Kestra
This Kestra MCP server by kestra-io provides AI assistants with comprehensive workflow orchestration capabilities through the Kestra platform, enabling natural language interaction with data pipelines, microservices, and automation workflows. The implementation exposes extensive functionality including flow creation and management, execution control (start, pause, resume, restart, replay), namespace and file operations, KV store management, backfill operations, and enterprise features like user management and worker groups. Built with Python using FastMCP and httpx, it includes both Google ADK and OpenAI agent integrations, AI-powered code generation using Gemini models, and Docker containerization, making it valuable for data engineers and DevOps teams who need to manage complex orchestration workflows through conversational interfaces without directly accessing the Kestra UI.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/kestra-io/mcp-server-python
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Kestra from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.