Auth proxy that forwards MCP tool calls to a remote NordStellar MCP server
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Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"nordstellar-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
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# NordLayer Intelligence by NordStellar MCP Connect any MCP-compatible AI assistant to [NordLayer Intelligence](https://nordlayer.com/intelligence/) via the NordStellar MCP so you can detect external exposure, prioritize risks, and act — directly from chat. NordLayer Intelligence gives you real-time visibility into your external attack surface and threat landscape: exposed assets, leaked credentials, brand impersonations, dark web mentions, and malware infections. ## What you can detect Ask your AI assistant about the same risk areas covered by [NordLayer Intelligence](https://nordlayer.com/intelligence/): - **External vulnerabilities** — open ports, forgotten subdomains, exposed admin panels, public config files and backups, and other attack-surface findings - **Compromised identities** — stolen credentials, active session cookies, and autofill data that could enable account takeover - **Exposed sensitive data** — dark web and criminal-forum mentions of company files, customer records, and other sensitive information - **Brand impersonation** — fake domains, look-alike brand abuse, and related squatting activity - **Malware infections** — devices where information-stealing malware has captured company data ## What you get - Natural-language access to your NordLayer Intelligence data through NordStellar MCP - No need to switch to the UI or write GraphQL by hand - Secure login via your NordStellar account ## Setup ### 1. Add to your MCP client Add the NordStellar MCP server to your AI assistant’s MCP configuration (e.g. `mcp.json` or the equivalent in your client): ```json { "nordstellar-mcp": { "command": "uvx", "args": [ "nordstellar-mcp", "https://platform-mcp.nordstellar.com/mcp" ] } } ``` `uvx` pulls the [`nordstellar-mcp`](https://pypi.org/project/nordstellar-mcp/) package from PyPI. To pin a version, use e.g. `"--from", "nordstellar-mcp==0.1.6"` before the tool name in `args`. To run the same from a shell: ```bash uvx…
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