"Task" matching MCP servers:

Enables LLMs to interact with any ERPNext instance through comprehensive CRUD operations, advanced permissions, and a web chat interface.

Airflow MCP server — read DAGs, runs, task instances, log tails; trigger and clear (write-gated).

A Model Context Protocol server that exposes Apache Airflow's REST API to AI agents, enabling them to inspect and operate on DAGs, DAG runs, task instances, and logs.

Enables restaurant management through natural language, allowing import of Toast CSV data, labor/sales analysis, tip pool calculations, task management, and note-taking.

Enables users to interact with Apache Airflow through MCP to monitor DAGs, inspect runs and logs, and diagnose task failures using natural language.

Enables natural language management of Apache Airflow workflows, including DAG monitoring, task control, and configuration, via the Model Context Protocol.

An MCP server for controlling Apache Airflow 3 via its REST API, enabling operations like DAG management, task monitoring, and more through natural language.

Enables AI assistants to create, monitor, and manage computational tasks through GA4GH Task Execution Service (TES) functionality. Provides seamless access to TES-compliant services for executing bioinformatics and scientific computing workflows.

Enables LLMs to interact with Kitsu production tracker via its Zou API, providing tools for project management, asset and task operations, and cross-platform migration support.

Enables interaction with Apache Airflow through the Model Context Protocol, allowing users to manage DAGs, task instances, variables, connections, pools, XComs, and datasets.

Enables to control AiDataTaskRunner panel for backtesting tasks via MCP, allowing task management, configuration, and monitoring through natural language.

Enables tracking of Tarkov PvE progress, item needs, stash contents, and task/route verdicts via an MCP server.

A multi-purpose MCP server that enables Reddit research for market validation, data visualization with charts, medicine information lookup, user preference management, and task management tools. Provides comprehensive utilities for research, data analysis, and personal productivity through natural language interactions.

A minimal, extensible MCP server to run dbt models via CLI, HTTP API, or AI interfaces like Claude, with Slack notifications for task completions.

MCP server exposing Apache Airflow REST API operations as tools — list DAGs, inspect runs and task instances, trigger DAG runs, and check failed DAGs and scheduler health

MCP server for Amazon MWAA that enables managing Airflow environments, DAGs, runs, task instances, and configurations through natural language, using secure AWS-native API access and read-only by default.

Enables declarative FDTD validation, guarded cloud-task workflows, and normalization of Tidy3D simulation results into metadata and bounded CSV observables, while keeping credentials and cloud-execution privileges isolated.