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MCP server for book data — search and browse via Open Library

Tuteliq provides AI-powered content safety detection covering 16+ threat categories including grooming, bullying, fraud, and predatory behavior across text, voice, image, and video modalities. The MCP server exposes the Tuteliq API for integration into safety monitoring pipelines.

Deploys a remote MCP server on Cloudflare Workers without authentication, enabling integration with AI Playground and Claude Desktop.

MCP server for managing Linode cloud resources via the Linode API, enabling LLMs to create, list, delete, and reboot instances.

Enables AI models to generate production-ready, 60fps-optimized GSAP animation code from natural language requests. It provides expert-level tools for creating complex sequences, debugging performance issues, and setting up GSAP within modern web frameworks.

Analyze a website URL, discover business-critical user flows to monitor, propose a monitoring plan.

Turn any public MEGA folder into a knowledge source for Claude & other LLMs

A Model Context Protocol server that enables management of F5 devices through natural language commands, allowing users to create, update, list, and delete network objects like virtual servers, pools, and iRules via the iControl REST API.

AI-assisted workflow that automates Jira User Story analysis, Xray-compatible test case generation, review, and publishing to Jira/Xray.

A Model Context Protocol (MCP) server for interacting with liquid staking protocols on NEAR blockchain. Supports Meta Pool (stNEAR) and Linear Protocol (LiNEAR).

Hierarchical HNSW vector index approximate nearest neighbor searcher (Qdrant)

A structured reasoning and problem-solving MCP server that helps track step-by-step analysis with confidence levels, branching, and revisions, ideal for complex multi-step tasks like code optimization and debugging.

A simple MCP server that provides basic calculator operations such as add, subtract, multiply, and divide.

putio-mcp-server provides a bridge to the put.io file hosting service, enabling AI assistants to manage file transfers through a simple interface. Developed by put.io, this Python implementation offers tools for listing active transfers, adding new transfers via URLs or magnet links, canceling existing transfers, and retrieving browser links for completed transfers. The server requires a put.io API token for authentication and is designed to be easily configured with Claude Desktop, making it particularly valuable for users who want to initiate and monitor downloads to their put.io account without switching contexts.

Multi-token speculative FIM code generator & syntax verifier (DeepSeek-Coder V2 style)

Graph memory for AI agents: entities, cause-effect links, cross-session recall, time travel.

Provides correct trading day and settlement date calculations for multiple exchanges, with no external API calls.

AI agent governance, trust scoring, and policy enforcement powered by AgentMesh.

The Zerodha Trade MCP server enables AI assistants to execute real stock trading operations on the Zerodha exchange platform. Built with TypeScript and the KiteConnect API, it provides tools for viewing user profiles, checking portfolio holdings, monitoring open positions, and executing buy/sell orders with specified quantities. The implementation uses environment variables for secure API authentication and follows a clean architecture pattern with separate modules for MCP server setup and trading functionality. This tool is particularly valuable for traders who want to manage their Zerodha accounts directly through AI assistant conversations without switching to another interface.

Comprehensive Checkly CLI command reference and Monitoring as Code workflows.