What is the key difference between Code To Tree and Serena?

Code To Tree belongs to the Coding Agents category with local stdio execution, while Serena belongs to the Coding Agents category with local stdio execution.

How do I install Code To Tree or Serena 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 Code To Tree and Serena free or paid?

Code To Tree operates under a Free / Open Source model (No auth required). Serena operates under a Freemium model (No auth required).

Which MCP server has more tools and community activity?

Code To Tree lists 5 tools with 2 views and 88 GitHub stars. Serena lists 6 tools with 2 views and 27,744 GitHub stars.

Can I use both Code To Tree and Serena 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 Code To Tree or Serena 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 Code To Tree and Serena free to use, or do they require API keys?

Code To Tree is listed under a Free / Open Source model with No auth required . Serena 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 Code To Tree and Serena at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both micl2e2-code-to-tree and oraios-serena 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, Code To Tree has a Quality Score of 39 /100 ( Fair ) with 2 views, 0 installs, and 88 GitHub stars. Serena holds a Quality Score of 41 /100 ( Fair ) with 2 views, 0 installs, and 27,744 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Code To Tree vs Serena

In-depth architectural comparison of the Code To Tree and Serena 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

Code To Tree

Coding Agents · Local stdio

Quality: 39/100 (Fair) | Auth: No auth required

Serena

Coding Agents · Local stdio

Quality: 41/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Code To Tree if you need specialized Coding Agents tools running via a local process. Choose Serena if your workspace requires Coding Agents integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Code To Tree when:

You need dedicated capabilities in the Coding Agents domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: Supports multiple languages: C, C++, Rust, Ruby, Go, Java, Python, Single standalone binary executable, Uses tree-sitter for accurate parsing.

Explore Code To Tree Details

Choose Serena when:

You need dedicated capabilities in the Coding Agents domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Freemium).
Primary tools included: Symbol-level code retrieval and editing, Cross-file refactoring and renaming, Integration with language servers (LSP) or JetBrains plugin.

Explore Serena Details

Feature & Specification Comparison

Specification	Code To Tree micl2e2 Coding Agents	Serena oraios Coding Agents
Summary	A single-binary MCP server that converts source code into AST, regardless of language.	A fully-featured coding agent that relies on symbolic code operations by using language servers.
Category & Scope	Coding Agents	Coding Agents

Tools & Capabilities Breakdown

Code To Tree Tools (5)

Supports multiple languages: C, C++, Rust, Ruby, Go, Java, Python

Single standalone binary executable

Uses tree-sitter for accurate parsing

Minimal external dependencies

Compatible with MCP clients via standard MCP protocol

Serena Tools (6)

Symbol-level code retrieval and editing

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).

Code To Tree Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "micl2e2-code-to-tree": {
      "command": "npx",
      "args": [
        "-y",
        "micl2e2-code-to-tree"
      ]
    }
  }
}

Serena Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

Code To Tree is categorized under Coding Agents and uses a local stdio subprocess. In contrast, Serena belongs to Coding Agents using local stdio subprocess. Select Code To Tree when you need capabilities focused on coding agents and Serena when you require tools for coding agents.

More alternatives to Code To Tree More alternatives to Serena Coding Agents category hub