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This JavaScript sandbox MCP server, developed by an unknown author, provides a secure environment for executing JavaScript code within defined constraints. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers a tool for running arbitrary JavaScript with configurable time and memory limits. The implementation focuses on isolation and security, utilizing the vm2 library to create a controlled execution context. It's particularly useful for tasks like code testing, algorithm evaluation, or providing a safe playground for AI models to experiment with JavaScript, enabling assistants to execute and analyze JavaScript code without risking system integrity or resource exhaustion.

MCP server for retrieving block-level data from EVM, UTXO, and XRP blockchains via Crypto APIs

Enables querying a person's electoral situation in Brazil (TSE) using name, birth date, CPF and voter ID. Allows checking if the voter registration is regular or irregular.

Remove AI-style code slop from a branch by reviewing diffs, deleting inconsistent defensive noise, and preserving.

Executes Python code snippets safely without shell interpretation, supports parallel batch execution and helper utilities for task decomposition.

Enables querying Australian government tender data via the AusTender OCDS API without requiring an API key.

MCP server that exposes aggregated Shotgun event sales, net revenue, ticket quotas, and audience stats to AI assistants via natural language queries.

Enables querying and searching City of McKinney GIS open geospatial datasets (parcels, zoning, public works) via ArcGIS Feature Services.

Enables querying the existence and details of protests (protestos) for individuals and legal entities registered in notary offices across Brazil. It is a read-only MCP server that works with any MCP client over HTTP, using pre-paid credits.

A minimal MCP server with calculator and memory store tools, ready to use with Claude Desktop and Claude Code.

A Model Context Protocol server for prompt template management, enabling storage, versioning, search, and rendering of prompt templates via MCP tools.

Enables fetching weather forecasts for Israeli cities by controlling a headless browser via Playwright, instead of using a conventional weather API.

[ENG] A Gemini CLI Extension / MCP Server that completely resolves character encoding issues (e.g., Shift-JIS) in Windows CLI environments, enabling AI to accurately parse non-English documents. [JPN] Windows環境の文字化け（Shift-JIS等）を完全に防ぎ、AIが非英語圏のコードや文書を正確に解析できるようにするGemini CLI向けのMCP拡張機能です。

Drop-in OAuth 2.1 + Dynamic Client Registration token verification for Python MCP servers, backed by mcpauth.

MCP server for EmonCMS energy monitoring API, enabling AI assistants to query energy feeds, inputs, and historical data.

MCP server that integrates with myTinyTodo to list, create, edit, and complete tasks via its JSON HTTP API.

MCP server that aggregates test failures, cross-references flakiness history, and outputs a release readiness verdict.

This GitHub MCP server, developed using TypeScript, provides a standardized interface for interacting with GitHub repositories through the Model Context Protocol. It leverages the Octokit REST library to offer GitHub API functionality, enabling operations like repository management, issue tracking, and code analysis. The server is designed as a command-line tool, making it easy to integrate into existing workflows and CI/CD pipelines. By abstracting GitHub interactions into an MCP interface, it allows AI systems to seamlessly work with GitHub data and operations. This implementation is particularly useful for automating repository tasks, generating code insights, and facilitating AI-assisted code reviews and project management on GitHub.

Connects AI tools to BlazeMeter's Service Virtualization platform, enabling natural language management of virtual services, transactions, and configurations.

Provides Japanese postal code to address lookup functionality that can be integrated with AI assistants and other MCP clients.