stageflow-mcp
PulseGate's liveness check found it on 30 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 30 Sep 2026. How this is checked
Stageflow-mcp exposes StageFlow pipeline authoring, checking, and execution through the Model Context Protocol. It is an MIT-licensed Python package for developers connecting AI agents to a StageFlow backend.
Inferred · not functionally tested
Overview
5 featuresPurpose: Giving AI agents a controlled way to create, validate, and execute StageFlow pipelines.
Inferred · not functionally tested
Audience: developers building AI agents and workflow automation systems
Inferred · not functionally tested
Functions: agents, workflow_automation
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, api_only, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
In the Frameworks & runtimes space, stageflow-mcp takes a focused approach. Inferred · not functionally tested: It focuses on giving AI agents a controlled way to create, validate, and execute StageFlow pipelines. Inferred · not functionally tested: It is built as an open-source project for developers building AI agents and workflow automation systems. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It ships for the command line and API, and it can be self-hosted.
Behind stageflow-mcp is Leo Need More Coffee, and it first shipped in 2026. Development happens publicly on GitHub with 10 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are pipeline authoring, pipeline validation, and pipeline execution. Inferred · not functionally tested: Catalogued interfaces include an MCP server.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Pipeline authoring
- Pipeline validation
- Pipeline execution
- MCP server
- StageFlow backend
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
4What PulseGate has recorded for this listing
- Indexed30 Sep · 16:02 UTCstageflow-mcp seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about stageflow-mcp
- What does stageflow-mcp do?
- Inferred · not functionally tested: Stageflow-mcp focuses on giving AI agents a controlled way to create, validate, and execute StageFlow pipelines. It is catalogued under Frameworks & runtimes on PulseGate.
- Who is stageflow-mcp for?
- Inferred · not functionally tested: stageflow-mcp is an open-source project built for developers building AI agents and workflow automation systems.
- Does stageflow-mcp have a free plan?
- Basis unknown · not verified: Yes — stageflow-mcp is open source under the MIT license and free to use.
- What platforms does stageflow-mcp run on?
- Basis unknown · not verified: stageflow-mcp runs on the command line and API. It can also be self-hosted.
- Is stageflow-mcp still maintained?
- PulseGate's liveness check found it on 30 Sep 2026. Its GitHub repository shows 10 commits in the last 90 days.
- Who makes stageflow-mcp?
- stageflow-mcp is developed by Leo Need More Coffee.
- When did stageflow-mcp launch?
- stageflow-mcp first shipped in 2026.
- Is stageflow-mcp open source?
- Basis unknown · not verified: Yes — stageflow-mcp is open source under the MIT license, developed on GitHub.
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