medmcp
Related Servers
Alternatives to medmcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceEnables LLM-driven tool execution with policy-gated authorization, deterministic verification, and replay for radiographic measurement and SQL repair tasks.3MIT
- AlicenseBqualityDmaintenanceQuery clinical datasets like MIMIC-IV and eICU with natural language, supporting both tabular EHR data and clinical notes through a unified interface.1143MIT
- AlicenseNot gradedqualityAmaintenanceEnables natural-language queries over data warehouses with catalog-grounded semantics and per-query authorization, returning answers with attached reasoning.Apache 2.0
- FlicenseNot gradedqualityBmaintenanceEnables natural language querying of healthcare claims data by exposing a SQLite database with read-only SQL tools, allowing users to ask questions in plain English and get answers backed by real database queries.-
- FlicenseNot gradedqualityCmaintenanceEnables natural-language querying of SQLite databases through a governed semantic layer, with citations and typed abstention for PII or uncertified data.-
- AlicenseNot gradedqualityDmaintenanceEnables natural language exploration of OMOP CDM databases for concept discovery, patient count queries, and cohort SQL generation with support for multiple database backends.1MIT
TDQS
Scored across 4 tools
Each tool serves a distinct purpose: patient search, admissions lookup, lab results retrieval, and data aggregation. There is no overlap in their intended actions or target data, making misselection unlikely.
Three tools follow the verb_noun pattern (find_patients, get_admissions, get_labs), while 'aggregate' is a single verb without a noun. This is a minor deviation but still readable and predictable overall.
With only 4 tools, the server is tightly scoped to core MIMIC-IV demo queries. Each tool covers a significant workflow, and the count is well within the ideal range for a focused medical data access server.
The tools cover patient lookup, admissions, labs, and aggregation, which handles most basic exploratory queries. Missing operations like diagnosis or medication retrieval are notable but not critical given the demo scope, so agents can work around them.