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DS Core Open API▌

silverjava

by silverjava

DS Core Open API: Securely search and retrieve patient records, DICOM studies, digital impressions, and clinical documen

Integrates with DS Core Open API healthcare system to provide search and retrieval of patient records, DICOM studies, digital impressions, and clinical documents with pagination, filtering, and comprehensive medical data access.

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Four specialized healthcare domains coveredDICOM imaging support includedRequires DS Core API credentials

best for

  • / Healthcare AI applications needing patient data access
  • / Medical record management and search systems
  • / Clinical workflow automation tools
  • / Healthcare data integration projects

capabilities

  • / Search patients by name or card ID
  • / Retrieve complete patient medical records
  • / List and fetch healthcare documents with metadata
  • / Access DICOM medical imaging studies
  • / Manage digital dental impression data
  • / Filter results with pagination support

what it does

Connects AI models to DS Core's healthcare API to search and retrieve patient records, medical documents, DICOM imaging studies, and dental scan data.

about

DS Core Open API is a community-built MCP server published by silverjava that provides AI assistants with tools and capabilities via the Model Context Protocol. DS Core Open API: Securely search and retrieve patient records, DICOM studies, digital impressions, and clinical documen It is categorized under ai ml, developer tools.

how to install

You can install DS Core Open API in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

DS Core Open API is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

DS Core Open API: Securely search and retrieve patient records, DICOM studies, digital impressions, and clinical documen

TL;DR: Connects AI models to DS Core's healthcare API to search and retrieve patient records, medical documents, DICOM imaging studies, and dental scan data.

What it does

  • Search patients by name or card ID
  • Retrieve complete patient medical records
  • List and fetch healthcare documents with metadata
  • Access DICOM medical imaging studies
  • Manage digital dental impression data
  • Filter results with pagination support

Best for

  • Healthcare AI applications needing patient data access
  • Medical record management and search systems
  • Clinical workflow automation tools
  • Healthcare data integration projects

Highlights

  • Four specialized healthcare domains covered
  • DICOM imaging support included
  • Requires DS Core API credentials

FAQ

What is the DS Core Open API MCP server?
DS Core Open API is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for DS Core Open API?
This profile displays 64 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.

Use Cases▌

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

✓

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

✓

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

✓

Complete complex tasks end-to-end without manual steps

Implementation Guide▌

Prerequisites

  • ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • ›Basic understanding of MCP architecture and capabilities
  • ›Access credentials for integrated services (if required)
  • ›Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • ⚠MCP server not loading: Check config syntax, verify installation
  • ⚠Connection errors: Check network, firewall, credentials
  • ⚠Feature not working: Read server docs, check required parameters
  • ⚠Performance issues: Monitor resource usage, check for network latency
  • ⚠Conflicts with other servers: Check port assignments, namespace collisions

Best Practices▌

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • −Don't grant overly permissive access to MCP servers
  • −Don't skip reading security considerations in docs
  • −Don't expose sensitive data without proper controls
  • −Don't run untrusted MCP servers without code review
  • −Don't ignore error messages—investigate root cause

💡 Pro Tips

  • ★Combine multiple MCP servers for powerful workflows
  • ★Create custom MCP servers for your specific needs
  • ★Share successful configurations with team
  • ★Use MCP inspector for debugging
  • ★Join MCP community for tips and troubleshooting

Technical Details▌

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This▌

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration▌

  • →Tool composition: Chain multiple MCP tools in workflows
  • →Context augmentation: Provide AI with relevant external data
  • →Action delegation: Let AI execute tasks on external systems
  • →Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.4★★★★★64 reviews
  • ★★★★★Kaira Rao· Dec 28, 2024

    According to our notes, DS Core Open API benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • ★★★★★Xiao Mehta· Dec 12, 2024

    We wired DS Core Open API into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • ★★★★★Kiara Huang· Dec 4, 2024

    Strong directory entry: DS Core Open API surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • ★★★★★Kabir Huang· Nov 23, 2024

    We wired DS Core Open API into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • ★★★★★Sophia Ndlovu· Nov 19, 2024

    I recommend DS Core Open API for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • ★★★★★William Singh· Nov 11, 2024

    DS Core Open API is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • ★★★★★Kofi Anderson· Nov 3, 2024

    Strong directory entry: DS Core Open API surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • ★★★★★Kofi Mehta· Oct 22, 2024

    Useful MCP listing: DS Core Open API is the kind of server we cite when onboarding engineers to host + tool permissions.

  • ★★★★★Tariq Verma· Oct 14, 2024

    DS Core Open API reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • ★★★★★Zara Diallo· Oct 10, 2024

    We evaluated DS Core Open API against two servers with overlapping tools; this profile had the clearer scope statement.

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