APIs and HTTP Requests MCP Repositories

Utility for comprehensive extraction and enduring storage of WeChat desktop client conversations, ensuring message access—including multimedia and documents—regardless of future official application support lifecycle.

A high-performance Model Context Protocol (MCP) gateway providing secure, multi-tenant access to numerous PostgreSQL instances, supporting schema introspection, complex query execution, and atomic transaction management, all observable via integrated logging.

A utility for programmatically fetching and distilling key data—like article titles, author identities, supplementary headings, and primary textual body—from publicly accessible Substack publications directly within custom workflow environments.

Facility to fetch full address specifications within Brazil leveraging Postal Index Numbers (CEPs) to resolve thorough street, district, municipality, and federation unit details.

Control browsers for web interaction and automate tasks, including content retrieval and simulation of mouse operations on web pages.

Enables retrieval and processing of web content by fetching web pages and converting HTML to markdown for easier manipulation. Supports content extraction in chunks from specified starting indices to facilitate information retrieval from larger documents.

A utility service designed to ascertain the operational status of specified web addresses, reporting on current outages and historical service interruption records.

Leverage Google's PageSpeed Insights engine via an MCP server to furnish deep diagnostics and actionable optimization directives for web page performance characteristics.

Connects to clinicaltrials.gov to retrieve and summarize clinical trials related to specific genetic mutations through natural language queries.

Fetch and analyze LinkedIn posts data, providing insights through keyword search and engagement metrics analysis. Interacts with LinkedIn's API to manage public profile posts and filter results by various criteria.

Facilitates interaction with MySQL databases through a standardized interface, enabling operations such as querying, inserting, updating, and deleting data.

A secure intermediary service enabling API interaction, specifically featuring robust testing capabilities for platforms like OpenAI's generative models. It handles sensitive credentials safely, visualizes returned data clearly, and supports synthetic media creation (e.g., image synthesis).

Integrates with SearXNG to provide privacy-focused meta search capabilities, combining results from multiple search engines without tracking or profiling users. Supports various categories, languages, and filtering options, ensuring reliable and safe search experiences.

A dedicated server component implementing the Model Context Protocol (MCP) to securely facilitate interaction with n8n automation platforms, enabling workflow orchestration, execution management, and secure credential handling for Language Models.

A service designed to ingest and dispense OpenApi/Swagger definitions. It enables the automated fabrication of Model Context Protocol (MCP) clients based on defined API operations, while also incorporating Server-Sent Event (SSE) capabilities for bidirectional, low-latency data streams. Robust safeguards are integrated to manage access to the backend services.

Facilitates querying and evaluation of customer service interactions stored within Intercom, supporting granular specification via customer identity, resolution state, temporal bounds, and textual markers. Leverages Intercom's backend search mechanisms for optimized data retrieval.

Connect to various data sources for AI-powered data analysis and execute SQL queries to generate insights and visualizations. Provide textual and tabular summaries, allowing natural language questions to explore and analyze data without coding knowledge.

Interface for querying and streaming audio content from the YouTube Music platform, facilitating rapid enactment of musical requests within operational sequences. Embeds comprehensive sonic capabilities directly into established digital workflows.

Interface for accessing German renewable power infrastructure news and documentation, enabling users to refine searches based on specific geographic coordinates and diverse green energy classifications. Facilitates time-bound and recency-based data retrieval operations utilizing secure, structured protocols.

A centralized protocol server designed to fetch and synthesize real-time information from Google's ecosystem and dynamic web pages, thereby enriching AI agent reasoning and contextual awareness.

Facilitates communication with SAP ABAP backend environments leveraging the Model Context Protocol (MCP). This utility server enables external tooling to securely query critical development artifacts, such as source code listings and Data Dictionary schema definitions, acting as a crucial intermediary layer.

Facilitates integration of the Protocol for Model Command (PMC) with OpenAI's inference endpoint, enabling external utility invocation via a containerized execution environment. Supports dynamic dispatch of capabilities and data retrieval predicated on user inputs.

Retrieve and process web content by converting HTML to markdown, enabling easier extraction of information in manageable chunks. Supports starting extraction from a specified character index for better navigation of web content.

A consolidated access mechanism that merges functionalities from disparate backend MCP servers and presents them via a standardized Server-Sent Events (SSE) interface, simplifying client integration and facilitating complex MCP tool coordination.

A Model Context Protocol (MCP) server component designed for comprehensive interaction with diverse Naver platforms, enabling sophisticated information retrieval across blogs, news feeds, publications, and more, leveraging the official Naver Developer APIs. This facilitates robust search and data validation within applications.

Manage and serve AI prompts using a TypeScript-based API that implements the Model Context Protocol. This server streamlines prompt handling and enhances AI applications through environment-based configuration and a monorepo structure.

Acquires digital assets from specified web addresses, supporting output formats like structured markup (HTML), data serialization (JSON), raw text, and Markdown notation, with options for modifying request metadata.

Facilitates intuitive, conversational management and telemetry retrieval for Fastly Content Delivery Network deployments through the Model Context Protocol (MCP). It automates complex operations like cache invalidation, infrastructural modifications, and acquisition of live performance metrics from the Fastly platform endpoints.

A utility that intercepts and streams web browser console diagnostics directly into the Cursor Integrated Development Environment via the Model Context Protocol (MCP), enabling streamlined, context-aware debugging.

Accelerates data throughput between language model invocations by employing an intelligent intermediate storage layer, thereby minimizing token overhead and augmenting response latency characteristics. This mechanism interfaces transparently with any conforming MCP client architecture and token-dependent generative models.