APIs and HTTP Requests MCP Repositories

A utility to interface with the V2EX platform's data endpoints, facilitating operations such as fetching user alerts, managing authentication credentials, and browsing community discussions via a singular access point.

Interact with Datagouv APIs to retrieve up-to-date company information in France, allowing searches by company name, CEO, or address through a simple API interface.

Access extensive financial datasets from the Yahoo Finance repository, covering historical trading metrics, corporate fundamentals, official financial disclosures, derivative contract details, and contemporaneous market narratives.

Enhance decision-making through systematic, iterative refinement of thoughts and designs using the Chain of Draft protocol. Supports reasoning, API design, code reviews, and implementation planning with comprehensive error handling and real-time logging.

A Model Context Protocol (MCP) endpoint facilitating AI agent access to external web intelligence platforms, specifically integrating search functionalities from providers like Google and Bing for web, visual, and video content via a unified interface.

A comprehensive utility suite leveraging Gemini AI for in-depth examination of YouTube video content. Capabilities include video information retrieval, text extraction from speech, content condensation, and sophisticated conversational querying over the video material, alongside search and audience feedback assessment functionalities.

Interfacing with GraphQL APIs, enabling LLMs to execute queries and perform schema introspection dynamically.

A Model Context Protocol (MCP) endpoint offering extensive quantitative and qualitative investment data sourced exclusively from the Yahoo Finance platform. It facilitates retrieval of stock performance metrics, corporate structural details, statutory financial filings, derivatives pricing information, and pertinent market commentary for rigorous investment appraisal and thorough market scrutiny.

A collection of backend implementations facilitating the retrieval of current meteorological data, forecasts, external professional profile extracts from LinkedIn, and literature abstracts sourced via PubMed queries, all accessible through the Model Context Protocol (MCP).

Enables LLMs to execute read-only SQL queries against MySQL databases and inspect database schemas. Retrieves schema information including column names and data types for each table.

Interface for obtaining synchronized textual records and associated subtitle files from selected YouTube multimedia assets, facilitating access to captioned content and rich video metadata via a straightforward protocol.

Enables interaction with MySQL databases, allowing secure connections, execution of queries, and support for read-only mode and multiple queries.

A standardized framework for coordinating numerous artificial intelligence engines and diverse data retrieval mechanisms. This system enables unified access and manipulation of information, promoting easy interaction with an expanding catalog of specialized connectors to augment application functionality.

Utilizes the ZEN University syllabus content to recommend subjects for aspiring front-end engineers, facilitating detailed course consultations based on enrollment requirements.

Delivers immediate lookup capabilities into TypeScript API schematics for generative AI models, facilitating swift comprehension and leveraging of novel interfaces without iterative model fine-tuning. Substantially boosts developer velocity by enabling AI entities to interrogate and conform to previously unseen application programming interfaces.

Facilitates the acquisition of textual artifacts from websites that employ anti-bot countermeasures. This specialized server is tuned for modest-scale content retrieval, enabling the parsing of textual and HTML data otherwise shielded from large language models.

Interact with Neon serverless Postgres databases using natural language for tasks such as database creation and management, running SQL queries, handling migrations, and managing projects.

Search for academic papers, retrieve detailed information about specific papers and authors, and access citations and references through the Semantic Scholar API.

A utility designed to enable advanced conceptual searching over content stored within an Elasticsearch cluster, specifically targeting technical articles indexed from the Search Labs repository. It streamlines the process of content ingestion and retrieval through vector-based similarity matching.

Enables bidirectional, real-time communication via Server-Sent Events (SSE) within a FastAPI application, specifically architected to support the Model Context Protocol (MCP) for interfacing AI agents with external data and tooling. Features bespoke route definitions and structural clarity.

Retrieve and manage data for Pump.fun coins, including fetching featured coins, sorting and ordering lists of coins, and obtaining detailed information about specific coins.

A service gateway adhering to the Model Context Protocol (MCP) for interacting with the Kibela knowledge management system. It facilitates advanced capabilities such as querying, structural management of articles and directories, and leverages generative AI assistance for content authoring, designed to integrate tightly with MCP-compliant client applications like VSCode or Claude Desktop.

An MCP service engineered to facilitate deep, current information retrieval from the internet via the Tavily search engine. It features robust result appraisal, data caching mechanisms, and persistent logging of search interactions, furnishing access to detailed findings including document titles, URIs, content excerpts, and synthesized AI summaries.

A robust Python-based Model Context Protocol (MCP) orchestrator engineered for software development workflows. This system abstracts multiple proprietary Large Language Model (LLM) backends, delivering integrated features such as performance visualization, operational expenditure tracking, and synchronized execution across cooperative autonomous agents.

Integrate with the Keitaro TDS API to manage campaigns, streams, offers, and other related entities. Access and manipulate marketing data directly from your workspace to enhance productivity and streamline processes.

Facilitates seamless integration with Oracle Databases by employing Language Model inferences to construct precise SQL queries and retrieve resultant datasets, thereby streamlining application-level data manipulation workflows.

Facilitates real-time internet searches using the Bocha AI search API, enabling applications to access and retrieve web-based information efficiently. Requires an API key for integration and supports setup through a specific configuration format.

Facilitates natural language interaction with backend data stores, enabling fundamental CRUD (Create, Read, Update, Delete) and aggregation tasks. Initially supports document databases like MongoDB, with future expansion targeting relational systems (PostgreSQL) and high-speed key-value stores (Redis, CockroachDB).

Access and retrieve IETF RFC documents, enabling search by keywords and management of document pagination. Provides standardized access to essential specifications for Large Language Models.

Facilitates structured querying and deep financial data introspection of Beancount ledgers by employing the Beancount Query Language (BQL), dramatically improving the accessibility and analytical power of stored financial records.