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Enables an agent to sidecar-manage an OpenRCT2 park while you play: reading park state, adjusting prices, staff, marketing, loans, taking screenshots, and controlling game time, with management-only actions that never build.

MCP server to track bugs

A comprehensive MCP server for ServiceNow that provides over 60 pre-built tools for ITSM, ITOM, and App Dev operations, enabling AI agents to manage incidents, changes, users, service catalog, and projects through a unified interface.

An MCP server exposing Kubernetes-style diagnostic tools to an LLM agent, with a safety approval gate for destructive actions, all backed by a mock cluster for local testing.

Transport for London (TfL) Unified API MCP — keyless.

Enables natural language queries against Snowflake Gold-layer tables through Claude Desktop, allowing users to ask business questions in plain English without SQL knowledge.

Enables LLMs to retrieve weather forecasts for Israeli cities via browser automation and USA weather via API, maintaining state across tool calls for sequential operations.

MCP server for SRI electronic invoicing in Ecuador, enabling AI agents to emit invoices, credit notes, retention documents, and more via natural language through the Cobra API.

This MCP server extracts database schema from PostgreSQL migration files by spinning up temporary PostgreSQL containers using testcontainers, running the migrations, and then extracting the resulting schema information. Built in Go with support for multiple extraction providers including native SQL queries and pg_dump, it offers both human-readable schema information and SQL DDL output formats, making it useful for developers working with large migration directories who need to understand the final database structure without manually tracking changes across multiple migration files. The implementation supports various migration file naming conventions and provides validation capabilities, serving teams that need to document database schemas, analyze migration outcomes, or integrate schema extraction into CI/CD workflows.

Provides tools for downloading YouTube videos and audio using yt-dlp, enabling integration with AI assistants via MCP.

A comprehensive MCP server providing tools for real-time, forecast, and historical weather data, alongside air quality, marine conditions, and climate projections. It also includes geocoding services to search for locations and retrieve precise coordinates for environmental analysis.

Scaffolds a custom MCP server with placeholder resources and tools, enabling developers to practice setting up MCP configuration, environment variables, and server implementation.

Examine and learn how MCP work by using Python SDK and Local LLM with Ollama

MCP server connecting Claude, Cursor, and AI tools to Dropbox — 11 tools for file management, search, and sharing

A TypeScript starter template for building MCP servers, including a greet tool and stubs for a Notes & FAQ Search, designed for the NextFlows Academy cohort.

Provides curated entertainment and culture feeds with tools to list, read, and fetch any RSS/Atom/RDF feed by URL.

Generates legally-compliant weekly shift schedules for Korean workplaces through conversation, using OR-Tools CP-SAT to enforce labor laws such as the 52-hour weekly cap and minor worker protections.

This MCP server, developed by Asan Stefanski, provides a TypeScript-based interface for integrating Semgrep static analysis capabilities. Built using the Model Context Protocol SDK, it enables AI agents to leverage Semgrep's powerful code scanning and vulnerability detection features. The implementation focuses on streamlining the process of running Semgrep scans and interpreting results, making it easier to incorporate security checks into development workflows. It's particularly useful for DevSecOps teams and security researchers who want to automate code analysis, enabling use cases such as continuous security monitoring, custom rule development, and AI-assisted vulnerability remediation without deep Semgrep expertise.

Enables Claude to directly read and analyze log files without copy-pasting. Provides automatic format detection across 9+ common log types, pattern searching with context, error extraction and grouping with stack trace capture, natural language queries about logs, sensitive data detection (PII, credentials), event correlation across multiple files, and streaming support for large files (1GB+).

Provides web search capabilities to AI assistants using the Kagi search API, enabling parallel queries and formatted results.