What is the key difference between DeepSeek MCP Server and Agent Recall?

DeepSeek MCP Server 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 DeepSeek MCP Server 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 DeepSeek MCP Server and Agent Recall free or paid?

DeepSeek MCP Server 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?

DeepSeek MCP Server lists 6 tools with 0 views and 351 GitHub stars. Agent Recall lists 0 tools with 1 views and 365 GitHub stars.

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

DeepSeek MCP Server 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 DeepSeek MCP Server and Agent Recall at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both deepseek-mcp-server 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, DeepSeek MCP Server has a Quality Score of 53 /100 ( Good ) with 0 views, 0 installs, and 351 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

DeepSeek MCP Server vs Agent Recall

In-depth architectural comparison of the DeepSeek MCP Server 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

DeepSeek MCP Server

Knowledge & Memory · Local stdio

Quality: 53/100 (Good) | Auth: No auth required

Agent Recall

Knowledge & Memory · Local stdio

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

Verdict Summary: Choose DeepSeek MCP Server 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 DeepSeek MCP Server 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).
Primary tools included: chat_completion, completion, list_models.

Explore DeepSeek MCP Server 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	D DeepSeek MCP Server Knowledge & Memory	A Agent Recall Knowledge & Memory
Summary	Official DeepSeek MCP server for chat, completion, model listing, and balance endpoints.	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

DeepSeek MCP Server Tools (6)

chat_completion

DeepSeek V4 chat. Defaults to `deepseek-v4-flash`. Supports `thinking: { "type": "enabled" | "disabled" }`, `reasoning_effort: "high" | "max"`, JSON output, function tools, logprobs, streaming, and conversation memory.

completion

DeepSeek V4 Pro FIM completion. Defaults to `deepseek-v4-pro`.

list_models

Reads the live DeepSeek model list.

get_user_balance

Reads account balance and availability.

reset_conversation

Clears an in-memory conversation.

list_conversations

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).

DeepSeek MCP Server Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "deepseek-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "deepseek-mcp-server"
      ]
    }
  }
}

Agent Recall Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

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