ZBS Index What actually exists in applied AI, with the source next to it

mcp server

GPH Intelligence - Healthcare Vendor Finder

Find 76,000+ curated healthcare service vendors across 25 categories and all 50 US states.

Description as published by the maintainer. Source

  • version 1.1.1
  • active

active — Most recent push to the repository was 2026-08-01.

What this server can do

4 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

get_provider_detail(slug)
Get the full profile of one healthcare vendor by slug. Use this after match_practice or search_providers when the user asks to "tell me more about [vendor]", "what services does [vendor] offer", "is [vendor] verified", or wants contact info, services, reviews, or listing tier for a specific provider. Returns company_name, category (plus super_category grouping), description, services_tags (comma-delimited services offered), website, phone, city/state, quality_score (0-100), verified status, listing tier (free/paid), practice_size_fit, and reviews (review_count, average_rating). Slug comes from match_practice or search_providers results; returns an error if the slug is unknown. Required: slug.
list_categories
List every service category in the GPH vendor directory with its live provider count. Call this FIRST when you do not already know which category fits the user's need, when a category search returned nothing, or when the user asks what kinds of vendors are available. Returns all 25 categories with {category, slug, providers}. The category names returned here are the exact values match_practice and search_providers expect (common aliases also resolve). Takes no arguments.
match_practice(city, state, category, specialty, ehr_system, budget_range, practice_size)
Recommend and rank the best healthcare vendors for a specific medical practice. Use this when a practice manager, physician, or administrator asks for a recommendation, e.g. "recommend a medical billing / RCM company for my practice", "who should I use for credentialing / payer enrollment", "find an EHR for my small [specialty] practice", or "which practice-management software fits a [size] practice in [city, state]". Scores and ranks providers against the practice profile (specialty, size, location, EHR system, budget) and returns up to 5 merit-ranked matches (quality-scored, no paid placement) with {company_name, category, city, state_abbr, quality_score (0-100), final_score (0-100), verified status, description, website, profile_url, slug}. For open-ended browsing without a practice profile, use search_providers. Pass a match's slug to get_provider_detail for the full profile. Required: category, state.
search_providers(city, page, state, category, per_page, min_rating, tier1_grade, practice_size_fit)
Browse and filter the healthcare vendor directory. Use this for open-ended exploration, e.g. "show me medical billing companies in Texas", "list credentialing services", "what EHR vendors are there for cardiology", or when the user wants to page through options rather than get a scored shortlist. Paginated results filtered by category, location, minimum quality score, curated Tier-1 grade, and practice-size fit; returns a page of providers with {company_name, category, city, state_abbr, quality_score (0-100), verified status, contact info, slug}. For a scored recommendation to a specific practice profile, use match_practice instead. Pass a returned slug to get_provider_detail for the full profile. Required: category.

Last successful function declaration observed on . Source: https://gph-mcp-server.pages.dev/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://gph-mcp-server.pages.dev/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 0 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-08-01 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 0 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 1.1.1 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-06-18 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License MIT Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-06-18 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub
mcp tools declared 4 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe gph-mcp-server.pages.dev
mcp endpoint status ok The server listed 4 functions when asked. as of probe gph-mcp-server.pages.dev

Where to get it

Also from crindo2

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. Crindo2/gph-mcp-server on GitHub — GitHub, observed , trust tier 3.
  2. Tools declared by the MCP server at https://gph-mcp-server.pages.dev/mcp — gph-mcp-server.pages.dev, observed , trust tier 1.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.