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mcp-server-python

Connector Development Usable

Python MCP Server for Kestra — you can use it as a tool in Kestra's AI Agents

26 starsApache-2.0 (commercial OK)FreeNo code needed
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Enables Claude to execute and orchestrate Python code directly within Kestra workflows, eliminating context-switching between AI agents and task automation platforms.

Teams running Kestra workflows who want Claude to dynamically generate, test, and execute Python scripts as part of AI-driven automation.

Claude Code Claude Cowork Claude Chat

https://github.com/kestra-io/mcp-server-python

By kestra-io

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
claude mcp add mcp-server-python -- npx -y mcp-server-python

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars26Last updated2026-05-04LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse Active

Discussed on Hacker News, Reddit

13 mentions across 2 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 26 GitHub stars; contributors unknown; last commit 16d ago; license Apache-2.0.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.75 / 5.00 UsableEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 26 GitHub stars; contributors unknown; last commit 16d ago; license Apache-2.0.

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