APIs and HTTP Requests MCP Repositories

A dedicated Model Context Protocol service engineered to retrieve comprehensive macromolecular data directly from the UniProt knowledgebase. It facilitates single or concurrent lookups for essential protein attributes, such as functional annotations, primary structure sequences, and taxonomic lineage.

Interface with the EduBase backend to dynamically construct examinations, administer secure testing protocols, and streamline evaluation pipelines. It leverages a robust, secure Application Programming Interface (API) for seamless integration with existing infrastructure, enabling tailored educational pathways and adherence to enterprise-level security mandates.

Facilitates direct operational control over MongoDB instances, enabling sophisticated data retrieval, schema examination, and manipulation tasks using conversational language inputs.

Utilizes web search capabilities to efficiently retrieve information while automatically selecting the most suitable AI model based on the user’s query intent. Offers intelligent options for domain and recency filtering to enhance search results.

Interact with the Deriv API to access active trading symbols and retrieve account balances. Simplifies trading operations by providing seamless integration capabilities with applications.

A comprehensive toolkit architecture engineered to unify and manage disparate operational utilities via the Model Context Protocol (MCP). Facilitates rapid deployment of capability-driven workflows and supplies a repository of essential, pre-configured functional modules.

A dedicated Model Context Protocol (MCP) backend engineered for the lifecycle management (CRUD) of curated inspirational sayings and aphorisms. This system features tight coupling with the Claude for Desktop client for streamlined user interaction.

Connects to Prometheus metrics and data through the Model Context Protocol (MCP), providing access to metric schemas and detailed metadata, along with statistical information.

Facilitates interaction with a remote MySQL database instance, enabling agents to issue arbitrary SQL commands. Data retrieved or modified is consistently serialized into JSON output.

Facilitates AI agent interaction with the Feishu/Lark enterprise ecosystem APIs. This connector handles various platform operations, including document manipulation, chat management, and scheduling functions, supporting multiple security schemas and diverse communication transport layers for seamless integration.

Connects to ODBC-compatible databases for querying, analyzing, and generating insights from data while ensuring read-only access to prevent modifications.

Retrieve tobacco product specifications from the Yanyue repository via keyword search. This server component embeds Yanyue.cn's data fetching capabilities into automated operational pipelines, ensuring access to current market intelligence.

Connect to Elasticsearch data and interact with indices through natural language queries for intuitive data retrieval.

Facilitates product lookups by invoking an external interface to fetch item lists, delivering results formatted in Markdown, complete with interactive product hyperlinks and associated pricing data.

Build custom servers for AI agents to connect with external systems and data sources. Supports both stdio and HTTP transports, enabling flexible interactions and structured tool definitions.

A sophisticated mechanism for executing multi-phase, parallelized investigative projects via specialized AI agents, coordinated through an orchestration layer to yield meticulously structured, high-fidelity research artifacts.

A Model Context Protocol (MCP) mechanism to serve RESTful interfaces, defined via OpenAPI documents, as consumable MCP resources. This enables LLMs to natively discover and invoke external web services.

Facilitates connections to diverse blockchain and Web3 utilities through the Heurist Mesh Application Programming Interface, granting access to cryptocurrency intelligence, smart contract auditing, and direct chain operations.

A read-only Model Context Protocol (MCP) server implementation facilitating natural language data retrieval from live Jira instances, eliminating the need for direct SQL scripting via the CData JDBC Driver for Jira.

Provides an interface layer for large language models to execute natural language queries against live Salesforce records, eliminating the necessity for direct SQL proficiency. This solution facilitates AI-driven data retrieval, schema introspection, and query execution against Salesforce instances.

Interface for accessing and processing comprehensive data sets from the National Center for Biotechnology Information (NCBI) repositories, such as PubMed literature, Gene annotations, and Protein records, to support advanced bioinformatics analyses and data integration.

Enables interaction with RabbitMQ message brokers, facilitating operations with queues and topics. Designed for seamless MCP client integration to exchange messages over RabbitMQ instances.

Exposes FastAPI endpoints as Model Context Protocol (MCP) tools with zero configuration, allowing integration of FastAPI APIs with large language models while maintaining schemas and documentation.

Interact with YouTube to perform video searches, extract transcripts, retrieve comments, and obtain detailed information about videos and channels. Provides advanced filtering options and access to trending videos and transcript analysis.

Interface for querying and obtaining biomedical literature, research articles, and associated metadata from the NCBI PubMed database. Features include robust search capabilities, parallel processing for batches, and access to open-access full texts and abstracts.

Provides hourly weather forecasts by utilizing the AccuWeather API to fetch and deliver weather data for specified locations.

Enables natural language querying of databases through the BlazeSQL API, transforming plain English queries into SQL and JSON results. Facilitates seamless integration with MCP-compatible clients for enhanced data interaction.

Integrate with the Perplexity AI API to access advanced question answering and search functionalities. Supports multiple models with customizable prompts and rate limiting for efficient responses.

Facilitates secure data conduit operations between Artificial Intelligence inference engines and Electronic Health Record (EHR) systems, utilizing the FHIR standard via SMART authorization mechanisms and exposing functionalities through the Model Context Protocol (MCP) for structured clinical information retrieval.

Connects to ClinicalTrials.gov to search for and access detailed clinical trial information programmatically, facilitating efficient data retrieval for health sciences research and analysis.