← orchestratemcp.dev
INDIVIDUAL MCP TOOL
validate_playbook_candidate
Deterministic, read-only gate for the playbook factory.
Input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent endpoint
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.orchestratemcp-dev]
url = "https://mcp.orchestratemcp.dev/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"orchestratemcp-dev": {
"type": "http",
"url": "https://mcp.orchestratemcp.dev/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: orchestratemcp-dev
Remote MCP URL: https://mcp.orchestratemcp.dev/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"orchestratemcp-dev": {
"url": "https://mcp.orchestratemcp.dev/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"orchestratemcp-dev": {
"type": "http",
"url": "https://mcp.orchestratemcp.dev/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "orchestratemcp-dev",
"transport": "streamable-http",
"url": "https://mcp.orchestratemcp.dev/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
list_graph_components— Lists published workflow graph components.get_graph_component— Returns full details for a single workflow graph component by id.list_graph_edges— Lists workflow graph edges (relations between components).get_graph_edge— Returns full details for a single workflow graph edge by id.get_stack_recommendation— Returns the recommended technology stack for an AI workflow, with opinionated defaults and when-to-upgrade guidance.list_known_routes— Lists all known golden-path workflow routes in the registry.get_route— Returns full details for a single golden-path workflow route by id.compose_workflow_route— Proposes a candidate AI workflow route by matching your goal to graph components, adding required dependencies and safety gates, ordering steps, and scoring the result.