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MCP servers and skills: search, filter by where they run, and compare.
1–24 of 125 tools for “dag”
Clear allairflow-mcptreerootboy
LocalPythonMITFew starsNo key
dag-studio-webmcpBlack-Swan-Causal-Labs
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MCP servers and skills: search, filter by where they run, and compare.
1–24 of 125 tools for “dag”
Clear allPythonMITFew starsNo key
Human-AI causal DAG workspace for the OpenAI 2026 WebMCP Challenge
Hosted by authorApache-2.0Few starsNo key
Use when a user describes a custom PAIDF Orchestration pipeline — a specific ordered combination of stages such as augmentation only, auto-labeling only, detection+captioning only, or image attribute
OfficialSkillCC-BY-4.0 AND Apache-2.0★ 3.6k in collectionNo key
Provides guidance for troubleshooting Apache Airflow DAGs (failed DAG runs and task instances) in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Use when figuring out reasons for
OfficialSkillApache-2.0★ 21k in collectionNo key
PythonMIT★ 178No key
Run the PAIDF Orchestration Image Attribute Augmentation DAG on Kubernetes - person-crop clothing augmentation, attribute search, and augmented dataset generation. Select for requests about image attr
OfficialSkillCC-BY-4.0 AND Apache-2.0★ 3.6k in collectionNo key
MCP server for the DAG Studio causal-inference engine: backdoor analysis, adjustment sets, bias simulation, effect-modification classification. Validated against dagitty.
Hosted by authorApache-2.0Few starsNo key
Run the PAIDF Orchestration Event Video Generation DAG on Kubernetes - image-to-video anomaly generation, auto-labeling, and anomaly dataset generation. Select for requests about event video generatio
OfficialSkillCC-BY-4.0 AND Apache-2.0★ 3.6k in collectionNo key
Provides guidance for authoring Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Covers environment context discovery, Airflow 2 vs 3 compatibility, authoring
OfficialSkillApache-2.0★ 21k in collectionNo key
Zero-cost, crash-proof LLM pipeline orchestrator. Features disk-based checkpointing, free-tier routing, and structured output. (LangGraph / CrewAI alternative)
PythonMIT★ 3Few starsNo key
Provides guidance for migrating Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Covers migration to Airflow 2.11.1 (MSAA Gen 2 and 3) and Airflow 3 (MSAA Gen
OfficialSkillApache-2.0★ 21k in collectionNo key
Visual DAG agent workflow tool chainer & state checkpointer (Dify / Flowise style)
SkillLink only★ 9
Autonomous multi-stage prompt-to-DAG planner resolving dependency topologies
SkillLink only★ 8
Visual flow node-graph to executable Python DAG workflow generator
SkillLink only★ 9
Modular node-graph DAG executor for latent image & video workflows (ComfyUI style)
SkillLink only★ 9
The orchestration layer under your coding agent. Turns work into a typed graph, runs one model per node, and takes the verdict from outside the model — exit codes, write-set checks, and a cross-family
Node.jsMIT★ 43No key
🧠 Local-first LLM state branching & debugging. Capture, visualize, branch, and regression-test LLM calls as a DAG. Free & local via Ollama, any OpenAI-compatible API, MCP for agents. Zero config.
Node.jsMIT★ 3Few starsNo key
MCP server for LLM-assisted conversion of Apache Airflow DAGs to Prefect flows
PythonMIT★ 9No key
🚀 High-performance AI Agent Control Plane, Task Orchestration & Model Context Protocol (MCP) Platform
PythonApache-2.0★ 180No key
Lightweight, local-first Python DAG workflow compiler and execution engine with human-in-the-loop checkpoints for CLI and AI-agent workflows.
OfficialPythonApache-2.0★ 14No key
Plan, configure, and chain repo-native Nemotron customization steps into single-step or multi-step pipelines: curation, translation, SFT/PEFT (AutoModel or Megatron-Bridge), pretraining/CPT, RL alignm
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Durable MCP server for delegating background coding tasks to local OMP workers with DAG orchestration, path ownership isolation, and structured result inspection.
Node.jsMIT★ 2Few starsNo key
CLI tool for structured software specs. Validate .dog files, compile .dag graphs, query via MCP.
Node.jsMIT★ 7No key
⚡ Control Apache Airflow with natural language via MCP. Chat with your workflows using Claude, GPT, or any LLM — no REST API calls needed. Supports Airflow 2.x (43 tools) & 3.0+ (45+ tools).
PythonMIT★ 52No key
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