APIs and HTTP Requests MCP Repositories

Provides a consolidated application interface for interacting with upwards of sixty distinct distributed ledger technologies (DLTs), facilitating operations like ledger entries submission, account telemetry retrieval, asset delegation, and token manipulation.

Integrate with the TESS API to manage and execute TESS agents, handle file associations, and customize messages for agent interactions. Provides an interface to streamline AI workflows with TESS functionalities.

Dynamically load tools, resources, and prompts from specified directories to enhance application capabilities. Offers automatic module discovery and logging features for efficient server management.

Provides asset exploration capabilities through the Model Context Protocol (MCP), integrating with OpsNow's resource data for real-time asset information retrieval.

Provides real-time AI interactions through a streaming-capable server with support for request/response logging and retries. Facilitates integration using a Docker-based client for interactive experiences with minimal setup.

Provides voice recognition and text extraction capabilities, supporting both file input and base64 encoded data processed in structured formats. Operates in stdio and MCP modes for flexible integration with various systems.

Fetches the content of a remote URL and converts it into Markdown format using Jina Reader.

Orchestrates interactions between advanced linguistic constructs and external resource repositories, enabling dynamic workflow execution and robust management of formalized data structures for input/output validation.

Access DingTalk APIs to manage organizational data, retrieve access tokens, and manage department and user information. Enhance applications with integrated functionalities for querying user details and department lists.

Gateway for interacting with RESTful services documented via OpenAPI/Swagger. It ensures all outgoing calls adhere strictly to the defined schema, incorporating credential management and response caching mechanisms for efficiency.

Test various functionalities of the Model Context Protocol. Experiment with tools and resources in a controlled environment to enhance your LLM applications.

Provides access to Google Search Console data for advanced search analytics and customizable reporting. Enables retrieval of search performance metrics with support for multiple dimensions and flexible date ranges.

A dedicated Model Context Protocol (MCP) server engineered to query the Maven Central Repository, facilitating the validation of artifact dependencies and retrieval of their most current published releases.

A command-line utility designed for the unified administration of Model Context Protocol (MCP) endpoint services. It abstracts complex server topology management, enabling configuration persistence, logical grouping via profiles, and streamlined service lookup through a centralized registry. It also natively supports session sharing mechanics.

A standardized Model Context Protocol (MCP) bridge designed for seamless, programmatic interaction with Apache Kafka message streaming infrastructure. Facilitates message ingress/egress, lifecycle management for topics and consumer groups, and operational diagnostics of the cluster state, abstracting Kafka complexity for AI agents.

Provides reasoning capabilities using Deepseek's thought processes, enabling MCP-enabled AI clients to access and utilize Deepseek's reasoning outputs either through an API service or a local Ollama server.

Search for government grants using keywords and retrieve detailed information about eligibility and funding. Includes pagination and comprehensive filtering options for streamlining the grant search process.

Implement interface with Google's Custom Search Engine (CSE) to fetch and present external web search outcomes natively within applications. This augments application capabilities by enabling swift and extensive access to globally indexed online data.

Facilitates access to real-time financial data, including current prices and news for stocks and cryptocurrencies. Enables applications to retrieve accurate financial insights based on user-defined tickers and optional time periods.

A sophisticated orchestration engine designed for expert AI agents, enabling cooperative resolution of intricate challenges via the Model Context Protocol (MCP). It establishes a formal communication stratum and a unified context repository to augment agent efficacy and streamline automated workflows.

Integrates CrewAI's functionalities with MCP support, enabling the development of custom agents and tools while ensuring type safety and validation. Facilitates seamless tool integration with detailed execution metadata.

Provides healthcare professionals with curated medical knowledge and drug information specific to India, enhancing AI responses by grounding them in verified medical data and treatment protocols. Facilitates access to extensive branded drug databases and treatment guidelines to improve clinical decision-making.

Retrieves near real-time atmospheric condition reports for designated geographical points utilizing the public wttr.in endpoint, completely circumventing any prerequisite for proprietary access credentials.

Facilitates the translation of captured web browsing network activity (from HAR archives) into structured Model Context Protocols (MCPs), granting autonomous agents like Claude immediate, functional access to external web service capabilities.

Integrates data scraping, content processing, and AI capabilities, with features for document conversion, web scraping, and knowledge management. Supports real-time information access through various data APIs and secure code execution.

Leverage the RapidAPI client to retrieve current Twitter posts, facilitating seamless integration of social media intelligence into software projects with minimal prerequisite configuration.

Acquire instantaneous operational metrics for principal protocols within the Mantle Ecosystem, facilitating sophisticated capital deployment assessments. This tool is optimized for integration with autonomous AI agents for data ingestion and subsequent analytical processing.

Apifox MCP Server provides access to API documentation within Apifox projects, allowing AI tools to generate, modify code, and search through API documentation seamlessly. It facilitates direct interaction with API data through supported IDEs such as Cursor and VSCode.

Access diverse Naver search APIs for retrieving structured data across multiple categories including blogs, news, books, images, and shopping items. The server facilitates pagination, adult content filtering, and keyboard input error correction for enhanced search functionality.

Interact with GitHub repositories, manage issues, and automate workflows using GitHub's API. Enhance API responses and streamline interactions between LLMs and GitHub features.