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Provides AI assistants with access to a database of LinkedIn profiles from the Headstarter community for intelligent querying and analysis.
Orchestrates system updates, application installations, and performance optimizations across diverse operating systems, enabling agentic AI integration for intelligent management.
Enables Large Language Models to read and analyze network packet captures, providing structured JSON responses about network traffic.
Enables Large Language Models to create, modify, and delete code via a Model Context Protocol server.
Unifies and expands access to multiple Model Context Protocol (MCP) servers by organizing them into flexible streaming HTTP (SSE) endpoints.
Orchestrates AI-powered development operations by intelligently routing queries across multiple backends with automatic failover and advanced error prevention.
Provides real-time weather data, air quality monitoring, forecasts, and astronomical information via a Model Context Protocol (MCP) server.
Provides filesystem operations for Claude AI through a Model Context Protocol (MCP) server.
Provides lightning-fast, language-agnostic code analysis, instant symbol lookups, reference tracking, and semantic code search for large codebases.
Facilitates querying large sports-themed question answering datasets via the Model Context Protocol.
Unifies interaction with multiple payment providers (like Stripe and Paystack) through a single, self-hosted API for AI agents and enterprise systems.
Integrates Google PageSpeed Insights API with Claude to provide web page performance analysis.
Configures and documents the Airtable Model Context Protocol (MCP) server for interacting with Airtable bases through Cursor.
Provides utilities for managing miniapps, orchestrator applications, and dialog logs within the Omilia Cloud Platform.
Fetches Wordle solutions via the Wordle API.
Connects AI assistants to self-hosted Jira instances, enabling comprehensive issue management and information retrieval.
Provides a comprehensive Model Context Protocol (MCP) server designed to streamline DHIS2 development, management, and debugging with extensive Web API coverage.
Provides a standardized gRPC interface for Core Lightning nodes, enabling control via Large Language Models (LLMs) using the Model Context Protocol (MCP) specification.
Automate the redaction of sensitive text and specified areas within PDF documents.
Generates images from text prompts using the Adobe Firefly API.
Enables sending emails through AWS SES directly from applications like Cursor or Claude Desktop.
Generates in-depth research reports on specified topics using the Google Gemini AI API.
Generates educational content, including MCQs, lesson plans, and flashcards, using handwritten logic instead of external large language models.
Organizes and tracks advanced tasks in a Kanban style across various interfaces, including command-line, web, and AI integration.
Integrates MongoDB with the Model Context Protocol (MCP) to enable AI assistants to interact with databases.
Manages Kubernetes deployments, pods, and services through a Model Control Protocol (MCP) server.
Analyzes GitHub user starred repositories to provide insights into development trends and technology adoption.
Enables AI models to interact with the Polarsteps API for fetching travel data, trip information, and user profiles.
Analyzes images using advanced heuristics to generate intelligent, descriptive filenames and organize digital assets.
Facilitates searching and retrieving information on Japanese government subsidies.
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