APIs and HTTP Requests MCP Repositories

A multi-platform intelligent dialogue service that supports text, voice, and image interactions. It can connect to various AI models and allows for custom enterprise AI applications through plugin extensions.

A utility for provisioning and managing application blueprints leveraging the wxflows architecture. It facilitates the orchestration of disparate data endpoints and services via the Model Context Protocol (MCP), enabling automated interactions through the accompanying MCP JavaScript/TypeScript Software Development Kit.

Expose Language Server Protocol capabilities for language intelligence features, enabling retrieval of code completions, definitions, and references across various programming languages. Supports static analysis and facilitates easy integration with MCP-compatible clients.

A robust backend service integrating fitness metrics from Strava via its API, employing the Model Context Protocol (MCP) SDK for advanced session evaluation and tailored performance advice. It natively handles secure token lifecycle management and incorporates traffic shaping (rate limiting) for external service calls.

Facilitates bidirectional communication with Salesforce environments by enabling the execution of SOQL data queries, retrieval of schema definitions, and manipulation of CRM entities via a unified Model Context Protocol (MCP) abstraction layer.

Access real-time meteorological forecasts, severe hydrological alerts (flooding), and seismic activity reports sourced exclusively from Malaysia's official national open data repository, ensuring delivery of authoritative hazard intelligence and environmental metrics.

Interface with relational MySQL data stores for inspection and read-only data retrieval. Facilitates database introspection, schema review, and the execution of non-mutating SQL operations, enforced by stringent internal validation protocols against harmful commands.

Connects AI models to authoritative biomedical databases for structured queries, enabling access to information from PubMed, ClinicalTrials.gov, and MyVariant.info. Facilitates precise responses about clinical trials, scientific literature, and genomic variants.

Integrates with the Amadeus Flight Offers Search API to enable natural language flight searches between specified locations and dates. Facilitates retrieval of flight options using large language models.

Provides a standardized Model Context Protocol (MCP) interface for interacting with Meilisearch services, covering index administration, data manipulation, advanced search operations, and system introspection.

A standardized protocol endpoint facilitating LLM interaction with advanced web retrieval services powered by OpenDeepSearch. This module ensures compatibility with MCP-compliant orchestrators for robust, integrated information discovery.

A framework enabling Large Language Models (LLMs) to interface with external APIs and execute local Python computations, streamlined via an accessible Jupyter notebook guide for efficient agent and function bootstrapping.

Facilitates reliable integration between advanced AI engines and the AlQuran Cloud API, ensuring exact retrieval of sacred scripture text. This mitigates generative models' tendency to fabricate content (hallucination) by fetching only essential verses on demand, thereby boosting application dependability, especially for sensitive religious material, such as within the Claude desktop client.

Enable AI agents to send and retrieve messages through a LINE Official Account, facilitating user engagement by pushing text and rich flex messages. Interact with user profiles and broadcast messages to all followers using the LINE Messaging API.

Establishes seamless bidirectional communication between sophisticated AI agents and the Atlassian Jira platform, enabling automated querying, manipulation, and status reporting across project artifacts and issue lifecycles in real-time.

An intelligent utility that restructures rudimentary user inputs into highly effective, optimized directives for generative AI engines. It accomplishes this by dynamically associating requests with suitable predefined instructional blueprints and injecting derived data points. This process guarantees superior output quality while faithfully preserving the user's core intent.

The MySQL MCP Server allows users to connect to MySQL databases safely and execute read-only queries. It retrieves database structure and data in JSON format, making it easier for applications to access live data without modifying it.

A Model Context Protocol utility designed to streamline the creation of polished professional updates for LinkedIn. It accomplishes this by ingesting textual data derived from YouTube video transcripts, performing intelligent content condensation, and formatting the output specifically for engagement within the LinkedIn ecosystem.

Facilitates secure interfacing of privateGPT's knowledge retrieval and reasoning engine with applications adhering to the Model Context Protocol (MCP) standard, facilitating managed access to data assets and conversational flows.

Interface for obtaining Hacker News data (articles, discourse, user profiles) in real-time, facilitated by the Model Context Protocol for robust data exchange.

Facilitate interaction with GitHub repositories, enabling streamlined listing and creation of development tasks (issues) via a secure, authenticated interface featuring built-in robustness checks.

Facilitates the swift discovery and integration of third-party programmatic interfaces and operational sequences, negating the necessity for writing code tailored to specific API protocols. Supports capability-based API discovery, automated sample code generation, and frictionless execution of remote operations.

A specialized middleware layer designed to map interactions from MCP agents onto native operations within the TigerGraph analytical database. It exposes graph introspection, GSQL execution, and entity (vertex/edge) persistence functions via a standardized Python API wrapper.

A comprehensive catalog of external service integrations adhering to the Model Context Protocol (MCP), facilitating secure, granular access to diverse tools and external data reservoirs for advanced AI agents, accessible via both TypeScript and Python software development kits.

Generate mock data and initiate a mock server automatically from Swagger or OpenAPI specifications, simplifying the development process by providing realistic API responses without needing a backend.

A developer-centric platform for orchestrating event-driven workflows. Construct complex automations leveraging a vast library of pre-built connectors or deploy custom logic written in Node.js, Python, Go, or shell scripting. Seamlessly integrate with over one thousand external services to streamline business processes.

Enables product search across multiple e-commerce platforms, tracks product price histories, and performs specifications comparison (disabled in certain versions). Utilizes APIs from BigGo for data retrieval.

Facilitate application connectivity with the advanced Handwriting Optical Character Recognition (OCR) engine. This tool handles the submission of image and document files (PDFs included) for digitization and text extraction, offering capabilities to monitor job progress and retrieve finalized results formatted in Markdown.

A standardized framework enabling robust digital entity collaboration, facilitating capability disclosure, interaction negotiation, and secure payload exchange between heterogeneous autonomous software components. It mandates real-time data pipelining and proactive asynchronous alerts for dynamic workflow orchestration.

Interface with the Confluence platform to execute structured query language (CQL) searches, retrieve detailed document matter, and perform content modifications. Enables direct embedding of Confluence artifacts within custom applications for streamlined data access and lifecycle management.