Cloud Services MCP Repositories

A Model Context Protocol (MCP) endpoint designed to interface with EMQX MQTT broker deployments, facilitating comprehensive administration and querying of active MQTT client connections.

Interact with Apache Kafka clusters through a standardized interface, enabling the production and consumption of messages, management of topics and consumer groups, and monitoring of cluster health. Simplifies Kafka operations and diagnostics with pre-configured tools and prompts.

Manage and operate Terraform environments through command-line interactions, enabling reading Terraform configurations, analyzing plans, and applying changes. Integrates AI assistants for enhanced infrastructure management.

Connect and execute SQL queries on Snowflake databases while managing database connections and securely handling query results for AI applications.

Provides real-time cost data from OpsNow to MCP clients using the MCP protocol, facilitating efficient communication and access to asset and cost information.

Manage personal to-do lists using Notion's API, enabling task addition, updates, and viewing directly within the workspace. Integrates with a Model Context Protocol server for efficient task management.

Build and deploy an AI chatbot using Next.js with advanced routing, server-side rendering, and support for multiple LLM providers. Features include chat history persistence and secure data handling with Postgres and Blob storage.

Integrate OpenMetadata with MCP clients using a standardized interface to interact with OpenMetadata's REST API. Facilitates access to data assets and related metadata through the Model Context Protocol.

Integrate natural language processing with SingleStore to manage data and execute SQL queries via a user-friendly interface. It simplifies workflows by providing seamless access to database resources.

Integrates Apache Airflow's REST API with the Model Context Protocol, enabling MCP clients to interact with Airflow tasks and workflows effectively. Facilitates standardized communication between AI models and Apache Airflow for job orchestration.

Facilitates read-only data introspection for Intacct via the Model Context Protocol (MCP), empowering Large Language Models (LLMs) to conduct queries against live financial records using natural language interactions.

Provides secure, read-only access to BigQuery datasets, allowing for natural language querying of data without the need to write SQL queries manually. Facilitates direct communication between language models and BigQuery for efficient data retrieval.

Interact with Descope's Management APIs to manage users and retrieve audit logs, enabling effective project administration and user management.

Integrates with AWS Cognito for secure user authentication and management, facilitating workflows such as user sign-up, sign-in, password resets, and multi-factor authentication through a standardized MCP interface.

Integrate applications with external APIs while managing and streamlining API access and usage. Facilitates simple implementation of various services and data sources within software projects.

Interface with the Sentry telemetry platform to fetch error diagnostics, govern application configurations, and track operational performance metrics.

Connect to Airtable databases to read and write records, inspect database schemas, and manage data efficiently.

Facilitate interaction with SuzieQ network telemetry platforms through their standardized REST interface, enabling retrieval of granular network topology datasets and calculation of performance metrics.

MCP Router simplifies the management of multiple MCP servers by providing a unified interface to route and direct MCP requests. It supports both local and remote servers, facilitating connections to various MCP resources and tools with secure access control and logging features.

Create MCP servers in TypeScript with zero build configuration, facilitating integration with various clients like Cursor, Windsurf, and Claude Desktop. Streamlines the development and publishing process of MCP servers with a straightforward setup and no vendor lock-in.

Facilitates the integration of Fledge operational capabilities with Cursor AI reasoning engine, enabling intuitive, natural language interfacing for accessing telemetry, managing system operations, and generating associated visualization artifacts.

Facilitates programmatic engagement with the Webflow platform's Application Programming Interfaces (APIs), enabling automation for site structure administration and content modification via scripted external calls.

A self-hosted browser automation agent that executes natural language commands to control web activities, integrating easily with other AI applications and agents through MCP and A2A support.

Automate browser tasks using the Browser Use API. Manage and monitor automation tasks, including the ability to run, pause, and resume operations while retrieving task information.

Seamlessly interact with a Nocodb database to perform CRUD operations on its tables using the Model Context Protocol. Manage data efficiently with functionalities for adding, updating, deleting, and retrieving records.

Interact with Google's Chronicle Security Operations suite to enhance security monitoring by searching for security events, retrieving alerts, and looking up entity information.

Facilitates secure, containerized execution of Python scripts, specializing in managing ephemeral Python environments, orchestrating code runs, and handling necessary dependency installations. It ensures robust session separation and automated reclamation of allocated computing resources.

Retrieve and analyze issues from Sentry accounts, enabling inspection of error reports, stack traces, and debugging information to enhance application reliability.

Facilitate communication with Databricks infrastructure (compute, workflows, code artifacts) leveraging the Model Completion Protocol (MCP). Enables intelligent automation and streamlined orchestration of data processing pipelines.

Interact with Confluent Kafka and Confluent Cloud REST APIs, managing Kafka resources and data schemas through a user-friendly interface. Enable natural language interactions for handling Kafka topics, connectors, and Flink SQL statements.