Individual skill
host-and-share-remote-tool
Host, validate, and privately share a user's own model, Python function, workflow, or existing Streamable HTTP MCP endpoint through ToolUniverse Platform. Use when turning a local CPU/GPU workload or lab endpoint into a stable TU remote tool, diagnosing its setup, or preparing it for controlled sharing.
skills/host-and-share-remote-tool/SKILL.md
Source commit 5598a9fc97e32964fe9b703818e7d0747142f179
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 5, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,777
- Repository last updated
- Nov 7, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agents Repository topic
- reasoning-agent Repository topic
- reasoning-language-models Repository topic
- tool-use Repository topic
- ai-agents Repository topic
- ai-scientists Repository topic
- automated-science Repository topic
- co-pilot Repository topic
- co-scientist Repository topic
- ai-for-science Repository topic
- operations Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
Read excerpt
# Host and share a remote tool
Use this workflow for user-owned code and infrastructure. Keep the workload on the user's computer or lab server; ToolUniverse Platform receives only the MCP tool manifest and relayed calls.
## Choose the shortest path
- Python function, model, database query, or workflow: wrap only the callable with `@remote_tool`, then use `tu serve ... --share`.
- Existing Streamable HTTP MCP server: keep it running on loopback and use `tuplatform-relay --forward ...`.
- One of ToolUniverse's 30 reviewed scientific implementations: use its implementation-specific `setup-<name>-remote-tool` skill and `tu remote share <name>` instead.
Do not treat an arbitrary REST endpoint as MCP. Wrap it in a typed Python function first, or put a reviewed MCP adapter in front of it.
## 1. Install the reviewed clients
