Health
Medigami
by Medigami · medigami.com/mcp
Scan medical bills for errors, decode insurance denials, and draft appeals with success rates.
Medigami scans medical bills and EOBs for duplicate charges, upcoding, and facility-fee overcharges. It decodes insurance denial codes, generates appeal letters with legal citations, finds lowest-cost prescription paths, and predicts appeal success rates based on aggregate outcome data.
Try asking Muse: "Scan my medical bill for billing errors and tell me how much I might recover."
Working now?
Working
Worked last 7 days
98.4% of checks
How to get it
Extra setup
Account
No account needed
Price
Not stated
Source: Found in the official MCP Registry (com.medigami/mcp) · First listed September 24, 2026
Last 24 hours
Each bar is one check, every 15 minutes. Green means it answered. Last checked 2 h ago.
Is it safe to connect?
What Muse can see: It does not ask you to sign in, so it cannot see your accounts. It only sees what Muse sends it from your request.
Before it acts: Read what Muse plans to do before you approve it, and remove the app from Muse when you stop using it.
musedirectory.ai is not part of Meta. More about how Muse handles your information
How to add it to Muse
Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
https://mcp.medigami.com/public/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Technical details: safety screening, tools, response time and recent checks
Response time at the last check: 1105ms. Worked in 98.4% of checks over 30 days.
Screening · September 24, 2026
Screened, no issues found
MCP handshake
Pass
Answered in 657ms
Domain against threat feeds (Cloudflare security DNS)
Pass
mcp.medigami.com, medigami.com not flagged
Published packages against the OSV malicious-package database
n/a
No npm or PyPI package published
Hidden instructions or invisible characters in tool text
Pass
87 tools read, nothing found
Inputs asking for passwords, card numbers or seed phrases
Pass
None found
Domain and redirects
Pass
Domain registered 186 days ago
AI review of purpose and tool behavior
Pass
No concerns
Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.
Tools · 40
scan_bill_for_errorsScan a medical bill or EOB text for errors: duplicate charges, CPT unbundling, upcoding, facility-fee overcharges. Returns flagged anomalies with estimated dollar impact and a total recovery estimate. PHI WARNING: bill text typically contains PHI (patient name, DOB, MRN, insurer generate_appeal_letterGenerate a legally-grounded insurance appeal letter for a denied claim. Returns the letter as a template with [PATIENT NAME] and [PROVIDER NAME] placeholders (structured-only PHI posture). Includes legal citations, recommended attachments, and appeal-deadline calendar. WHEN TO USoptimize_prescriptionFind the lowest-cost path for a prescription: generics, biosimilars, GoodRx coupons, manufacturer assistance, 90-day fills, and mail-order vs retail comparison. Returns ranked options with annual savings vs current copay. WHEN TO USE: User asks about prescription cost — lowest-pranalyze_glp1_pathwaysFind all access pathways for a GLP-1 drug (Ozempic, Wegovy, Mounjaro, Zepbound) given patient eligibility factors. Ranks pathways by monthly cost, flags prior-authorization rules and step-therapy, and returns the recommended appeal strategy if denial is likely. WHEN TO USE: User verify_attestationVerify an Ed25519-signed Medigami MCP response envelope — confirm a medical-bill / appeal / denial / rate answer came from Medigami and hasn't been tampered with. Input: the signed envelope + a public key (PEM) or expected-fingerprint you pinned out-of-band. Returns {valid, reasowatch_appeal_outcomeSubscribe to an appeal outcome by tracking_id. Blocks up to `timeout_seconds` (default 300). Returns the outcome payload as soon as it's recorded, or {status: 'timeout'} if nothing resolved within the window — caller re-invokes to keep watching. Tracking ids are returned by estimwatch_claim_denialSubscribe to a claim denial event for a given scan_id. Blocks up to `timeout_seconds`. Returns {status: 'denied', ...} as soon as the payer marks the claim denied in claim_status_history, or {status: 'timeout'} if no denial observed within the window. WHEN TO USE: Caller wants toformat_citationFormat an LLM-citable reference to a previously-attested Medigami MCP response. Input: either the full signed envelope that an earlier attested tool returned, OR just a tracking_id. Returns a short citation string, a public verification URL a third party can open to inspect and csubmit_denial_letterSubmit a medical-claim denial letter to the Medigami Denial Common Crawl (public aggregate dataset). Consent-gated — caller must pass consent=true to attest the submission is voluntary. Server-side PHI scrubber runs before any storage; the public aggregate contains only coded fieverify_mcp_responseDEPRECATED ALIAS of verify_attestation — kept for backward compatibility with v0.1.7 clients. New code should call verify_attestation directly. WHEN TO USE: Reference lookups: individual code details, verifying a provider registry entry, checking a prior Medigami response's signaformat_medigami_citationDEPRECATED ALIAS of format_citation — kept for backward compatibility with v0.1.7 clients. New code should call format_citation directly. WHEN TO USE: Reference lookups: individual code details, verifying a provider registry entry, checking a prior Medigami response's signature, estimate_appeal_successProbability an appeal will be approved, derived from outcome-labeled data weighted by label provenance (IRO determinations, EOB reversals, physician confirmations). Returns probability + 95% CI + sample_size + expected_days_to_resolution + tracking_id. Report the actual outcome lresolve_denialEnd-to-end denial resolution: returns appeal probability + confidence interval + a drafted letter template grounded in aggregate outcome data + plan-context flags (ERISA, restrictive-adjuster state). One call, one tracking_id. No recovery-financing product is offered by this toolmaximize_recoveryGiven a prior scan_id, returns a prioritized action list: anomalies ranked by (expected overcharge x recovery probability), with the next steps to pursue each. Use after scan_bill_for_errors. WHEN TO USE: User has already run scan_bill_for_errors and wants the anomalies ranked byexplain_appeal_successHuman-readable rationale for an appeal probability. Returns {probability, tier, recommended_posture, rationale, expected_days_to_resolution, tracking_id} grounded in aggregate outcome rates — not model feature weights. Use this when the caller wants 'why' in plain English alongsinegotiate_bill_scriptGenerate a phone script the user can read when negotiating a medical bill directly with the provider. Combines DP-noised commercial rate benchmarks + the caller's household income + federal charity-care rules (IRS §501(r)) into three negotiation angles: financial assistance, selfbatch_scan_billsScan multiple medical bills in one call. Returns per-bill anomaly lists + total recovery estimate across the batch. Input is a list of {bill_text, provider?, insurer?} items (max 10 per call). Much faster than serial scan_bill_for_errors when handling a bulk upload. WHEN TO USE: lookup_icd10Look up an ICD-10-CM diagnosis code or search by keyword. Input is either an exact code (e.g. 'E11.21') or a free-text description phrase ('type 2 diabetes with nephropathy'). Returns either the matching code + description or up to 20 candidate matches. Use when a clinical note ulookup_cptLook up a CPT or HCPCS-J code or search by keyword. Covers the most common outpatient billing codes (E/M, preventive, lab, imaging, procedure, cardiology, therapy, behavioral, vaccine, injectable drugs). Note: CPT is a registered trademark of the American Medical Association; fullookup_npiLook up a provider in the CMS NPPES National Provider Identifier registry. Accepts a 10-digit NPI number OR a provider name (optionally narrowed by 2-char state). Returns up to 20 matches with entity type, specialty, taxonomy code, address, and status. Source: CMS NPPES public APverify_dea_authorizationValidate the format + checksum of a DEA registration number (format: [A-Z][A-Z9][0-9]{7}; public checksum algorithm). Useful as a sanity check on a DEA number you were given (e.g. on a prescription label or a provider's letterhead). Scope note: this tool confirms the number is welookup_provider_taxonomyLook up a NUCC provider taxonomy code (the specialty codes used on HIPAA transactions + NPI registrations) or search by keyword. Returns classification + type + optional specialization. Source: NUCC Health Care Provider Taxonomy Code Set (public; CMS-accepted). WHEN TO USE: Resolresolve_codes[Taxonomy A.1 — baseline response (public data only)] Unified code resolver — free-form query or clinical description → ranked ICD-10-CM, CPT, and HCPCS codes with confidence scores. Use when you need to translate symptoms, procedures, or diagnoses into billable codes without runcode_conflict_detector[Taxonomy A.5 — delegates to scan_bill_for_errors] Detect CPT unbundling, mutually exclusive code pairs, and NCCI edit violations in a set of codes. Implemented by the bill scanner's anomaly engine. WHEN TO USE: User asks about medical codes: what a CPT/ICD/HCPCS code means, whetfair_price_estimator[Taxonomy B.8 — delegates to benchmark_payer_rate] Fair-market price distribution for a service: DP-noised percentiles (p10, p25, p50, p75, p90) for the given CPT in a ZIP3 region. WHEN TO USE: User wants to understand what a service typically costs, compare prices across regionsprice_variance_analyzer[Taxonomy B.9 — baseline response (public data only)] Given a target price and a CPT+region, return how many standard deviations above/below the market the target sits, plus confidence. WHEN TO USE: User wants to understand what a service typically costs, compare prices across reclaim_consistency_checker[Taxonomy C.14 — delegates to scan_bill_for_errors] Detect internal contradictions in a claim: time mismatches, mutually exclusive codes, missing required fields, patient-gender/procedure mismatches. WHEN TO USE: Caller is building or validating a claim payload before submission bundling_violation_detector[Taxonomy C.16 — delegates to scan_bill_for_errors] Detect CPT unbundling (billing components of a procedure separately to inflate the claim). Uses the CMS NCCI edits plus payer-specific bundling rules. WHEN TO USE: Caller is building or validating a claim payload before submissiappeal_success_predictor[Taxonomy E.25 — delegates to estimate_appeal_success] Given a denial, predict the probability of a successful appeal. Returns probability with 95% CI, sample size, and recommended appeal-strategy tags. WHEN TO USE: User or caller wants a probabilistic estimate (denial likelihoodgenerate_appeal_letter_v2[Taxonomy F.28 — delegates to generate_appeal_letter] [Taxonomy alias] Generate a state-specific insurance appeal letter with UPL-safe disclaimers for 19 US states. Same impl as generate_appeal_letter. WHEN TO USE: User has a denied claim and wants to appeal, or is preparing argunegotiation_strategy_generator[Taxonomy F.30 — baseline response (public data only)] Given a bill + patient situation, generate a ranked negotiation strategy: hardship appeal, charity-care application, itemization request, phone scripts. WHEN TO USE: User has a denied claim and wants to appeal, or is preparininsurance_response_interpreter[Taxonomy F.31 — baseline response (public data only)] Parse an insurer's response letter or EOB into structured fields: denial reason codes, appeal rights, deadlines, next-step recommendations. WHEN TO USE: User has a denied claim and wants to appeal, or is preparing arguments /settlement_optimizer[Taxonomy F.32 — baseline response (public data only)] For a disputed bill, compute the optimal settlement target price balancing probability of acceptance against amount saved. WHEN TO USE: User has a denied claim and wants to appeal, or is preparing arguments / evidence / escalpatient_cost_forecaster[Taxonomy H.38 — baseline response (public data only)] Given a patient's plan + predicted care needs, forecast annual out-of-pocket spend across expected claims. WHEN TO USE: User is planning for a medical expense, comparing plan options, looking for financial assistance, or tryiinsurance_plan_optimizer[Taxonomy H.39 — baseline response (public data only)] Given a patient's historical claim patterns, rank available insurance plans by expected annual cost. WHEN TO USE: User is planning for a medical expense, comparing plan options, looking for financial assistance, or trying to cash_vs_insurance_optimizer[Taxonomy H.41 — baseline response (public data only)] For a given service + patient plan, determine whether cash-pay + charity-care beats insurance billing. WHEN TO USE: User is planning for a medical expense, comparing plan options, looking for financial assistance, or trying tfinancial_risk_exposure_model[Taxonomy H.42 — baseline response (public data only)] Quantify a patient's financial exposure to medical-debt risk given current plan, health status, and historical claim volatility. WHEN TO USE: User is planning for a medical expense, comparing plan options, looking for financicpt_to_icd_mapper[Taxonomy II.21 — baseline response (public data only)] For a given CPT, surface the ICD-10 codes typically paired with it for medical-necessity support. WHEN TO USE: User has a CPT code and wants to know what ICD-10 diagnoses commonly pair with it for medical-necessity support. icd_to_cpt_mapper[Taxonomy II.22 — baseline response (public data only)] For a given ICD-10, surface the CPT codes typically billed for that diagnosis. WHEN TO USE: User has an ICD-10 diagnosis and wants to know what CPTs are commonly billed for it. WHEN NOT: For planning specific services (use bcode_bundle_validator[Taxonomy II.25 — baseline response (public data only)] Check a set of CPT codes against NCCI bundling rules (distinct from modifier-based unbundling). WHEN TO USE: User asks about medical codes: what a CPT/ICD/HCPCS code means, whether a code combination is valid, or how to map Recent checks
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Link
https://mcp.medigami.com/public/mcpQuestions about Medigami in Muse
How do I connect Medigami to Muse?
Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Medigami to help me. It is a free service with an MCP server at https://mcp.medigami.com/public/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
Is Medigami working right now?
At the last check (September 28, 2026, 07:15 UTC) the endpoint was working, answering in 1105ms. Over the last 7 days it answered 98.4% of health checks. It is checked every 15 minutes.
Is Medigami safe to connect to Muse?
It was screened on September 24, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.
What can Medigami do in Muse?
It exposes 40 tools, including scan_bill_for_errors, generate_appeal_letter, optimize_prescription, analyze_glp1_pathways. For example, you could ask Muse: "Scan my medical bill for billing errors and tell me how much I might recover."
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