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Let AI query and operate Bahmni/OpenMRS data and workflows via API tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "bahmni-mcp" yet — see the docs or source repo.
After connecting to the Bahmni instance, find patient ID 1024, retrieve their profile, last three visits, and current medications, then summarize them in English.
Returns patient profile, recent visit and prescription data, plus a readable summary.
Use the Bahmni API to count this week’s outpatient appointments by department, sort them, and identify the top three busiest departments.
Outputs appointment totals by department and highlights the busiest departments.
Test whether the current Bahmni/OpenMRS instance key endpoints are available, including patient lookup, visit retrieval, and authentication, and report any failures.
Returns endpoint availability results with failed checks and possible causes.
Connect AI clients to openEHR APIs for EHR management and AQL querying.
Turn existing APIs and databases into MCP tools for direct AI use.
Expose OpenAPI endpoints as MCP tools for LLM-driven REST API access.
Integrate compliant healthcare AI via MCP for enterprise-ready development workflows.
Read, edit, and summarize documents through a Claude-powered chat interface.
Convert OpenAPI files into tailored MCP servers with only needed tools.