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Server Details

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

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
SidneyBissoli/medical-terminologies-mcp
GitHub Stars
7
Server Listing
Medical Terminologies MCP

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

Enable or disable individual tools per connector, so you decide what your agents can and cannot do.

Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

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Tool DescriptionsA

Average 4.3/5 across 31 of 31 tools scored. Lowest: 3.6/5.

Server CoherenceA
Disambiguation5/5

Every tool is clearly scoped to a specific terminology and operation. The prefixes (atc_, cid10_, icd11_, loinc_, mesh_, rxnorm_) prevent any ambiguity across terminologies, and within each group the actions (search, lookup, details, etc.) are distinct. No two tools have overlapping purposes.

Naming Consistency5/5

All tools follow a consistent '[terminology]_[action]' pattern using lowercase with underscores. Verbs like classify, lookup, search, and nouns like details are used uniformly. The pattern makes it easy to predict tool names and understand their function.

Tool Count5/5

With 31 tools covering six major medical terminologies (ATC, CID-10, ICD-11, LOINC, MeSH, RxNorm) plus cross-utility tools, every tool earns its place. The count is well-scoped for the server's purpose – not excessive, yet comprehensive enough for terminology lookup, search, and mapping tasks.

Completeness4/5

Core operations (search, lookup, details, hierarchy) are present for each supported terminology. Additional specialized tools (e.g., postcoordination, panels, qualifiers) add depth. However, there is no dedicated SNOMED CT tool beyond validation and find_equivalent, which is a minor gap given SNOMED's importance in clinical data.

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