APIs and HTTP Requests MCP Repositories

Interact with Apify Actors for tasks like data extraction and web searching through a Model Context Protocol (MCP) interface. Supports both HTTP and local standard input/output methods for flexible integration with various clients.

Provides secure operations for time-based tasks, featuring timing attack protection and timelock encryption.

Facilitates bi-directional communication between physical actuation hardware (via TCP) and advanced artificial intelligence engines, utilizing the Model Context Protocol (MCP) for orchestrating real-time physical system adjustments through natural language instruction sets.

Provides file compression and decompression services that support multiple formats such as gzip, tar.gz, ZIP, and 7z, ensuring secure and efficient file processing. The server features strict parameter validation, detailed progress reporting, and precise error handling.

Retrieve and manage ApiFox interface information seamlessly, offering both HTTP services and CLI commands for flexible integration. Interfaces using TypeScript ensure type-safe interactions for enhanced development workflows.

Query the VirusTotal API for security analysis reports on URLs, files, IPs, and domains. Provides advanced threat intelligence capabilities with automatic relationship data retrieval and detailed analysis tools.

Automate vehicle dealership operations through a user-friendly API that streamlines inventory management, financing, scheduling test drives, and invoicing processes.

Provides semantic search and analysis of Federal Reserve statements, enabling access to metadata, trend analysis of language usage, and retrieval of full statement content through a clean interface.

Manage JIRA issues through a standardized interface that integrates with AI assistants. Supports creating, updating, and searching for issues using JIRA's API.

Synchronizes web indexing outputs with sophisticated AI language mechanisms for automated vetting and semantic interpretation of retrieved digital assets. Features an advanced full-document search portal and supports integration with various crawling agents to deepen data comprehension.

A Model Context Protocol adapter engineered for seamless incorporation with Safaricom's Daraja platform, facilitating execution of core financial operations such as disbursements, status verification, and data retrieval concerning M-Pesa services. Primarily oriented towards educational endeavors and proof-of-concept deployments within sandbox environments.

Facilitates linking of Ollama-hosted generative models with diverse MCP consumer frameworks, such as Claude Desktop applications. Operational prerequisites mandate the presence of both Python and the Ollama runtime environment, necessitating prior fetching of desired AI models for functional utilization.

Facilitates secure interaction with the Upbit Digital Asset Exchange's official OpenAPI specification, enabling functionalities like real-time asset quote retrieval, account portfolio management, and order execution workflows.

A Model Context Protocol (MCP) adapter designed to interface with the comprehensive Pollinations suite of generative APIs, enabling the creation of visual media, textual narratives, and auditory outputs based on provided input directives. It features native support for returning image payloads via base64 encoding and capabilities for enumerating supported generation models.

Facilitates deep interaction with the TikTok ecosystem, enabling content retrieval, engagement analytics for virality assessment, and streamlined application-level communications via the TikNeuron bridge.

Aggregates and manages multiple MCP resource servers through a unified interface. Simplifies access to various tools and data sources while handling request routing and response aggregation.

Provides random and interesting cat facts to enhance applications with playful trivia, making user interactions more engaging and entertaining.

Connects to Figma's API for extracting design components, styles, and text, while facilitating design system analysis and UI content management. Supports generating documentation for developers and allows AI integration for design workflow enhancement.

Manage dictionary data, articles, and user contributions through a modular and extensible interface. Supports asynchronous operations for efficient integration with NTeALan REST APIs.

A robust Go-based toolkit engineered for scalable, parallelized retrieval of structured web content, specifically designed to pipeline data ingestion for large language model context enrichment. It features granular control over traversal depth and domain targeting, integrating natively with the Model Context Protocol (MCP) ecosystem to ensure reliable, batched data acquisition via sophisticated fault tolerance mechanisms.

A robust server component designed to robustly parse arbitrary, complex, and multilingual textual inputs to distill structured key-value data. It enforces schema adherence and type safety using Pydantic validation, serializing final results into standardized outputs like JSON, YAML, or TOML.

Integrates ALAPI's diverse APIs for functionalities such as IP and weather queries, video parsing, and corporate information retrieval using the MCP protocol. Provides standardized responses and error handling to streamline development in AI applications.

Facilitate complex journey structuring, execute granular flight lookups, and retrieve aeronautical location identifiers. Leverage pre-defined configurations for routine travel inquiries to accelerate the planning cycle.

Retrieves content from syndicated web feeds, delivering items as structured textual output. It accepts configuration for the target feed identifier and a temporal cutoff, with an option for external persistence of the generated data.

Offers sophisticated time transformations and utility functions, primarily focused on retrieving precise temporal data across various global zones and facilitating accurate time conversions.

Enable interaction with ERPNext data and functionality, facilitating authentication and document management through a standardized protocol. Allows AI assistants to access, create, update, and retrieve ERPNext documents efficiently.

Create and manage Google Forms, including adding questions and retrieving responses. Streamline form management through the integration with the Google Forms API.

Enables access and analysis of Fitbit health and fitness data, including activities, sleep logs, heart rate, steps, and body measurements through simple commands. Facilitates integration of Fitbit data insights into AI interactions.

Integrates custom hiring tools with AI agents, enabling efficient recruitment processes across various frameworks. Supports seamless integration with LangChain, LlamaIndex, CrewAI, and Agno for enhanced task execution and data analysis.

Facilitate interaction between intelligent automation agents and live cryptocurrency trading infrastructure via the Freqtrade bot's exposed HTTP interface. Automate execution workflows and retrieve instantaneous market statistics.