AI agents & MCP
dampsurvey.pro speaks the Model Context Protocol — connect an agent and it can read the site or send an enquiry.
Connect
https://dampsurvey.pro/mcp · JSON-RPC 2.0 over HTTPS (streamable-http) · no key requiredcurl -X POST https://dampsurvey.pro/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'Tools
get_site_overview | Get the structured overview of this business/product (from its llms.txt): what it is, who it is for, and key features. |
list_pages | List the public pages of this site (from its XML sitemap). |
read_page | Fetch a page from this site and return it as Markdown. Argument: url (must be on this site). |
submit_enquiry | Send a contact/support enquiry to this business. Args: name, email, message. Writes to the same support inbox as the website contact form. |
get_contact_and_data_rights | How to contact this business and how to export or delete your personal data (GDPR/UK-GDPR self-service). |
Questions
What is this?
dampsurvey.pro publishes a Model Context Protocol (MCP) server so AI agents and assistants can read the site and take a few safe actions on a visitor's behalf.
How do I connect?
Point any MCP client at https://dampsurvey.pro/mcp — JSON-RPC 2.0 over HTTPS (streamable-http). No API key or registration is required.
What can an agent do here?
get_site_overview, list_pages, read_page, submit_enquiry, get_contact_and_data_rights.
Do agents need to authenticate?
No. The tools are public and read-only, except submit_enquiry, which forwards a contact message. Authenticated actions (exporting or deleting your own account data) happen in-app via Google sign-in.
How do I discover this automatically?
Fetch https://dampsurvey.pro/.well-known/mcp.json (server card), https://dampsurvey.pro/.well-known/agent-skills/index.json (skills), or https://dampsurvey.pro/llms.txt. There is also a DNS-AID record at _index._agents.dampsurvey.pro.