What is the key difference between A2cr and Mcp Server?

A2cr belongs to the Knowledge & Memory category with local stdio execution, while Mcp Server belongs to the Knowledge & Memory category with local stdio execution.

How do I install A2cr or Mcp Server 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 A2cr and Mcp Server free or paid?

A2cr operates under a Free / Open Source model (No auth required). Mcp Server operates under a Freemium model (No auth required).

Which MCP server has more tools and community activity?

A2cr lists 13 tools with 3 views and 2 GitHub stars. Mcp Server lists 10 tools with 3 views and 3 GitHub stars.

Can I use both A2cr and Mcp Server 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 A2cr or Mcp Server 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 A2cr and Mcp Server free to use, or do they require API keys?

A2cr is listed under a Free / Open Source model with No auth required . Mcp Server operates under a Freemium 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 A2cr and Mcp Server at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both a2cr-a2cr and keepgoing-dev-mcp-server 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, A2cr has a Quality Score of 51 /100 ( Good ) with 3 views, 0 installs, and 2 GitHub stars. Mcp Server holds a Quality Score of 63 /100 ( Good ) with 3 views, 0 installs, and 3 GitHub stars.

Side-by-Side Model Context Protocol Comparison

A2cr vs Mcp Server

In-depth architectural comparison of the A2cr and Mcp Server 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

A2cr

Knowledge & Memory · Local stdio

Quality: 51/100 (Good) | Auth: No auth required

Mcp Server

Knowledge & Memory · Local stdio

Quality: 63/100 (Good) | Auth: No auth required

Verdict Summary: Choose A2cr if you need specialized Knowledge & Memory tools running via a local process. Choose Mcp Server 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 A2cr 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).
You have access to required keys: A2CR_LOCAL_DB, A2CR_UI_URL.
Primary tools included: explain_a2cr_flows, get_account_limits, should_save_workbaton.

Explore A2cr Details

Choose 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 (Freemium).
Primary tools included: get_momentum, get_session_history, get_reentry_briefing.

Explore Mcp Server Details

Feature & Specification Comparison

Specification	A2cr a2cr Knowledge & Memory	Mcp Server keepgoing-dev Knowledge & Memory
Summary	MCP server for AI-agent handoffs. Saves client-encrypted WorkBaton checkpoints and WorkStash notes so Codex, Claude Code, Roo Code, and other MCP clients can resume work without passing full chat history.	Project memory for AI coding sessions. Auto-captures checkpoints on git commits, branch switches, and inactivity, then provides re-entry briefings so AI assistants pick up where you left off. Local-first, no account required.
Category & Scope	Knowledge & Memory

Tools & Capabilities Breakdown

A2cr Tools (13)

explain_a2cr_flows

explain when to use WorkBaton, WorkStash, or WorkThreads.

get_account_limits

show current local workspace limits for Slots, retention, and WorkStash.

should_save_workbaton

advise whether a compact WorkBaton checkpoint is useful now.

save_context

save a WorkBaton checkpoint in the local workspace.

resume_context

find and load the right WorkBaton for a fresh AI window.

load_context

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).

A2cr Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "a2cr-a2cr": {
      "command": "npx",
      "args": [
        "-y",
        "a2cr-a2cr"
      ],
      "env": {
        "A2CR_LOCAL_DB": "YOUR_A2CR_LOCAL_DB_HERE",
        "A2CR_UI_URL": "YOUR_A2CR_UI_URL_HERE"
      }
    }
  }
}

Mcp Server Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "keepgoing-dev-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@keepgoingdev/mcp-server"
      ]
    }
  }
}

Frequently Asked Questions

A2cr is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Mcp Server belongs to Knowledge & Memory using local stdio subprocess. Select A2cr when you need capabilities focused on knowledge & memory and Mcp Server when you require tools for knowledge & memory.

More alternatives to A2cr More alternatives to Mcp Server Knowledge & Memory category hub