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A Model Context Protocol server that provides real-time US weather alerts and forecasts via the NOAA National Weather Service API.

A remote Model Context Protocol server that extracts YouTube video transcripts and provides content creation templates using OAuth 2.0 authentication. It enables secure interaction with YouTube content for AI clients like ChatGPT and Claude.

An MCP server for a plain-markdown LLM wiki vault with YAML frontmatter and Obsidian-style wiki-links, enabling headless full-text search, note reading, backlink discovery, and safe append/create-only writing with path traversal protection and an immutable raw/ directory.

Claude Code plugin & MCP server for Phase 2/3 clinical trial design. 9 tools: single-primary (binary/continuous/PH+NPH survival), multi-hypothesis (co-primary, multi-population, Maurer-Bretz). Backed by gsDesign, gsDesign2, graphicalMCP. Word/PDF reporting, Monte-Carlo verification, 176-case benchmark corpus.

F1 Race Engineer is an MCP server that gives AI assistants access to Formula 1 race data for engineering analysis. It provides tools for querying live and historical race information, lap times, telemetry, and strategy recommendations to simulate the role of an F1 race engineer.

Provides standardized access to HubSpot's CRM API for managing contacts, companies, deals, engagements, and other CRM data through comprehensive CRUD operations, batch processing, and advanced search capabilities.

A universal MCP server that enables AI assistants to safely manage changelog files by writing structured records to a JSONL store and deterministically generating markdown changelogs.

Enables Codex to use Grok Build CLI as a controlled subagent via MCP tools for independent investigation, review, and isolated implementation tasks.

Enables AI assistants to audit and clean up Amazon Alexa accounts: list routines, smart-home devices, scenes, and activity history, with optional deletion of orphan devices.

A Go implementation of the Model Context Protocol (MCP) sequential thinking

MCP server for the Kaisha API, providing official Japanese company-registry data including corporate numbers and qualified invoice registrations, with pay-per-call via USDC micropayments.

This MCP gateway bridges AI assistants to RFK Jr campaign endpoints, enabling access to various campaign-related tools and data. It dynamically registers tools based on OpenAPI schemas from configured endpoints, supports both STDIO and SSE transports, and includes features for endpoint discovery and information retrieval. The implementation is designed for flexibility and easy integration with existing campaign infrastructure.

Government Tender Search enables AI agents to discover procurement opportunities from UK, EU, and US government portals. It scores tenders against organizational capabilities using AI analysis to surface relevant matches. Teams use it to automate public sector business development and competitive intelligence workflows.

Register innovations, request patent preparation, and collaborate with Lightbringer’s patent team.

A note-taking knowledge base MCP server that enables CRUD operations on notes with tags, resource listing/detail, and prompt-based analysis and brainstorming.

This MCP server enables AI assistants to interact with the Timing application for managing time tracking and tasks, including project and time entry operations.

A Model Context Protocol server that provides Claude with access to InfluxDB time-series database instances, enabling data writing, querying, and management of organizations and buckets through natural language.

An MCP server for Splitwise that enables users to manage shared expenses, friends, and groups directly through AI assistants. It allows for creating, deleting, and listing expenses while providing tools to track net balances and group debts.

MCP SSH Agent provides AI assistants with secure remote server management capabilities through SSH connections. Developed by AiondaDotCom, this implementation parses SSH configuration files and known_hosts to automatically discover available hosts, then executes commands, transfers files, and manages connectivity using native SSH and SCP commands rather than JavaScript SSH libraries for improved reliability and authentication compatibility. The server offers seven core tools including remote command execution, batch operations, file transfers, connectivity testing, and host information retrieval, making it valuable for system administration, deployment automation, and infrastructure management workflows where AI assistants need to interact with remote servers.

Sentry-issues-mcp is a TypeScript server implementation that provides access to Sentry error tracking data through the MCP protocol. It offers four main tools for retrieving Sentry data: fetching single events, project events, single issues, and project issues by ID or URL. The server connects to the Sentry API using environment variables for authentication and organization/project configuration, making it particularly useful for developers and support teams who need to analyze application errors and exceptions within their LLM workflows.