Provides AWS CLI functionality through a standardized MCP interface, enabling portable use across various AI tools and environments.

Enables AI assistants to interact with Inflectra Spira platforms, bridging natural language commands to the Spira REST API.

Build tools out of any data source and deploy them to an endpoint in the cloud for use in any Agentic Framework.

Provides agents and large language models with direct access to Hyperbolic's GPU cloud, enabling listing, renting, managing, and SSH-ing into GPU instances for executing GPU‑powered workloads.

Enables programmatic creation, updating, and interaction with Label Studio projects, tasks, and predictions via an MCP server.

Provides a Model Context Protocol (MCP) compatible API server that exposes HarperDB tables and custom resources as structured JSON‑RPC resources, enabling read‑only data access, filtering, and pagination.

Provides a secure and structured interface for AI assistants to explore and analyze GreptimeDB, enabling table listing, data reading, and SQL execution through controlled endpoints.

Deploy applications to Google Cloud Run using AI‑driven commands and tool integration.

Provides a set of tools for MCP clients to interact with GibsonAI projects and databases using natural‑language instructions, enabling schema design, migrations, queries, and deployments directly from IDEs.

Interact with a Fibery workspace using natural language through any MCP‑compatible LLM provider, enabling querying, inspection, creation and updating of entities via conversational interfaces.

Enables AI agents to securely purchase items by providing wallet balance queries, payment method listings, offer payments, and detailed payment information through a lightweight MCP server.

Provides a Model Context Protocol (MCP) server that bridges AI models with FalkorDB graph databases, translating MCP requests into graph queries and returning standardized responses.

Enables Claude and other LLMs to interact with EduBase's e-learning platform via the Model Context Protocol (MCP).

Provides a comprehensive Model Context Protocol server that integrates all Dumpling AI endpoints, enabling data extraction, web scraping, document processing, AI agent interactions, image generation, and secure execution of JavaScript or Python code via a single HTTP interface.

Provides an MCP server that enables scraping of web pages via the ScrAPI service, returning the content as HTML or Markdown for downstream processing.

A CLI and server for deploying applications from Docker Compose to the cloud.

Provides translation and rephrasing capabilities via the DeepL API, exposing tools through a Model Context Protocol server.

Provides a Model Context Protocol interface to the Rodin API, enabling AI models to interact with Rodin services efficiently.

Enables large language models to perform CRUD operations, list scopes/collections, and execute SQL++ queries directly against Couchbase clusters via a Model Context Protocol (MCP) server.

Provides a bridge between Contrast vulnerability data and AI agents, enabling automated remediation of code flaws and third‑party library issues.

Provides impact analysis tools for code and database changes within AI programming assistants, leveraging CodeLogic's software dependency data.

Provides tools that let AI assistants run read‑only SQL queries against ClickHouse clusters or the embedded chDB engine, plus a health‑check endpoint for service monitoring.

Provides an MCP server that bridges CircleCI's infrastructure with AI‑powered development tools, enabling natural‑language interactions to manage pipelines, retrieve logs, and perform other CI operations.

Provides access to Chronulus AI forecasting and prediction agents through a Model Context Protocol server that can be invoked from Claude.

mcp-google-sheets is a Python-based MCP server designed to serve as a bridge between MCP-compatible clients and the Google Sheets API. It enables AI-driven automation and data manipulation workflows by allowing natural language interaction with Google Spreadsheets.

A Model Context Protocol (MCP) server that provides advanced HTTP request capabilities for Claude and other LLMs, enabling realistic browser emulation and document conversion.

mcp-server-apache-airflow is a Model Context Protocol (MCP) server implementation for Apache Airflow. It provides a standardized way to interact with and manage Airflow functionalities through MCP clients.

The OCM MCP Server acts as a robust gateway for Generative AI (GenAI) systems to interact with multiple Kubernetes clusters via the Model Context Protocol (MCP).

Databricks Genie MCP Server connects Large Language Models (LLMs) with the Databricks Genie API, enabling LLMs to interact with Databricks conversational agents, run SQL queries, and ask natural language questions directly within the Databricks environment.

MCP-Soccerdata is an open-source Model Context Protocol (MCP) server that connects to the SoccerDataAPI to deliver up-to-date football match information via natural language interactions.

GR-MCP is a Machine Control Protocol (MCP) server for GNU Radio that enables programmatic and AI-driven creation and modification of GNU Radio flowgraphs. It facilitates seamless integration with LLMs and automation frameworks to control Software Defined Radio (SDR) workflows at scale.

A Model Context Protocol (MCP) server that enables secure interaction with OceanBase databases, allowing AI assistants to list tables, read data, and execute SQL queries through a controlled interface.