API Tools
moldremovalofchattanooga.com
Facilitates requesting a free mold inspection by collecting homeowner contact details and forwarding them to a local insured professional.
ENDPOINT 1
https://moldremovalofchattanooga.com
MCP server metadata
- Name
- WebMCP
Known tools 1
requestFreeInspectionRequest a free mold inspection for a home in the Chattanooga, TN area — visible mold, musty odors, crawl space mold, black mold worries, or moisture after a leak. Submitting shares the homeowner's contact details with one insured local mold professional who will call or email to schedule the free, no-obligation inspection. Only use this with the homeowner's consent to be contacted.
Potential side effectsCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.webmcp]
url = "https://moldremovalofchattanooga.com"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"webmcp": {
"type": "http",
"url": "https://moldremovalofchattanooga.com"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: webmcp
Remote MCP URL: https://moldremovalofchattanooga.com
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"webmcp": {
"url": "https://moldremovalofchattanooga.com"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"webmcp": {
"type": "http",
"url": "https://moldremovalofchattanooga.com"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "webmcp",
"transport": "streamable-http",
"url": "https://moldremovalofchattanooga.com"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.