1. Add the connector once
In ChatGPT settings, create a custom connector pointing at the Alpha Sophia MCP server and sign in with your Alpha Sophia account — OAuth, no API key to paste. ChatGPT is now connected to your licensed data backbone.
Connect ChatGPT to Alpha Sophia — the leading commercial healthcare intelligence platform — with a custom MCP connector. Answer targeting, KOL, and market-sizing questions, and run Deep Research, on real, current, sourced US provider data. No plugin to build, no hallucinated names and numbers.
Official Alpha Sophia connector for ChatGPT
3,114 Midwest nephrologists actively managing dialysis patients (last 12 months). Top targets by patient volume:
Pulled from current, real-world data — sourced and safe to act on.
Illustrative example of a connector-powered answer in ChatGPT.
Prefer Claude or Cursor? Get the Claude plugin or the Cursor plugin, or see all the ways to connect AI agents to Alpha Sophia over MCP.
ChatGPT is brilliant at language — but on its own it can't see your market. The connector closes the gaps that make raw AI risky for commercial and medical decisions.
A training cutoff means ChatGPT can't see current procedure volumes, prescribing, affiliations, or who's publishing now.
Left alone, the model invents provider names and numbers you have no way to verify — too risky to build strategy on.
Claims, NPI, and payments data are licensed and siloed — not on the open web a general model was trained on.
Browsing surfaces articles, not a structured, all-payor view of every provider and site of care ranked by real volume.
Trials, practice moves, and KOL influence change every quarter — last year's snapshot is already stale.
HIPAA, the Sunshine Act, and MLR review demand outputs you can audit and defend — not a black box.
The fix: a vetted connector that gives ChatGPT real, current, sourced data.
Same question. The connector is the difference between a hedged guess and a ranked, sourced answer you can act on.
"Who are the top nephrologists in the Midwest for our dialysis-related launch?"
"I can't give a reliable name-level ranking — I have no live provider data and a training cutoff. I can describe large nephrology centers directionally, but you'd need your own data to rank individuals."
3,114 Midwest nephrologists actively managing dialysis patients (last 12 months). Top targets by patient volume, ranked and affiliation-linked.
"Write a market brief sizing this therapy area by state, with sites of care."
Produces a well-written brief — but the figures are estimates or stitched from whatever public articles it found, with no consistent, current source behind the numbers.
A Deep Research brief where every market size, provider count, and site-of-care figure is pulled live from Alpha Sophia and laid out by state — sourced and reproducible.
Illustrative examples based on Alpha Sophia data.
The connector gives ChatGPT the Alpha Sophia tools over MCP, so it queries the platform the same disciplined way our in-app assistant does — in normal chats and in Deep Research.
In ChatGPT settings, create a custom connector pointing at the Alpha Sophia MCP server and sign in with your Alpha Sophia account — OAuth, no API key to paste. ChatGPT is now connected to your licensed data backbone.
No filter-building, no query language. Enable the connector in your chat and ask the way you'd ask a colleague — "how many", "find and rank", "how big is the market" — and ChatGPT figures out which Alpha Sophia tools to call.
Behind the scenes, ChatGPT resolves your terms (a specialty, a drug, a condition, a city) to canonical IDs, builds a structured filter, and runs it against Alpha Sophia — the same parse, build, execute pipeline as the app. Numbers come from data, not memory.
A ranked target list, a market-size number by state, a KOL shortlist, or a full Deep Research brief — with the filters ChatGPT applied stated in plain English so you can trust and refine it, then take it into Alpha Sophia to export or sync to your CRM.
ChatGPT Deep Research is great at structuring a report — but its value depends on its sources. Add Alpha Sophia as a source and the numbers come from all-payor claims, not the open web.
"Size this therapy area by state with provider counts, procedure volumes, and sites of care, sourced throughout."
"Map the KOL landscape for our indication — top authors and investigators with affiliations and recent output."
"Draft a territory plan ranking accounts by the procedure volume of their affiliated providers."
The same data backbone powers every role — so each team moves from days of research to minutes of answers.
Needs: HCP volumes & affiliations
Needs: Geographic & procedure trends
Needs: Sites of care by geography
Needs: Publications, trials & KOLs
Needs: Deep Research & sizing
Needs: Clean, exportable lists
Every Alpha Sophia entity is available to the connector — the same data that powers the web app, scoped to your organization.
A custom connector takes a couple of minutes to set up. Your organization needs an Alpha Sophia subscription with the API and Agent modules enabled, and a ChatGPT plan that supports custom connectors.
In ChatGPT on the web, go to Settings → Apps & Connectors → Advanced settings and turn on Developer mode (where your workspace allows it).
Choose Create under Connectors, name it "Alpha Sophia", and paste the MCP server URL:
https://api.alphasophia.com/v1/mcp Select OAuth and sign in with your Alpha Sophia account. ChatGPT lists the available tools, all scoped to your organization — no API key to paste.
Turn on the Alpha Sophia connector from the tools menu, then ask away — or pick it as a source in Deep Research for sourced reports.
No API key. ChatGPT prompts you to sign in with your Alpha Sophia account and approve access.
Every answer is drawn from your licensed data and metered against your agent token balance.
The connector uses the same pipeline as the Alpha Sophia web app, so answers stay consistent.
Not sure if your plan supports custom connectors? Talk to our team.
Same data backbone — every role moves from days of research to minutes of answers, in the assistant they already use.
Highest-volume targets for the quarter, with affiliations and contacts.
Which metros over-index for a procedure — so you know where to spend.
How many sites of care perform a procedure, and exactly where they are.
Who's publishing and running trials on your topic right now.
Deep Research briefs and market sizing by therapy and geography.
Clean, exportable target lists with volumes and affiliations.
Access is authenticated per user and scoped to your organization, under the same enterprise-grade controls trusted by 100+ life science customers. Because answers are sourced from Alpha Sophia rather than the model's memory, they're traceable and auditable. As with any AI in a regulated setting, keep a human in the loop before outputs inform irreversible actions or regulated content.
It's a custom connector that links ChatGPT to Alpha Sophia — the leading commercial healthcare intelligence platform — over MCP (Model Context Protocol). Once added, ChatGPT can answer targeting, KOL, and market-sizing questions using real, current, sourced US healthcare provider data instead of guessing from its training data. There's no plugin to build or install: you register the Alpha Sophia MCP server as a connector and sign in, and ChatGPT can use it in normal chats and in Deep Research.
Same Alpha Sophia data and expertise, a different way in. Claude and Cursor support full plugins that bundle our MCP server with a playbook; ChatGPT instead uses its native connector feature, where you point ChatGPT at our MCP server URL. The result is the same — ChatGPT retrieves real provider data over MCP — it's just registered as a connector rather than packaged as a plugin. Use whichever assistant your team already lives in.
Custom MCP connectors are available on ChatGPT Plus, Pro, Business, Enterprise, and Education plans on the web (via Developer mode under Apps & Connectors). Because Alpha Sophia's tools are read-only data retrieval — search, count, market sizing, entity resolution — they work within the read-only connector capability available across these plans. Business, Enterprise, and Education workspaces can manage connectors centrally with admin controls.
In ChatGPT on the web, go to Settings → Apps & Connectors → Advanced settings and enable Developer mode (if your workspace allows it). Then choose Create / Add custom connector, give it a name like "Alpha Sophia", paste the MCP server URL https://api.alphasophia.com/v1/mcp, and select OAuth for authentication. ChatGPT will list the available tools; sign in with your Alpha Sophia account, then enable the connector from the tools menu in a chat. Our team can walk you through it.
MCP (Model Context Protocol) is the open standard ChatGPT uses to call external tools and data through connectors. The Alpha Sophia MCP server exposes tools like resolve_entity, plus search / count / market_size for providers and sites of care, and search / count for clinical trials, investigators, publications, and authors. When you ask a question, ChatGPT resolves your terms to canonical IDs, builds a structured filter, and runs it against Alpha Sophia — no raw SQL, no hallucinated NPIs.
Yes. Once the connector is enabled, you can select it as a source for Deep Research, so ChatGPT grounds its multi-step research reports in real Alpha Sophia data — current provider volumes, sites of care, KOLs, and market sizes — alongside its other reasoning. You get a structured, sourced report instead of a summary of whatever was on the open web.
Yes. Every figure comes from Alpha Sophia rather than the model's memory, so the providers, NPIs, volumes, and market sizes ChatGPT reports are real, current, and traceable to the underlying records — defensible enough to build commercial strategy on.
Access is authenticated per user and scoped to your organization, under the same enterprise-grade controls trusted by 100+ life science customers. Your org needs an active Alpha Sophia subscription with the API and Agent modules enabled. As with any AI workflow in a regulated environment, review outputs before they inform irreversible actions or regulated content.
Make informed connections with the most suitable healthcare providers for your product.