Syntitan MCP is answering right now. Last checked 7 min ago. Last commit 6 Jul 2026.
AI-Ready Data Platform that fills the missing layer between data management and AI execution.
Today is the operative word: we check Syntitan MCP every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.
claude mcp add syntitan-mcp --transport http https://mcp.syntitan.ai/mcp
https://mcp.syntitan.ai/mcp
[mcp_servers.syntitan-mcp]
url = "https://mcp.syntitan.ai/mcp"
{
"mcpServers": {
"syntitan-mcp": {
"url": "https://mcp.syntitan.ai/mcp"
}
}
}
{
"servers": {
"syntitan-mcp": {
"type": "http",
"url": "https://mcp.syntitan.ai/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://mcp.syntitan.ai/mcp | streamable-http | sign-in | 119 ms | 7 min ago |
Secure permission layer between AI agents and your .env files
AI marketing skills for e-commerce brands: reports, campaign management, and creative generation.
MCP server for the Inistate platform: module discovery, entry management, and activity submission.
Record and replay AI agent execution for debugging
Tailor Platform for AI assistants: search, list and read the platform documentation.
Sling CLI MCP server for data pipeline and replication management
MCP enforcement layer that intercepts AI agent actions and blocks rule violations before execution.
A powerful MCP server for AI-driven Jupyter Notebook management and execution
Answers built from our own checks of this server.