mcpbeat

Medical Terminologies MCP Server

io.github.SidneyBissoli/medical-terminologies-mcp
answering

Medical Terminologies MCP is answering right now. Last checked 9 min ago. 211 installs a week from npm. It exposes 31 tools. Last commit 31 Jul 2026.

Diagnoses, drugs & lab codes: ICD-11, SNOMED, LOINC, RxNorm, MeSH, ATC, CID-10. 37 tools, MIT.

Installs per day peak 96 · avg 22 · +105% w/w
a month agotoday
Uptime history 39 hours of history
39 hours agonow
100.0%
Uptime 24h
91 of 91 checks
31
Tools
read from the server
306 ms
Response time
average over 24h
211
Installs / week
npm and PyPI

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 9 min ago.

run in your terminal
claude mcp add medical-terminologies-mcp --transport http https://medical.sidneybissoli.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "medical-terminologies-mcp": {
      "url": "https://medical.sidneybissoli.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.medical-terminologies-mcp]
url = "https://medical.sidneybissoli.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "medical-terminologies-mcp": {
      "url": "https://medical.sidneybissoli.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "medical-terminologies-mcp": {
      "url": "https://medical.sidneybissoli.com/mcp"
    }
  }
}

Available tools 31

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

icd11
icd11_chapters
List all ICD-11 chapters (top-level categories). Use this tool to: - Get an overview of ICD-11 structure - Find which chapter covers a body system or condition type - Navigate to specific disease categories ICD-11 has 28 chapters covering all areas of medicine.
icd11_hierarchy
Navigate the ICD-11 hierarchy to find parent or child entities. Use this tool to: - Find broader categories (parents) of a condition - Find specific subtypes (children) of a condition - Understand the classification structure Direction 'parents' returns ancestor categories, 'children' returns subcategories.
icd11_lookup
Get detailed information about a specific ICD-11 entity by code or URI. Use this tool to: - Get the full definition of a disease - Retrieve coding notes and exclusions - Get the official title and synonyms Provide either an ICD-11 code (e.g., "BA00") or a full foundation URI.
icd11_postcoordination
Get postcoordination information for an ICD-11 code. Use this tool to: - Find available axes for building composite codes - Check required vs optional postcoordination - Understand code extension possibilities Postcoordination allows adding severity, laterality, anatomy, etc.
icd11_search
Search for medical conditions, diseases, and health problems in ICD-11 (International Classification of Diseases, 11th Revision). Use this tool to: - Find ICD-11 codes for diagnoses - Search for diseases by name or keyword - Look up conditions in multiple languages Returns matching entities with codes, titles, and relevance scores.
rxnorm
rxnorm_classes
Get therapeutic and pharmacologic classes for a drug. Use this tool to: - Find the drug class (e.g., "Beta-blockers", "NSAIDs") - Identify therapeutic categories - Look up mechanism of action classifications Returns class IDs, names, and classification sources.
rxnorm_concept
Get detailed information about a specific RxNorm concept by RxCUI. Use this tool to: - Get the full name and synonyms for a drug - Check the concept status (active, remapped, etc.) - View related concepts (ingredients, brands, forms) Provide an RxCUI (RxNorm Concept Unique Identifier) like "161".
rxnorm_ingredients
Get active ingredients for a drug by RxCUI. Use this tool to: - Find the active ingredients in a medication - Check for single vs. multiple ingredient products - Identify the generic components of brand drugs Returns ingredient RxCUIs and names.
rxnorm_ndc
Map between RxNorm concepts and National Drug Codes (NDC). Use this tool to: - Get all NDC codes for a drug (by RxCUI) - Find the RxCUI for an NDC code - Cross-reference between coding systems Provide either an RxCUI to get NDCs, or an NDC to get the RxCUI.
rxnorm_search
Search for drugs in RxNorm (Normalized names for clinical drugs). Use this tool to: - Find drug concepts by brand or generic name - Look up medications for prescribing - Search for drug formulations Returns matching drugs with RxCUI identifiers, names, and term types.
cid10
cid10_chapter
Get one CID-10 chapter and its constituent groups (e.g., "Chapter IX → I00-I02 Febre reumática aguda, I05-I09 Doenças reumáticas crônicas do coração, ..."). Use this tool to: - Drill from a chapter into its groups - Build hierarchical browsers - Find which group contains a code range Provide a chapter number (1-22).
cid10_chapters
List the 22 chapters of CID-10 with their code ranges and Portuguese titles. Use this tool to: - See the top-level structure of CID-10 (chapters I-XXII, e.g., "I. Algumas doenças infecciosas e parasitárias", "IX. Doenças do aparelho circulatório") - Map a code to its chapter by code range (e.g., I00-I99 → chapter IX) - Build a navigable table of contents for downstream tooling Returns 22 entries — CID-10 V2008 has not been updated since 2008.
cid10_lookup
Look up a specific CID-10 code and return its Portuguese name. Use this tool to: - Resolve a code to its Brazilian description ("I21" → "Infarto agudo do miocárdio") - Confirm a 3-char category or 4-char subcategory exists in CID-10 - Retrieve gender / cause-of-death restriction flags when applicable Accepts both dotted ("A00.1") and undotted ("A001") forms; returns the canonical display.
cid10_search
Search the Brazilian CID-10 (Classificação Estatística Internacional de Doenças, 10ª Revisão) by Portuguese text. Use this tool to: - Find CID-10 codes for Brazilian SUS / ANVISA contexts ("infarto", "diabetes", "tuberculose") - Look up the official Portuguese (CBCD/USP) translation of a clinical term - Locate codes for billing, epidemiology, and clinical documentation in Brazil Returns matches from CID-10 categories (3-char) and/or subcategories (4-char). Search is diacritic-insensitive: typing "infeccoes" matches "infecções". This tool searches the Brazilian Portuguese CID-10 V2008 — for the international ICD-11 (current WHO revision, in English by default), use icd11_search.
loinc
loinc_answers
Get the list of valid answers for a LOINC questionnaire item. Use this tool to: - Find valid response options for survey questions - Get answer codes for data entry validation - Look up standardized answer lists Only applicable to LOINC codes that represent questions with defined answer sets.
loinc_details
Get detailed information about a specific LOINC code. Use this tool to: - Get the full name and description of a LOINC code - Find the component, property, timing, and system - Check the scale type and method Provide a LOINC number in format "XXXXX-X" (e.g., "2339-0" for Glucose).
loinc_panels
Get the structure of a LOINC panel or form. Use this tool to: - See all tests included in a panel (e.g., CBC, metabolic panel) - Get the structure of assessment forms - Find related observations grouped together Returns the list of LOINC codes that make up the panel.
loinc_search
Search for laboratory tests, clinical observations, and measurements in LOINC (Logical Observation Identifiers Names and Codes). Use this tool to: - Find LOINC codes for lab tests (e.g., "glucose", "hemoglobin") - Search for clinical measurements and vital signs - Look up diagnostic observations Returns matching LOINC codes with names, components, and properties.
mesh
mesh_descriptor
Get detailed information about a MeSH descriptor by ID. Use this tool to: - Get the full definition (scope note) of a MeSH term - View tree numbers showing hierarchy location - See related concepts and synonyms Provide a MeSH Descriptor ID like "D015242" (Ofloxacin).
mesh_qualifiers
Get allowed qualifiers (subheadings) for a MeSH descriptor. Use this tool to: - Find which qualifiers can be combined with a descriptor - Build precise MeSH search queries - Understand aspects that can be specified Qualifiers refine descriptors (e.g., "Diabetes Mellitus/drug therapy").
mesh_search
Search for MeSH (Medical Subject Headings) descriptors. Use this tool to: - Find MeSH terms for indexing medical literature - Look up subject headings for PubMed searches - Find controlled vocabulary terms Returns matching descriptors with MeSH IDs and labels.
mesh_tree
Get the tree hierarchy location(s) for a MeSH descriptor. Use this tool to: - See where a term fits in the MeSH hierarchy - Understand broader/narrower relationships - Find related terms in the same branch MeSH tree numbers show the hierarchical path (e.g., C14.280.647 for Myocardial Infarction).
atc
atc_classify
Look up the WHO ATC (Anatomical Therapeutic Chemical) classification(s) for a drug by name. Use this tool to: - Find the ATC code for a medication (e.g., "metformin" → A10BA02) - Identify the therapeutic and pharmacological class hierarchy - Cross-reference drugs with their international ATC codes Returns one entry per ATC code the drug belongs to. A single-ingredient drug typically maps to one substance-level code; combination products map to multiple. ATC codes are international (WHO Collaborating Centre); this tool retrieves them via NLM RxClass.
atc_lookup
Look up an ATC code at level 1-4 to get its name and hierarchy level. Use this tool to: - Resolve an ATC code (e.g., "A10BA") to its class name ("Biguanides") - Confirm a code exists in the current ATC index - Identify the level (anatomical / therapeutic / pharmacological / chemical) Accepts codes 1-5 characters long: "A" (anatomical), "A10" (therapeutic), "A10B" (pharmacological), "A10BA" (chemical). Substance-level codes (7 chars, e.g., "A10BA02") are not exposed by this endpoint — use atc_classify with the drug name to retrieve the substance code.
atc_members
List the drugs (substances) that belong to an ATC class. Use this tool to: - Enumerate all members of a therapeutic class (e.g., "A10BA" → metformin, phenformin) - Build a list of drugs sharing a pharmacological mechanism - Explore an ATC subtree at any level Each member includes its substance-level (7-char) ATC code via source_atc_code, useful for disambiguation when the queried class is at level 1-4. RxNorm's catalog is US-centric; the ATC class names and codes themselves are international.
map
map_icd10_to_icd11
Authoritative ICD-10 → ICD-11 mapping using WHO transition tables (release 2025-01, bundled with the server). Returns the primary 1:1 ICD-11 category for the ICD-10 code plus any alternative ICD-11 candidates that WHO documents (some ICD-10 concepts split into multiple ICD-11 entities). For each mapping, includes the ICD-11 code, title, chapter, and the Foundation URI / Linearization URI for navigating to the full entity definition. Use this for clinical coding, billing migration, retrospective analysis, and any workflow that needs authoritative mapping rather than text-search candidates. Coverage: 11,243 ICD-10 categories (excludes chapters and blocks like "A00-A09" which aren't used in clinical coding). Provide a code like "E11" (Type 2 diabetes), "I21" (Acute MI), or "A07.8" (4 alternatives in WHO's table). Both dotted ("A07.8") and undotted ("A078") forms are accepted. Returns "no mapping" when the code isn't in the WHO category-level table — that's the honest answer rather than a fuzzy search fallback.
map_loinc_to_snomed
This tool looks up a LOINC code in NLM Clinical Tables and returns guidance on where to obtain a LOINC → SNOMED CT mapping. It does not perform the mapping. Direct LOINC → SNOMED CT mappings are not freely available via API. UMLS Metathesaurus contains the relationships but requires an individual UMLS Terminology Services license; the LOINC SNOMED CT Expression Association is published by Regenstrief Institute as part of the LOINC release and requires authenticated download from loinc.org under the LOINC license. For programmatic LOINC → SNOMED mapping, use UMLS or the LOINC Expression Association files. For interactive lookup, use the SNOMED CT browser available to your organization or the Regenstrief RELMA desktop tool. Provide a LOINC code like "2339-0" (Glucose) or "718-7" (Hemoglobin).
terminology
terminology_diff
Report what diff data is available between two versions of a terminology. For most terminologies this is **guidance only** — the server doesn't ship historical snapshots, so the tool points at the publisher's official changelog and explains the cadence. `bundled_versions` lists the version(s) this server actually has on hand. For **ICD-10 vs ICD-11** specifically, the tool surfaces a real cross-revision summary from the bundled WHO transition tables (the ICD-10 → ICD-11 case is a structural diff between two WHO revisions). Use `terminology: "icd10"` with no `to_version` to get the cross-revision summary: total mapped ICD-10 categories, how many are 1:1 vs split into multiple ICD-11 codes, and the average number of alternatives when split. Inputs: - `terminology` (required): which terminology to report on. - `from_version` (optional): the version you have data from. If omitted, the tool reports against the currently-bundled version. - `to_version` (optional): the version you want to compare to. If omitted, the tool reports against the publisher's latest known release. This tool is intentionally a metadata + guidance layer, not a diff engine — for terminologies that change frequently (SNOMED, LOINC, RxNorm, MeSH), the publisher's official changelog is the authoritative source.
terminology_versions
List the current version, release date, publisher, source URL, and update cadence of every terminology this server queries against. Useful for pipeline maintainers who need to: - Confirm which release of ICD-11 / SNOMED / LOINC / RxNorm / MeSH / ATC the server is querying before a batch run. - Verify the bundled CID-10 (frozen at V2008) and ICD-10 → ICD-11 transition tables (currently 2025-01) match expectations. - Cite the data version in research artifacts. Pass `terminology` to filter to a single entry; otherwise the full set of 8 is returned. The ICD-10 → ICD-11 version reads live from the bundled dataset; everything else is metadata maintained alongside the project release.
equivalent
find_equivalent
Search for equivalent terms across multiple medical terminologies. Use this tool to: - Find the same concept in different coding systems - Compare how terminologies represent a concept - Support terminology mapping and data integration Searches across: ICD-11, SNOMED CT, LOINC, RxNorm, and MeSH. Set `target_terminologies` to limit which are searched, or set `source_terminology` to exclude one (e.g. when you already have a code from that terminology and want equivalents elsewhere). The two combine: source is subtracted from targets.
validate
validate_codes
Validate a mixed batch of medical codes against their source terminologies. Useful for retrospective analysis of legacy databases — flag codes that no longer exist, surface ICD-10 → ICD-11 replacements, and grade activity status where the terminology exposes it. For each input `{ code, terminology }`, returns: - **valid**: whether the code exists in the source terminology. - **active**: whether the code is currently active. Null when the source doesn't expose an explicit active/inactive distinction at category level (CID-10, ATC, ICD-11, RxNorm, MeSH all return null today; SNOMED and LOINC return a real boolean). - **title**: the official label/name when available. - **replaced_by**: a successor code, populated today only for ICD-10 codes that have a primary ICD-11 mapping in the bundled WHO transition tables. - **source**: human-readable provenance of the validation (terminology + release/version). - **error**: non-null only when validation couldn't be performed (network error, SNOMED feature flag off, etc.). `valid: false` + `error: null` means "code not found"; `valid: false` + `error: set` means "couldn't validate". Terminology is **required per code** — auto-detection isn't supported because category codes like "A00" exist in both ICD-10 and CID-10. Accepted values: `icd11`, `icd10`, `snomed`, `loinc`, `rxnorm`, `mesh`, `atc`, `cid10`. Hard cap of 50 codes per call; codes are validated in parallel through their respective clients, so total wall time scales with the slowest upstream + its rate limit (worst case ~10 s for a full batch hitting ICD-11).

Endpoints

URLTransportStateLatencyChecked
https://medical.sidneybissoli.com/mcp streamable-http answering 501 ms 9 min ago

Medical Terminologies MCP — questions

Answers built from our own checks of this server.

What can Medical Terminologies MCP do?
It exposes 31 tools, read directly from the server on our last check. Among them: atc_classify, atc_lookup, atc_members, cid10_chapter, cid10_chapters, cid10_lookup and 25 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is Medical Terminologies MCP mostly used for?
Its tools cluster around icd11, rxnorm and cid10. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Medical Terminologies MCP working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 306 ms. The bar chart above shows every period we have measured.
How do I connect Medical Terminologies MCP?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Medical Terminologies MCP need an API key?
No. Medical Terminologies MCP completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 31 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Medical Terminologies MCP?
It answers our handshake in 306 ms on average, which is faster than 46% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use Medical Terminologies MCP?
The npm package medical-terminologies-mcp was installed 211 times in the last week. Week over week that is +105%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Medical Terminologies MCP open source?
Yes — it is published under the MIT licence, written in TypeScript and 7 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.