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zkorczyc

hcp-engagement

by zkorczyc

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
MCP_API_KEYNoAPI key to protect the HTTP endpoint. Always set for public deployments.
SUPABASE_URLYesThe URL of your Supabase project. Reuse the same value as the Frescopa .env.
SUPABASE_ANON_KEYYesThe anon (read-only) key for your Supabase project. Reuse the same value as the Frescopa .env.

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
hcp_list_hcpsA

List Healthcare Professionals (HCPs). Filter by specialty, tier (A|B|C), region, or state. Mock data — not real providers.

hcp_searchA

Search HCPs by name, NPI, or institution (partial match).

hcp_get_profileA

Full profile for one HCP by NPI: demographics, consent status per channel, and engagement summary.

hcp_list_interactionsA

List rep-HCP interactions (visits, calls, emails). Filter by HCP NPI, region, specialty, rep name, interaction type, or how many days back.

hcp_engagement_summaryA

Analytics: total interactions, recency, sentiment score, and samples per HCP. Sorted by most interactions first. Useful for finding engagement gaps (e.g. Tier A HCPs with no recent contact).

hcp_prescribing_trendsA

Monthly prescribing trend (new Rx, total Rx, market share %) for an HCP, optionally scoped to one product. Requires npi.

hcp_prescribing_trend_by_segmentA

Quarterly prescribing trend for one product, broken out by region and specialty (segment_rollup), plus per-HCP quarterly rows (hcp_quarterly) for drill-down into which specific HCPs are declining/growing. Use segment_rollup to compare regions/specialties side by side; use hcp_quarterly to find individual decliners within a flagged segment.

hcp_visit_frequency_by_segmentB

Quarterly rep interaction/visit frequency broken out by region and specialty — meant to be compared side by side with hcp_prescribing_trend_by_segment's segment_rollup for the same quarters.

hcp_rep_activityB

Per-rep territory summary: HCPs engaged, total interactions, interactions in last 30 days, average sentiment.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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