"Kingsoft Document Connector" matching MCP servers:

Enables querying and monitoring Brazilian Federal Council of Medicine resolutions on AI, telemedicine, and electronic medical records, with a local searchable copy and official document links.

Enables analysis of clinical trial protocols using MCP tools for document listing, entity extraction, adverse event clustering, and summarization.

Enables 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.

Medicare claim documentation lookup for CPT codes against live CMS sources, returning structured requirements and document URIs with optional enrichment via RCI APIs.

MCP server for clinical charting with Claude (codename: Ratchet) - Enables Claude to document patient visits directly into Electronic Medical Records, reducing administrative burden for home health nurses.

AI-powered medical document management for cancer patients and caregivers. Connects Google Drive, Gmail, and Calendar to Claude, ChatGPT, and any MCP client.

Enables biomedical research workflows via MCP, including experiment and document search, PDF text extraction, evidence retrieval, and validation with provenance tracking.

Enables MCP clients to operate MedEval regulatory workspaces, including evidence retrieval, generation, evaluation, and immutable document revisions, all through a local, secure gateway.

Enables AI assistants to query ClinicalTrials.gov and PubMed for research evidence, and to compare regulatory document changes against internal files, with strict read-only access and no ability to modify or export data.

Provides authenticated Streamable HTTP MCP access to a MedEval medical-device regulatory workspace, enabling project selection, evidence retrieval, section context, document revision management, and generation/evaluation task control.

Enables AI-powered medical information retrieval through FHIR clinical document search and GraphRAG-based exploration of medical entities and relationships. Combines vector search with knowledge graph queries for comprehensive healthcare data analysis.

An AI-powered eldercare platform that enables AI agents to monitor passive sensors, generate personalized care plans, and access specialized healthcare knowledge bases. It provides tools for passive monitoring of senior activities, medical document OCR, and real-time alert management for caregivers.

A comprehensive Model Context Protocol (MCP) server for medical document processing with advanced AI capabilities, including OCR, medical NER, local embeddings, and vector search.

Enables privacy-first medical document analysis with multi-perspective AI review. Ingest documents, run consilium reviews, generate doctor letters, and search patient memory—all through natural language.

Enables ChatGPT, Claude and Gemini to run read-only lookups across EMS protocol guides, judges and courts, public health data (NPI registry, drug labels, recalls, adverse events), and open-source model sizing with VRAM estimates and Hugging Face search. Connects over Streamable HTTP with OAuth 2.1 or API keys, offering anonymous, free-key and paid Pro call quotas.

Enables any MCP client to search and read 127 FDA guidance documents on clinical research, with tools for ranked passage search, document retrieval, and metadata lookup.

Enables LLM-based agents and MCP-compatible clients to perform full CRUD operations on FHIR resources, plus AI-powered document ingestion, semantic search, and LOINC terminology lookup. Users can query and manipulate clinical data using natural-language prompts.

Enables read-only local retrieval of medical-device and orthopedic standards via MCP tools, supporting searches by standard number, name, region, committee, topic, official links, and related regulations without network access or credentials.

Enables LLM-based agents and MCP-compatible clients to perform full CRUD operations on FHIR resources, query and manipulate clinical data via natural-language prompts, and support document processing, semantic search, and LOINC terminology lookup through a standardized interface.

Enables LLM-based agents and MCP-compatible clients to query and manipulate clinical data on a FHIR-compliant backend through natural-language prompts, including CRUD operations, document ingestion, semantic search, and LOINC terminology lookup.