Orquesta is answering right now. Last checked 13 min ago.
Read a project's prompts, logs and agents, and send new work to the agent on your own machines.
Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 13 min ago.
claude mcp add orquesta --transport http https://getorquesta.com/api/mcp
{
"mcpServers": {
"orquesta": {
"url": "https://getorquesta.com/api/mcp"
}
}
}
[mcp_servers.orquesta]
url = "https://getorquesta.com/api/mcp"
{
"mcpServers": {
"orquesta": {
"url": "https://getorquesta.com/api/mcp"
}
}
}
{
"mcpServers": {
"orquesta": {
"url": "https://getorquesta.com/api/mcp"
}
}
}
This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://getorquesta.com/api/mcp | streamable-http | sign-in | 378 ms | 13 min ago |
Mine your AI coding session logs into a you.md profile with dated receipts, for an agent to read.
Read your Pyunto Time Management schedule and log time from an AI assistant. E2EE project planning.
Shared project wiki for AI agents: read and write pages, next actions, and activity logs over MCP.
Read-only access to your PumpX workout log: sessions, lift history, PRs, routines, measurements.
Check if a repo will deploy, plan a deploy to your own cloud, and see status, logs and redeploys.
Your own SLATE health data in your AI assistant: read, trend, plan and log. Never suggests a dose.
iPhone strength log. Any MCP agent reads your training and plans workouts in the Tally app.
Sendora's docs and API for coding agents: send test mail, read the log, set up webhooks.
Answers built from our own checks of this server.