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SlashML (/ ml) Embodied Robotics Trajectory Memory MCP Server

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answering

SlashML (/ ml) Embodied Robotics Trajectory Memory is answering right now. Last checked moments ago. Last commit 9 Nov 2026.

Sub-millisecond 7-DoF trajectory episode memory and kinematic safety gates for robotics.

Uptime history 17 hours of history
17 hours agonow
100.0%
Uptime 24h
63 of 63 checks
—
Tools
hidden behind auth
131 ms
Response time
average over 24h
0
Stars
last commit 9 Nov 2026

Nothing serious here today

Today is the operative word: we check SlashML (/ ml) Embodied Robotics Trajectory Memory every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 0 min ago.

run in your terminal
claude mcp add slashml-robotics --transport http https://api.slashml.ai/robotics/mcp
Settings → Connectors → Add custom connector, then paste this address
https://api.slashml.ai/robotics/mcp
~/.codex/config.toml
[mcp_servers.slashml-robotics]
url = "https://api.slashml.ai/robotics/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "slashml-robotics": {
      "url": "https://api.slashml.ai/robotics/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "slashml-robotics": {
      "type": "http",
      "url": "https://api.slashml.ai/robotics/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.

Endpoints

URLTransportStateLatencyChecked
https://api.slashml.ai/robotics/mcp streamable-http sign-in 125 ms 0 min ago

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SlashML (/ ml) Embodied Robotics Trajectory Memory — questions

Answers built from our own checks of this server.

Why is there no tool list for SlashML (/ ml) Embodied Robotics Trajectory Memory?
The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.
Is SlashML (/ ml) Embodied Robotics Trajectory Memory working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 63 of 63 checks got a reply (100.0%), average response time 131 ms. The bar chart above shows every period we have measured.
How do I connect SlashML (/ ml) Embodied Robotics Trajectory Memory?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.
How do you sign in to SlashML (/ ml) Embodied Robotics Trajectory Memory?
No API key is involved. SlashML (/ ml) Embodied Robotics Trajectory Memory answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.
How fast is SlashML (/ ml) Embodied Robotics Trajectory Memory?
It answers our handshake in 131 ms on average, which is faster than 87% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is SlashML (/ ml) Embodied Robotics Trajectory Memory open source?
We cannot say either way: written in Python and 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.