General Tools
medicalclaim.ai
Looks up Medicare Local Coverage Article coverage determinations for CPT/HCPCS and ICD-10 codes and reports the CMS Physician Fee Schedule professional amount when available.
ENDPOINT 1
https://medicalclaim.ai/mcp
MCP server metadata
- Name
- builtforai-medicalclaim
- Version
- 1.0.0
Known tools 1
medicare_procedure_coverageFor a diagnosis and one or more CPT/HCPCS codes, report what CMS Local Coverage Articles record for each code, which ICD-10 diagnoses those articles list as covered or non-covered, and the CMS Physician Fee Schedule PROFESSIONAL amount where a national rate exists.
Inferred read-onlyCONNECT 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.builtforai-medicalclaim]
url = "https://medicalclaim.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"builtforai-medicalclaim": {
"type": "http",
"url": "https://medicalclaim.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: builtforai-medicalclaim
Remote MCP URL: https://medicalclaim.ai/mcp
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": {
"builtforai-medicalclaim": {
"url": "https://medicalclaim.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"builtforai-medicalclaim": {
"type": "http",
"url": "https://medicalclaim.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "builtforai-medicalclaim",
"transport": "streamable-http",
"url": "https://medicalclaim.ai/mcp"
}
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.