MCPs tagged with workflow orchestration
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nerve
The Simple Agent Development Kit for LLM-based automation with native MCP support
Nerve provides a platform for building, running, evaluating, and orchestrating large language model (LLM) agents using declarative YAML configurations. It supports both client and server roles for the Model Context Protocol (MCP), allowing seamless integration, team collaboration, and advanced agent orchestration. With extensible tool support, benchmarking, and LLM-agnostic handling via LiteLLM, it enables programmable and reproducible workflows for technical users.
- ⭐ 1,278
- MCP
- evilsocket/nerve
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mcp-server-apache-airflow
A Model Context Protocol server for integrating Apache Airflow with MCP clients.
mcp-server-apache-airflow provides a Model Context Protocol (MCP) server implementation that allows standardized interaction with Apache Airflow environments. By wrapping Airflow's REST API, it enables MCP clients to manage and orchestrate workflows, DAGs, and runs in a consistent and interoperable manner. This implementation leverages the official Apache Airflow client library to ensure robust compatibility and maintainability. It streamlines the management of Airflow resources by exposing comprehensive endpoint coverage for key workflow operations.
- ⭐ 109
- MCP
- yangkyeongmo/mcp-server-apache-airflow
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HarmonyOS MCP Server
Enables HarmonyOS device manipulation via the Model Context Protocol.
HarmonyOS MCP Server provides an MCP-compatible server that allows programmatic control of HarmonyOS devices. It integrates with tools and frameworks such as OpenAI's openai-agents SDK and LangGraph to facilitate LLM-powered automation workflows. The server supports execution through standard interfaces and can be used with agent platforms to process natural language instructions for device actions. Its design allows for seamless interaction with HarmonyOS systems using the Model Context Protocol.
- ⭐ 25
- MCP
- XixianLiang/HarmonyOS-mcp-server
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Kestra Python MCP Server
Run Kestra orchestrations with Model Context Protocol support via Docker.
Kestra Python MCP Server enables integration of the Kestra workflow orchestration platform with environments that use the Model Context Protocol (MCP). It provides a Dockerized MCP server for managing workflows, executions, files, namespaces, and more, with support for both Open-Source (OSS) and Enterprise Edition (EE) setups. The server can be configured easily using environment variables and is compatible with tools like VS Code and Claude, making model-driven orchestration accessible and modular.
- ⭐ 16
- MCP
- kestra-io/mcp-server-python