APIs and HTTP Requests MCP Repositories

A utility suite for aggregating source artifacts from specified file system locations and leveraging sophisticated generative AI models (via OpenAI API) to perform deep code evaluation and automated narrative creation.

A robust, extensible orchestration engine facilitating automated sequences by connecting over 400 distinct services and software components. It provides a unified environment supporting both visual, low-code diagramming and imperative scripting via JavaScript or Python, including advanced capabilities for constructing complex, data-driven artificial intelligence conversational flows.

Provides programmatic access to extensive cryptocurrency market intelligence sourced from CoinMarketCap, encompassing asset listings, real-time valuations, and trading pair details. Features built-in intelligent data caching and strict compile-time typing to optimize interaction speed and developer experience.

Interact with PostgreSQL databases using read-only transactions for safe query execution and schema inspection. Execute queries and retrieve insights without modifying the underlying data.

A Model Context Protocol (MCP) service designed to compute descriptive statistics and formulate machine learning forecasts by processing datasets residing in PostgreSQL environments or external CSV artifacts, driven by user-defined operational parameters.

Integrates a tool-augmented LLM pipeline to provide answers to time-related and general inquiries. Utilizes a Flask API for current timestamps and employs an MCP Agent for intent detection and interaction with an LLM via OpenRouter.

Facilitate the creation and management of conversational threads for DingTalk's artificial intelligence features, providing robust connectivity to the core DingTalk service endpoints. This includes mechanisms for message transmission, authentication credential retrieval, and execution of assistant routines.

Fetch and manage RSS feeds with caching and filtering capabilities. Integrates seamlessly with LLMs to provide access to the latest articles from various sources.

Query and traverse the comprehensive dataset repository housed within the PRIDE Archive, leveraging structured query syntax. This utility enables seamless incorporation of analytical algorithms with expansive biomedical findings for optimized data acquisition and examination.

Connect to databases using ODBC, enabling real-time data fetching, schema exploration, and query execution. Provides functionalities for managing schemas, tables, and stored procedures across various database management systems.

Toolchain utility for provisioning bespoke MCP services using Smithery manifests and leveraging Cursor IDE integration directives. Supports instantiation from predefined blueprints like web retrieval agents or persistent data store connectors.

A robust server component enabling autonomous agents to participate in web conferences (like Zoom, Google Meet, Teams), capture session dialogue, and produce succinct post-meeting executive summaries.

A robust utility designed to extract auditory streams from diverse online video hosts, such as YouTube and TikTok, subsequently converting this extracted audio into textual transcripts utilizing a suite of distinct speech-to-text engines. It inherently supports non-blocking, asynchronous execution workflows and incorporates speaker diarization capabilities for advanced content summarization and analysis.

A standardized API gateway for interacting with diverse artificial intelligence engines accessible via the Replicate platform, primarily focusing on visual content synthesis capabilities, including mechanisms for scaling output dimensions and optimizing rendered assets. Future iterations plan integration for textual and temporal media creation workflows.

Lightweight Python-based server for managing and creating CrewAI workflows utilizing the Model Context Protocol (MCP) to communicate with Large Language Models and various tools. Supports automatic configuration of agents and tasks through YAML files and provides command line options for customization.

A standardized interface enabling artificial intelligence agents to engage with the MyMCPSpace bot social ecosystem, supporting functionalities like content publication, responses, endorsements (likes), and retrieval of recent network activity streams.

A configurable service environment adhering to the Model Context Protocol (MCP) specification, engineered for constructing and augmenting MCP-compliant systems, featuring robust mechanisms for orderly termination and diverse build profiles suitable for both iterative development cycles and hardened production deployment.

A robust TypeScript template for constructing bespoke Model Context Protocol (MCP) bridging entities. This scaffold facilitates secure linkage between sophisticated artificial intelligence agents and external data repositories or remote service APIs, ensuring fluid data exchange and retrieval capabilities. It incorporates native utility modules for network address inspection and command-line interface provisioning to streamline deployment workflows.

Establishes a direct conduit to an active iTerm environment, enabling command execution, interactive REPL engagement, and streamlined management of terminal output streams. It furnishes the mechanism for governing terminal behaviors and facilitates real-time task delegation and feedback loops with the integrated model based on captured terminal content.

A Model Context Protocol (MCP) service engineered to ingest documentation from diverse sources (web URLs or local files) and index it within a specialized vector data store. This infrastructure facilitates sophisticated semantic querying, significantly augmenting Large Language Model (LLM) contextual understanding and response fidelity.

Provides read-only access to MySQL databases, enabling users to list databases, tables, and execute read-only SQL queries while ensuring no data modifications are possible.

A framework component enabling seamless interaction between Model Context Protocol (MCP) systems and Microsoft Teams communications. It facilitates advanced message retrieval via PostgreSQL/pgvector indexing, maintains history in DuckDB, and provides a comprehensive Command Line Interface (CLI) for local debugging and operational control.

Perform network analysis and security assessments through NMAP by interacting with an AI assistant for network scanning operations.

Access and interact with detailed anime and manga data, including information about shows, characters, and user profiles. Supports searching and filtering of various media types from AniList.

Bootstrap utility for establishing Model Context Protocol (MCP) endpoints, facilitating custom tool integration and real-time data pipeline connectivity. Utilizes a unified contract to augment large language model capabilities.

Interface with the HubSpot Customer Relationship Management (CRM) system to retrieve and manipulate records pertaining to sales prospects, ongoing transactions, and organizational entities, facilitating detailed sales performance examination and strategic optimization.

Connect AI applications to external tools and data sources while maintaining user control. Integrate with local services and APIs, enabling enhanced functionality and user interaction.

Interface to retrieve currently popular GitHub repositories and contributors, supporting granular filtering by language, temporal window, and linguistic context, delivering results as structured JSON objects.

Provides real-time cryptocurrency market data, enables portfolio tracking, and offers news access through the CoinStats API. Simplifies crypto data retrieval and integration into applications or agents.

A Model Context Protocol (MCP) implementation designed to bridge AI agents with Kakao's ecosystem by interfacing with the Kakao Developers REST APIs, specifically enabling official account communication.