APIs and HTTP Requests MCP Repositories

Provides a dedicated backend service for interacting with the X (formerly Twitter) platform's public API. Core functions include fetching the user's personalized feed, programmatically drafting and posting new status updates, and issuing replies to existing posts. Implements robust, built-in throttling management calibrated for the constraints of the complimentary X API access tier, utilizing a fully typed TypeScript architecture for enhanced reliability.

A Model Context Protocol (MCP) implementation leveraging the Perplexity AI service for advanced, context-aware conversational completions, featuring configurable prompt strategies for diverse application requirements.

Manages multiple MCP servers and dynamically routes requests across them. Fetches tool, prompt, and resource configurations from the MetaMCP App.

A specialized engine designed for sophisticated financial investigation, leveraging the Octagon Market Intelligence platform to furnish granular data encompassing regulatory submissions, corporate earnings discussions, quantitative performance indicators, and live ticker market feeds.

Retrieve external web assets via various HTTP verbs, managing request metadata like headers and payloads. Offers configurable request duration limits and redirection policies for robust data acquisition.

Facilitates interaction between Claude Desktop and A2A protocol agents by managing server registration, listing agents, and sending prompts. Designed for development and experimentation, it provides tools specifically for agent communication and management.

Enable interaction with WhatsApp Business API to send messages, manage groups, and handle chat functionalities using a Model Context Protocol interface.

Grants read-only interfaces to the Hugging Face Hub services, facilitating interaction with models, datasets, documentation, and asset collections via a proprietary `hf://` uniform resource identifier (URI) notation.

Instantiate Model Context Protocol (MCP) endpoints using TypeScript, bypassing any mandatory compilation prerequisites. This utility facilitates seamless incorporation with client applications such as Cursor, Windsurf, and Claude Desktop. It expedites the lifecycle of developing and deploying MCP backends by offering an unopinionated, vendor-agnostic foundation.

Facilitates LLM interaction with GraphQL APIs, furnishing capabilities for schema introspection and query execution to enable dynamic data retrieval. Includes secure handling mechanisms for safe deployment in live settings.

A specialized MCP service designed to dispatch diverse message formats to a WeCom team robot, enabling streamlined status updates and alerts within the WeCom ecosystem.

A comprehensive sandbox environment implementing the Model Context Protocol (MCP), featuring server endpoints, utility functions, structured data definitions, and sampling mechanisms for engineers. It provides foundational codebases in both TypeScript and Python to facilitate the construction and validation of MCP client applications.

Enables seamless YARA rule-based threat analysis and management for AI assistants, focusing on file analysis and standardized interactions for enhanced security in threat detection.

A backend utility automating digital media asset transformation across diverse formats (video, audio, static images). It rigorously validates the presence of the FFmpeg binary prerequisite, offering comprehensive format handling capabilities for streamlined media lifecycle management.

Facilitates secure, programmatic interaction with Salesforce environments via its API layer. Enables advanced operations such as executing custom SOQL queries, manipulating standard/custom records (CRUD), and fetching detailed schema definitions. Features robust credential management for seamless, real-time data synchronization.

Converts LaTeX mathematical expressions to MathML format. Supports both tool-based and resource-based access for integration into applications using the MCP protocol.

Seamless access to various AI models through a unified, type-safe interface with features like caching, rate limiting, and error handling.

Interface with the Trakt.tv API to access current entertainment metadata, track personal viewing logs, facilitate content discovery, and generate tailored media suggestions for AI agents.

Interact with Supabase databases, executing complex queries and generating TypeScript types. Simplify database interactions and enhance type management through a seamless interface.

Integrates webhook-based services with large language model applications, facilitating dynamic data retrieval and action handling. Supports connections to external webhooks for enhanced AI workflows.

Connect to Spotify for controlling playback and managing your music library, including playlist management support. Features include searching for tracks, getting information about music entities, and managing the playback queue.

Enables safe, read-only interaction with PostgreSQL systems by allowing LLMs to issue structured SQL queries and retrieve database schema definitions. Preserves transactional integrity through enforced read-only operations.

Web search functionality using the Perplexity API to retrieve up-to-date information with comprehensive results, including sources and citations, while allowing filtering by time periods.

Interface for accessing Shodan's extensive network security data, leveraging both the main API and the CVEDB. Facilitates deep network reconnaissance, DNS resolution checks, vulnerability intelligence retrieval, and internet-wide device mapping. All outputs are structured JSON objects optimized for immediate programmatic consumption.

Facilitates the integration of advanced voice synthesis services into applications, transforming textual input into high-fidelity spoken audio. It offers granular control over vocal characteristics and output encoding, supplemented by a convenient terminal utility for immediate text-to-audio operations.

Integrates multiple AI services, providing a unified command-line interface for accessing tools, managing files, and interacting with language models. Facilitates seamless communication between various APIs without reimplementing them.

Facilitates advanced data querying, retrieval, and analytical operations against Typesense indexes by bridging AI models with its powerful search backend.

Deploy an MCP server utilizing Cloudflare's edge network with bearer token authentication for enhanced security and real-time capabilities in applications. This server enables integration of various tools and resources within a serverless architecture.

SentinelAPI leverages specialized apparatuses under the Model Context Protocol (MCP) framework to rigorously scrutinize backend service interfaces for various security deficiencies. It excels at pinpointing prevalent security flaws, encompassing injection vectors, unintentional data exposure, and inadequate authorization mechanisms, while concurrently furnishing extensive documentation for exhaustive security audits.

Integrates with Backlog projects to provide data access and analysis. Retrieve project details, manage issues, and generate summaries using Backlog's API.