General Tools
apellica.com
An MCP server that helps US health-insurance members decode denial reasons, estimate appeal deadlines, find state regulators, and access insurer denial statistics to start an appeal.
ENDPOINT 1
https://apellica.com/api/mcp
MCP server metadata
- Name
- apellica-denial-checker
- Version
- 1.0.0
Apellica denial checker. Use decode_denial_reason for the wording on a denial letter, appeal_deadline for filing windows, state_appeal_directory for the regulator, and how_to_start_an_appeal when the person wants Apellica to prepare and file the appeal. Never ask for or pass names, member IDs, dates of birth, or medical history. Always tell the user the deadline on their letter controls.
Known tools 7
decode_denial_reasonExplain a phrase from a US health-insurance denial letter (for example 'not medically necessary', 'experimental', 'prior authorization required', 'step therapy', 'formulary exclusion').
Inferred read-onlyappeal_deadlineEstimate the internal-appeal filing deadline and the external-review window for a US health-insurance denial from the denial date and the plan type.
Inferred read-onlystate_appeal_directoryFor a US state, return the insurance regulator that handles consumer complaints and external review requests, its website, and a summary of that state's external-review process.
Inferred read-onlyhow_to_start_an_appealReturn what Apellica does, what it costs, what a person needs to have ready, and the link and phone number to start a free denial review.
Inferred read-onlyinsurer_denial_statsFor a US health insurer selling on HealthCare.gov, return the in-network claim denial rate, internal-appeal overturn rate and external-review outcomes it reported to CMS (Transparency in Coverage public use file), with counts, the state median for context, and caveats (two-year lag, in-network only, includes administrative denials).
Inferred read-onlyplan_funding_lookupLook up a US employer's health plan in the Department of Labor's public Form 5500 filings and say whether the medical benefit is self-funded (federal ERISA rules, federal external review, state insurance law generally does not apply) or insured (state rules and state external review apply), with the plan administrator's address for a claim-file request and the carriers on file.
Inferred read-onlyexternal_review_outcomesFrom every California Independent Medical Review decision since 2001 (public DMHC data): the share of denials for a treatment (and optionally a diagnosis category) that independent reviewers overturned, with N, years, what the reviewers' findings mention in overturned cases, and the page URL.
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.apellica-denial-checker]
url = "https://apellica.com/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"apellica-denial-checker": {
"type": "http",
"url": "https://apellica.com/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: apellica-denial-checker
Remote MCP URL: https://apellica.com/api/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": {
"apellica-denial-checker": {
"url": "https://apellica.com/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"apellica-denial-checker": {
"type": "http",
"url": "https://apellica.com/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "apellica-denial-checker",
"transport": "streamable-http",
"url": "https://apellica.com/api/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.