Deno MCP
A secure MCP server that allows AI assistants to execute TypeScript and JavaScript code through the Deno runtime, with configurable permission control and lightweight characteristics.
2 points
4.3K

What is the MCP Server - Deno Executor?

The MCP Server - Deno Executor is a secure backend service that allows AI assistants such as Claude to execute TypeScript and JavaScript code through the Model Context Protocol (MCP). It is based on the Deno runtime, ensuring the security and isolation of the execution environment.

How to use the MCP Server - Deno Executor?

You can start the service by configuring the MCP server parameters and then integrate it into an AI assistant (such as Claude Desktop). Simply set appropriate permissions to control the security of code execution.

Applicable Scenarios

Suitable for scenarios where secure code execution is required in an AI assistant environment, such as data processing, script automation, or dynamic content generation.

Main Features

Secure Code Execution
Utilize Deno's permission system to ensure the security of code execution and prevent unauthorized operations.
Multi - language Support
Supports TypeScript and JavaScript, providing a complete Deno runtime environment.
Configurable Permissions
You can flexibly configure permissions such as network and file system at startup to meet the needs of different scenarios.
MCP Compatibility
Fully compliant with the Model Context Protocol standard, facilitating seamless integration with AI assistants.
Lightweight and Fast
Designed to be simple and efficient, with low resource consumption, suitable for various deployment environments.
Advantages
Provide a secure code execution environment to avoid potential risks
Support a rich set of development languages and toolchains
Easy to integrate into existing AI assistant platforms
High - performance and low - resource consumption
Limitations
Requires certain technical knowledge for configuration
Improper permission configuration may lead to security risks
Does not support all Node.js modules

How to Use

Install the Server
Install the MCP Server - Deno Executor through the JSR package manager.
Run the Server
Run the server directly and configure permissions as needed.
Integrate into an AI Assistant
Add MCP server information to the AI assistant's configuration file.

Usage Examples

Integrate in the Claude Desktop Application
Configure the MCP server as the code execution backend for Claude, enabling the AI assistant to perform script tasks.
Restrict File System Access
By configuring permissions, only allow code to read files in a specific directory.

Frequently Asked Questions

Is the MCP Server - Deno Executor secure?
How to change the permission configuration of the MCP server?
Which programming languages does the MCP server support?
How does the MCP server integrate with an AI assistant?

Related Resources

MCP Inspector
A tool for debugging and testing the MCP server
Deno Official Documentation
The official documentation of the Deno project, containing detailed API references
MCP Protocol Specification
The standard documentation of the Model Context Protocol

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "deno-executor": {
      "command": "deno",
      "args": [
        "run",
        "--allow-all",
        "jsr:@cong/mcp-deno"
      ]
    }
  }
}

{
  "mcpServers": {
    "deno-executor": {
      "command": "deno", 
      "args": [
        "run",
        "--allow-net=example.com",
        "--allow-read=/tmp",
        "--allow-write=/tmp",
        "jsr:@cong/mcp-deno"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
5.3K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
4.9K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
4.3K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.5K
4 points
P
Paperbanana
Python
7.8K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.5K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.7K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
6.6K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
35.8K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
25.0K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.6K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
74.1K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.3K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
31.7K
5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
98.1K
4.7 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.1K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase