porter.run valid
Porter
Porter is a platform as a service (PaaS) that runs applications in your own AWS, GCP, or Azure account while managing the underlying infrastructure.
For agents: Porter is a PaaS running apps in your own AWS, GCP or Azure account, with a remote MCP server, CLI and documentation for agents to deploy and operate.
paaskubernetes deploymentmcp serveraws gcp azureporter cli
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T11:50:16.011Z. Cached copy · Source on porter.run
# Porter
> Porter is a platform as a service (PaaS) that runs applications in your own AWS, GCP, or Azure account while managing the underlying infrastructure.
## Documentation
- [Agent index](https://docs.porter.run/llms.txt): Full documentation index and agent instructions for operating Porter applications and clusters.
## Agent tooling
Install the Porter CLI, register Porter's MCP server with the agent clients on this machine, and install Porter's skills:
`curl -fsSL https://agents.porter.run | sh`
Restart the agent client afterward.
Related sites
Find similar publishers by meaning →
Other listed sites in AI and machine learning. See the whole category →
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| sourcey.com | Sourcey | interface AI and machine learning AI agents and MCP | — | 70 | ✓ | ✓ | |
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | — | 61 | ✓ | ||
| intellweb.ai | Intellweb | documentation Ecommerce Productivity +3 | US | 61 | ✓ | ✓ | |
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface AI and machine learning Cybersecurity +1 | — | 85 | ✓ | ✓ | |
| adobe.com | Adobe Tools | transactional AI and machine learning Design +1 | FR | 75 | ✓ | ||
| taboola.com | Taboola.com | documentation AI and machine learning Marketing | — | 75 | ✓ | ✓ | |
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ |
Machine-readable: GET /v1/resolve?q=porter.run · GET /v1/domain/porter.run · this page as Accept: application/json or text/markdown · MCP lookup_domain
Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.
Own or manage this website?
If you own or manage porter.run, you can update its listing and review file health, discovery activity and score history.
Manage this listing — optional
What verification unlocks
See how your site is discovered—and control what agents see.
- Control what agents see
Edit your listing description, tags, public contact details and additional llms.txt paths. Publish your terms for automated access, attribution and pricing.
- Make your profile eligible for search
A valid, listed, unblocked, verified profile can appear in our publisher sitemap and become eligible for search-engine visibility. Search engines decide what to index and rank.
- Appear in our llms-full.txt
Eligible verified publishers are listed by name, with their file links and summaries, in the service overview agents can read.
Free. No account registration, backlink or payment required. Public discovery remains available without verification.
Let your coding agent verify it
If your coding agent is authorized to manage this website, paste these instructions into it.
Claim my listing on Agent Web Map for porter.run:
1. POST https://agentwebmap.com/v1/sites/porter.run/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://porter.run/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/porter.run/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/porter.run).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verifyCorrections or removal requests: contact the directory.