maestro-workflow-mcp
MCP server for Maestro — exposes 25 workflow skills as tools, prompts, and resources for any MCP-compatible AI client
pinned to #00f9115updated 2 weeks ago
Ask your AI client: “install mcps/maestro-workflow-mcp”.
Requires the metahub MCP server installed in your client. Set up MCP.
mh install mcps/maestro-workflow-mcpmetahub onboarded this repo on the author's behalf.
If you own github.com/sharpdeveye/maestro on GitHub, claim the listing to take over publishing. Your claim preserves the existing eval history and badges; only the curator label is replaced with verified-publisher on your next publish.
Stars
402
Last commit
2 weeks ago
Latest release
published
- #agent-orchestration
- #agents
- #ai
- #ai-agents
- #ai-workflows
- #claude-code
- #codex
- #copilot
- #cursor
- #developer-tools
- #gemini
- #maestro
- #mcp
- #model-context-protocol
- #open-source
- #prompt-engineering
- #skills
- #workflow
What this server exposes
Surfaces parsed from this server's source at publish time.
Launches: maestro-workflow-mcp
Evaluation report
WarningsAutomated checks the publisher passed at publish time — structure, docs, safety, and whether the artifact behaves as claimed.00f9115· 2 weeks ago
Safety
21Dependencies: known vulnerabilitieswarn
3 high/critical advisories — @modelcontextprotocol/[email protected] (HIGH: GHSA-345p-7cg4-v4c7) · @modelcontextprotocol/[email protected] (HIGH: GHSA-8r9q-7v3j-jr4g) (+1)
Update the affected packages, then re-publish. (`npm audit` shows the same data locally.)
LICENSE file at repo root
LICENSE
No sensitive files in the repo
scanned for .env, credentials.json, *.pem, .ssh/, AWS / GCP configs — none found
Release history
1- releasecurrent00f9115warn2 weeks ago
Contents
Installation
Local (stdio)
Add to your MCP client configuration:
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"maestro": {
"command": "npx",
"args": ["-y", "maestro-workflow-mcp"]
}
}
}
Cursor (.cursor/mcp.json):
{
"mcpServers": {
"maestro": {
"command": "npx",
"args": ["-y", "maestro-workflow-mcp"]
}
}
}
VS Code / Antigravity (.vscode/mcp.json):
{
"servers": {
"maestro": {
"type": "stdio",
"command": "npx",
"args": ["-y", "maestro-workflow-mcp"]
}
}
}
Remote (HTTP)
Start as a public HTTP endpoint:
npx maestro-workflow-mcp --http --port 3001
Clients connect to http://your-server:3001/mcp. Health check at /health.
API Reference
Tools
| Tool | Description |
|---|---|
maestro_list_commands | List all 25 commands grouped by category |
maestro_run_command | Get full instructions for a specific command |
maestro_read_context | Read .maestro/context.md or .maestro.md from a project |
maestro_init | Generate a .maestro.md template |
maestro_wave_start | Start a multi-phase wave execution |
maestro_wave_advance | Advance a wave by submitting phase output |
maestro_wave_status | Get current wave progress |
maestro_write_decision | Append a decision to .maestro/decisions.jsonl |
maestro_read_decisions | Read recent decisions from the log |
maestro_read_audit | Read audit trail with duration and cost |
Prompts
25 prompt templates — one per command. Select from your client's prompt picker:
diagnose · evaluate · reflect · refine · streamline · calibrate · fortify · zero-defect · amplify · compose · enrich · accelerate · chain · guard · iterate · temper · turbocharge · extract-pattern · adapt-workflow · onboard-agent · specialize · teach-maestro · capture · recap
Resources
| URI | Content |
|---|---|
maestro://skill/agent-workflow | Core workflow design principles |
maestro://reference/prompt-engineering | Prompt structure, CoT, few-shot |
maestro://reference/context-management | Window optimization, state |
maestro://reference/tool-orchestration | Tool design, error handling |
maestro://reference/agent-architecture | Multi-agent topologies |
maestro://reference/feedback-loops | Evaluation, self-correction |
maestro://reference/knowledge-systems | RAG, embeddings |
maestro://reference/guardrails-safety | Validation, cost controls |
License
MIT — see LICENSE.
Reviews
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mh install mcps/maestro-workflow-mcp