A
licenseA
qualityD
maintenanceEnables LLM-based agents to interact with FHIR healthcare data through natural language prompts, providing full CRUD operations on FHIR resources, document processing, and semantic search capabilities.
13
102
MIT
TealFlowMCP
Officialby Appsilon
Related Servers
Alternatives to TealFlowMCP
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceEnables LLMs to interact with clinical patient records using tools for document ingestion, structured conversion, patient profiling, record listing, search, and secure Q&A over patient documentation.-
- 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
- FlicenseNot gradedqualityBmaintenanceEnables LLMs to analyze Python repositories structurally via AST and call graphs, providing code search, symbol lookup, change-impact analysis, workflow tracing, and explanation without embeddings.1-
- FlicenseNot gradedqualityDmaintenanceEnables LLMs and AI agents to search a biomedical knowledge graph for concepts and study variables, traverse semantic relationships, and look up BioData Catalyst PIC-SURE paths for cohort building.-
- FlicenseNot gradedqualityCmaintenanceAn MCP server that enables LLMs to securely query synthetic clinical data through validated, scoped tools (patient summaries, conditions, medications, lab trends, encounters) while maintaining audit logs and access controls.-
TDQS
A4.6/5.0
Scored across 14 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: listing modules, getting module details, searching by analysis, checking dataset compatibility, discovering datasets, inspecting dataset info, generating code, and managing the environment. Even similarly named tools like list_datasets and discover_datasets serve different functions (enumerating standard datasets vs. scanning a directory).
Naming Consistency5/5
All tools follow a consistent tealflow_ verb_noun pattern (list, get, search, check, discover, generate, setup, snapshot). The only exception is tealflow_agent_guidance, but it is a meta-tool for initial instructions and does not break the overall consistency.
Tool Count5/5
14 tools provide comprehensive coverage for Teal application development without redundancy. Each tool addresses a distinct step in the workflow from guidance and discovery to code generation and environment validation.
Completeness5/5
The tool set covers the full lifecycle of Teal app development: initial guidance, module and dataset discovery, compatibility checks, code generation for data and modules, startup validation, and environment setup/snapshotting. There are no obvious dead ends or missing operations.
Maintenance
ActivityInactive
ResponsivenessNo issues