MCP server
Medical Terminologies MCP
io.github.SidneyBissoli/medical-terminologies-mcp
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Diagnoses, drugs & lab codes: ICD-11, LOINC, RxNorm, MeSH, ATC, CID-10. 33 tools, MIT.
Working at last checkOfficial: sidneybissoli.com's GitHub account (SidneyBissoli)About 10,661 tokens per request once connected33 tools
https://medical.sidneybissoli.com/mcp
At a glance
- Type
- MCP server
- Publisher
- sidneybissoli.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 33
- Token cost
- About 10,661 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http medical-terminologies-mcp https://medical.sidneybissoli.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.medical-terminologies-mcp] url = "https://medical.sidneybissoli.com/mcp"
Gemini CLI
{"mcpServers":{"medical-terminologies-mcp":{"httpUrl":"https://medical.sidneybissoli.com/mcp"}}}
Cursor
{"mcpServers":{"medical-terminologies-mcp":{"url":"https://medical.sidneybissoli.com/mcp"}}}
VS Code
{"servers":{"medical-terminologies-mcp":{"type":"http","url":"https://medical.sidneybissoli.com/mcp"}}}
Antigravity
agy mcp add medical-terminologies-mcp https://medical.sidneybissoli.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"medical-terminologies-mcp","server_url":"https://medical.sidneybissoli.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"medical-terminologies-mcp","server_url":"https://medical.sidneybissoli.com/mcp"}
Tools
atc_classify~377 tokens
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 codesatc_lookup~280 tokens
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 codesatc_members~246 tokens
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-levcid10_chapter~340 tokens
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 (code ranges with Portuguese titles) - Build hierarchical browsers - Find which groupcid10_chapters~166 tokens
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., I0cid10_lookup~207 tokens
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 applicabcid10_search~474 tokens
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 tfetch~269 tokens
Returns the full document for an id obtained from `search`, as { id, title, text, url, metadata }: `text` is the readable content (Markdown) and `url` the canonical public page to cite. Companion of `search` in the OpenAI Deep Research contract, over the medical terminologies (CID-10 categories andfind_equivalent~648 tokens
Ranked unified 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, LOINC, RxNorm, and MeSharmonize_terms~847 tokens
Map a LIST of free-text clinical terms to standard codes in one call, with ranked candidates and a confidence label for each — the building block of a reviewable crosswalk. Use this tool to: - Harmonize a column of diagnoses, drugs or lab names from a dataset to ICD-11 / RxNorm (+ ATC) / LOINC - Tricd11_chapters~364 tokens
List all ICD-11 chapters (top-level categories) of the pinned WHO release. Use this tool to: - Get an overview of ICD-11 structure - Find which chapter covers a body system or condition type - Get chapter URIs to drill down with icd11_hierarchy (direction 'children') Returns 28 entries in one respicd11_hierarchy~418 tokens
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 Name the entity by `code` (a leaf code like "5A11", or a block range likicd11_lookup~416 tokens
Get detailed information about ONE ICD-11 entity you already have a code or URI for. Use this tool to: - Get the full definition of a disease - Retrieve coding notes, inclusions and exclusions - Get the official title and index terms (synonyms) Provide `code` (e.g., "BA00") or `uri` (any URI a preicd11_postcoordination~360 tokens
List the postcoordination axes WHO allows for one ICD-11 stem code (MMS linearization, pinned release). Postcoordination means attaching extra detail to a stem code — severity, laterality, anatomy, causing agent, etc. — to build a composite (cluster) code. Use this tool to: - See which axes a stemicd11_search~334 tokens
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 Set `language` for WHO's officialoinc_answers~290 tokens
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 (LA…) for data entry validation - Get the item scores of scored instruments (e.g. PHQ-9: "Not at all" = 0 … "Nearly every day" = 3) Returns each ansloinc_details~155 tokens
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~150 tokens
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~218 tokens
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 Rmap_icd10_to_icd11~381 tokens
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 mamesh_descriptor~259 tokens
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). Set `language` to request NLM'mesh_qualifiers~157 tokens
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~359 tokens
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 Set `language` to request NLM's official translations where they exist (e.g. `language: "pt"mesh_tree~158 tokens
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).rxnorm_classes~161 tokens
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~271 tokens
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~157 tokens
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~184 tokens
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~185 tokens
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.search~358 tokens
Searches the medical terminologies (CID-10 categories and chapters, ICD-11, LOINC, RxNorm, MeSH, terminology version records) catalog and returns up to 10 matching documents as { id, title, url }, ordered by relevance (an empty list means nothing matched). This tool exists for the OpenAI Deep Reseaterminology_diff~516 tokens
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) thisterminology_versions~280 tokens
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 / LOINC / RxNorm / MeSH / ATC the server is querying before a batch run. - Verify the buvalidate_codes~676 tokens
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
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