Wellness Cgm MCP vs Openfda
A side-by-side look at the Wellness Cgm MCP and Openfda MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Wellness Cgm MCP for biology & bioinformatics work as a local process; choose Openfda for biology & bioinformatics as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Wellness Cgm MCP when
- You need dedicated capabilities in the Biology & Bioinformatics domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: OAuth 2.0.
- You have the keys it needs:
CGM_PROVIDER, DEXCOM_ENV, DEXCOM_CLIENT_ID, DEXCOM_CLIENT_SECRET, DEXCOM_REDIRECT_URI, DEXCOM_ACCESS_TOKEN, LIBRELINKUP_EMAIL, LIBRELINKUP_PASSWORD. - You want tools like
cgm_agent_manifest, cgm_capabilities, cgm_connection_status.
Choose Openfda when
- You need dedicated capabilities in the Biology & Bioinformatics domain.
- You prefer a local stdio subprocess transport.
- You want tools like
fda_drug_events, fda_drug_approvals, fda_applications_by_cik.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Biology & Bioinformatics | Biology & Bioinformatics |
| Quality signal | 61/100 · Good | 59/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | OAuth 2.0 | Not declared |
| Pricing | Free | Not declared |
| Required env vars | CGM_PROVIDERDEXCOM_ENVDEXCOM_CLIENT_IDDEXCOM_CLIENT_SECRETDEXCOM_REDIRECT_URIDEXCOM_ACCESS_TOKENLIBRELINKUP_EMAILLIBRELINKUP_PASSWORD | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 1 | 0 |
| Directory activity | 3 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | 19 | 18 |
| Full listing | View Wellness Cgm MCP | View Openfda |
Tools & capabilities
Wellness Cgm MCP tools 19
cgm_agent_manifestReturns the wellness-cgm-mcp agent manifest: tool list, supported clients, env vars, recommended first calls, capabilities, privacy posture, and community links.cgm_capabilitiesLists supported providers, configured providers (via env vars), available metrics, and privacy modes.cgm_connection_statusReports the active CGM provider (dexcom | libre), why it was selected, whether credentials are present, and whether the connector will return mock vs live data. For Dexcom it includes the env (sandbox/production); for FreeStyle Libre it includes the LibreLink Up region.cgm_privacy_auditReturns what wellness-cgm-mcp stores locally, what is sent to Dexcom, what is never logged, and agent rules.cgm_data_inventoryReturns the metric catalog plus thresholds (TIR ranges, GMI formula reference).cgm_glucose_nowReturns the most recent EGV (estimated glucose value) plus trend arrow if available.cgm_glucose_windowReturns all EGVs over the last N hours (default 24). `hours` is the window REQUESTED; `hours_covered` and `observed_window` state what the provider actually returned. FreeStyle Libre (LibreLink Up) caps a live read at ~12h regardless of the request, so any wider ask comes back short and `notes` says so — read the covered window, not the requested one.cgm_hypo_eventsv0.3.3 — Detect hypoglycemia events between `from` and `to` ISO dates. Returns an array of contiguous below-threshold runs lasting ≥ `min_duration_minutes`, each with `started_at`, `ended_at`, `duration_minutes`, `min_glucose_mg_dl`, `mean_glucose_mg_dl`, `severity` (level_1 = <70 ADA Level 1, level_2 = <54 ADA Level 2), and `recovery_time_minutes` (time to first reading ≥ threshold+10). Also returns `total_events`, `total_minutes_below`, `mean_min_glucose`, `events_per_day`, a `summary` string, and `recommendations` grounded in what was actually observed. `window` is the span REQUESTED; `hours_covered`, `observed_window` and `window_truncated_by_provider` state what the provider actually returned — FreeStyle Libre (LibreLink Up) caps a live read at ~12h, so a 3-day question can be answered from half a day and `notes` says so. "No hypos" is only true for `hours_covered`. **MEDICAL DISCLAIMER: NOT medical advice. Do not use for treatment decisions. Hypo events should be discussed with your clinician.**cgm_daily_summaryReturns daily glucose stats: mean, median, min/max, stdev, GMI (estimated A1C), CV, time-in-range (diabetic 70-180 + metabolic-health 70-140). `window_hours` is what was REQUESTED; every stat is computed over `hours_covered` / `observed_window`, which can be shorter — FreeStyle Libre (LibreLink Up) caps a live read at ~12h, so a 72h request yields a half-day metric and `notes` flags it. Never report these numbers as covering more than `hours_covered`.cgm_time_in_rangeCompute Time in Range (TIR), Time Below Range, and Time Above Range over a specific time window with a customizable target range. Use this for mealtime TIR (e.g. 7am-10am breakfast window), overnight TIR (e.g. 23:00-07:00), or specific date-range comparisons. Returns total_readings, readings_in_window, mean_glucose, median_glucose, and GMI (Glucose Management Indicator, estimated A1C per ADA / Bergenstal 2018: GMI% = 3.31 + 0.02392 × mean_mg_dL). Supports a `time_window` preset ("wake" = 06:00-22:00, "sleep" = 22:00-06:00, "all") OR explicit `start_hour` / `end_hour` (0-24, UTC) for recurring hour-of-day filtering. Defaults: 24h load, ADA 70-180 mg/dL, time_window=all. Pulls from cgm_glucose_window data; falls back to mock in unauth mode.cgm_meal_responseCompute glucose response to a meal: baseline → peak → return-to-baseline. Returns peak delta, peak time (min after meal), and a band (excellent/good/moderate/poor).cgm_authorize_urlRead-only OAuth URL generation; does not exchange tokens. Not a state mutation of glucose data. Gated by: user must open URL themselves (explicit user action). Builds the Dexcom OAuth authorize URL. The user opens it, grants access, and Dexcom redirects to your registered DEXCOM_REDIRECT_URI with an auth code. If credentials are missing, returns a hint with the exact env vars needed.- +7 more on the listing page
Openfda tools 18
fda_drug_eventsSearch FAERS adverse event reports by drug name, MedDRA reaction term, or date range. Returns report counts, reaction types, seriousness levels, and dates. Natural multi-word reaction phrasing is retried against MedDRA preferred-term word order before an empty result is reported. FAERS reports do not establish incidence or causality.fda_drug_approvalsFind FDA-approved drugs by brand name, active ingredient, or application number. To find generic versions of a drug, search by active ingredient using products.active_ingredients.name (NOT openfda.generic_name — that field only works in the label endpoint). IMPORTANT: drug names in the FDA database are stored in UPPERCASE — always pass ingredient and brand names in uppercase (e.g. "APIXABAN" not "apixaban") or you will get 0 results. Returns approval status, sponsor, application number (ANDA = generic, NDA = brand), and application details. There is NO queryable "application_type" field — never add application_type:"ANDA" (it returns 0 results). To limit to generics, search by active ingredient and read the ANDA/NDA prefix on application_number in the results. This endpoint has NO indication/disease field — for "drugs approved to treat <condition>" use fda_drug_labels (which searches indications_and_usage); an indication phrase passed here is silently ignored and matches by drug name only. The response `total` can exceed the 100-row cap on a single page — use `skip` to page past it, and `sort` to get genuinely-newest-first ordering ("most recently approved" is not the default order).fda_applications_by_cikFind ALL Drugs@FDA applications for a company by SEC CIK, ticker, or company name — without needing to know its FDA sponsor_name spelling. Drugs@FDA has no company-ID field: sponsor_name is free text, and one company routinely files under several forms (e.g. Eli Lilly appears as "LILLY", "ELI LILLY AND CO", "ELI LILLY CO", "LILLY RES LABS" — its own SEC-registered name "ELI LILLY AND COMPANY" matches ZERO of them in fda_drug_approvals). This resolves the company via SEC (same identity as the edgar pack), derives its most distinctive name token, and searches Drugs@FDA for every sponsor_name variant containing it in one call — returning the combined application list plus a `sponsor_name_forms` breakdown showing exactly which spellings were found. Use this INSTEAD of guessing sponsor_name strings for fda_drug_approvals when you have (or can resolve) the company's CIK/ticker. For a subsidiary or operating name that isn't itself SEC-listed, resolve to the parent first with edgar's sponsor_to_filer, then pass that CIK here.fda_novel_approvalsMost recent novel drug approvals — the newest drugs approved by the FDA. Use for "what is the most recent novel drug the FDA approved", "latest FDA drug approvals", "recently approved new drugs or biologics this month/year". Returns original NDA/BLA approvals (generics excluded by default) sorted newest-first, with approval date, brand name, active ingredients, sponsor, and application number. Not for label text (fda_drug_labels) or searching a specific known drug (fda_drug_approvals).fda_drug_labelsGet FDA drug labeling (SPL) by drug name OR by INDICATION. This is the tool for "what drugs are approved to treat <condition>" — it searches the indications_and_usage text, which the drugsfda approvals endpoint does NOT carry. Query by brand/generic name (openfda.brand_name:"HUMIRA"), or by indicated use (indications_and_usage:"rheumatoid arthritis"). Returns indications, boxed/other warnings, dosage, contraindications, and adverse reactions (each text field capped, set_id preserved for out-of-band full-label fetch). Note: FDA label publication trails approval by weeks, so a just-approved drug may not have a label yet.fda_drug_recallsSearch FDA drug recalls and enforcement actions by drug name or reason — returns recall classification, date, reason and enforcement status. A multi-word search is tried as ALL terms first and falls back to ANY term when nothing matches all of them; the response says which happened in match_mode, so a loose match is never mistaken for a precise one. Recall reasons are free narrative text and often name the contaminant rather than the harm ("NDMA impurity", not "cancer"), so search the substance when a symptom finds nothing.fda_drug_shortagesSearch the FDA Drug Shortages database by generic or brand name, manufacturer, status, or an advanced openFDA query. Returns national supply records and available FDA dates; reason and other details are sparse in the upstream data. This is not local pharmacy inventory or medical advice.fda_shortage_changesFDA drug-shortage records ordered by update_date, newest first, then restricted to the requested look-back window. Use for recently updated, discontinued, or resolved national shortages; this does not imply availability at any specific pharmacy or hospital. Most rows in any window are "Reverified" (FDA re-checking a status it already had) — pass update_type to filter to the change kinds that actually matter, e.g. New/Discontinued/To Be Discontinued/Resolved, and exclude Reverified.fda_complete_response_lettersSearch FDA-disclosed Complete Response Letters for drug and biologic applications. Defaults to letter_type "COMPLETE RESPONSE"; optionally include other letter types in the same dataset. Returns the application’s current approval_status, letter metadata, an excerpt, and the official document URL.fda_crl_detailRetrieve one FDA Complete Response Letter by application number and optionally letter date. Returns the FDA-disclosed letter text and document URL. Confidential commercial and trade-secret material may be redacted by FDA.fda_food_recallsSearch FDA FOOD recall / enforcement reports (openFDA /food/enforcement) — product recalls, reasons, classification, recalling firm, distribution, and status. Use for food-safety / recall-history questions (distinct from fda_drug_recalls which covers drugs).fda_event_countsAggregate adverse events by reaction type, patient age, or outcome. Returns top reactions for a drug and event trends over time.- +6 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Wellness Cgm MCP
{
"mcpServers": {
"davidmosiah-wellness-cgm-mcp": {
"command": "npx",
"args": [
"-y",
"delx-wellness-hermes"
],
"env": {
"CGM_PROVIDER": "YOUR_CGM_PROVIDER_HERE",
"DEXCOM_ENV": "YOUR_DEXCOM_ENV_HERE",
"DEXCOM_CLIENT_ID": "YOUR_DEXCOM_CLIENT_ID_HERE",
"DEXCOM_CLIENT_SECRET": "YOUR_DEXCOM_CLIENT_SECRET_HERE",
"DEXCOM_REDIRECT_URI": "YOUR_DEXCOM_REDIRECT_URI_HERE",
"DEXCOM_ACCESS_TOKEN": "YOUR_DEXCOM_ACCESS_TOKEN_HERE",
"LIBRELINKUP_EMAIL": "YOUR_LIBRELINKUP_EMAIL_HERE",
"LIBRELINKUP_PASSWORD": "YOUR_LIBRELINKUP_PASSWORD_HERE"
}
}
}
}
Openfda
{
"mcpServers": {
"openfda": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-openfda"
]
}
}
}
Frequently asked questions
Wellness Cgm MCP is categorized under Biology & Bioinformatics and uses a local stdio subprocess. Openfda belongs to Biology & Bioinformatics and uses a local stdio subprocess. Pick Wellness Cgm MCP for biology & bioinformatics work and Openfda for biology & bioinformatics.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Wellness Cgm MCP is listed as free. Auth: oauth 2.0. Openfda has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add davidmosiah-wellness-cgm-mcp and openfda as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Wellness Cgm MCP has a quality signal of 61/100 (Good) with 3 views, 0 installs and 1 GitHub stars. Openfda has 59/100 (Good) with 2 views, 0 installs and 0 GitHub stars.