intelligence 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

Snipara Project Intelligence

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 Snipara Project Intelligence 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 Snipara Project Intelligence 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 Snipara Project Intelligence 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	S Snipara Project Intelligence Knowledge & Memory	A Agent Recall Knowledge & Memory
Summary	Hosted MCP for source-backed project context, memory, code impact, and agent workflow continuity.	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

Snipara Project Intelligence 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).

Snipara Project Intelligence Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "snipara-project-intelligence": {
      "command": "npx",
      "args": [
        "-y",
        "snipara-project-intelligence"
      ]
    }
  }
}

Agent Recall Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

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