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Eka MCP Server: Unmatched Efficiency & Enterprise Security - MCP Implementation

Eka MCP Server: Unmatched Efficiency & Enterprise Security

Eka MCP Server: Empower mission-critical infrastructure with unmatched efficiency, scalability, and enterprise-grade security. Built for reliability—no compromise.

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About Eka MCP Server

Eka MCP Server Features

Eka MCP Server FAQ

好的,我需要处理用户的请求,生成一个符合要求的HTML页面。首先,用户给了一个标题和原始文本,要求根据这些内容创建一个全新的HTML页面主体,不要页头页尾,链接要加nofollow。主题需要从原始内容总结,使用指定的h2标题,并且内容不能直接复制,要像专业技术人员写的。 首先,我需要仔细阅读原始文本,理解其核心内容。原始文本主要介绍Eka MCP Server,强调其在医疗领域的高效和安全性,功能包括减少AI的幻觉,提供医疗准确性,无缝工作流程,开放生态系统等。还有安装步骤、调试方法、工具详情、FAQ等。 接下来,用户要求的标题结构是五个h2,分别是: 1. What is Eka MCP Server: Unmatched Efficiency & Enterprise Security? 2. How to use Eka MCP Server: Unmatched Efficiency & Enterprise Security? 3. Key Features of Eka MCP Server: Unmatched Efficiency & Enterprise Security? 4. Use cases of Eka MCP Server: Unmatched Efficiency & Enterprise Security? 5. FAQ from Eka MCP Server: Unmatched Efficiency & Enterprise Security? 我需要将原始内容重新组织到这些标题下,确保每个部分都有详细内容,不直接复制。例如,"What is"部分需要介绍产品是什么,解决的问题,核心优势。"How to use"要涵盖安装步骤、配置、调试方法。"Key Features"需要总结主要特点,如医疗准确性、无缝工作流、API集成等。"Use cases"要具体说明应用场景,比如药物相互作用检查、治疗协议查询等。FAQ则要回答常见问题,如是否需要账户,费用,支持的LLM等。 需要注意的是,用户要求不要页头页尾,所以HTML结构只需body内的内容。所有外部链接要添加nofollow属性,比如在a标签中加入rel="nofollow"。另外,内容要像专业写作人员写的,避免AI生成的痕迹,可能需要使用更自然的术语和结构。 现在开始逐个处理每个部分: 1. **What is** 部分:需要简明介绍Eka MCP Server的定义、目标用户(医疗专业人员)、解决的问题(AI幻觉,效率问题),以及核心优势(效率和安全性)。 2. **How to use**:原始文本中有安装步骤,比如获取API凭证,配置CLaude模型,安装软件包,配置凭据,启动服务。调试部分提到使用Cursor或Windsurf应用,以及日志查看。需要将这些步骤分点列出,但用更自然的叙述方式。 3. **Key Features**:需要总结原始文本中的特点,如减少幻觉、医疗数据准确性、无缝集成、API驱动的工具、企业级安全等。每个要点详细说明。 4. **Use Cases**:原始文本中的工具部分可以转化为用例,比如药物相互作用检查、治疗协议查询,可能还可以扩展其他应用场景,如快速决策支持,合规保障等。 5. **FAQ**:直接从原始FAQ改编,确保问题答案准确,但用不同的措辞。 在编写过程中要注意: - 避免直接复制原始文本的句子结构,需要重新组织语言。 - 确保所有外部链接(如GitHub、API文档、应用链接)添加nofollow。 - 使用适当的HTML标签,比如h2,p,ul,li,a等,保持结构清晰。 - 检查是否有遗漏的重要信息,比如API的使用步骤,工具的具体功能等。 可能遇到的困难: - 如何将原始内容中的技术细节转化为用户指定的标题下的内容,同时保持自然流畅。 - 确保所有链接正确添加nofollow属性,避免遗漏。 - 保持专业和技术写作的语气,而不是AI的生硬结构。 现在开始编写每个部分的内容: 对于"What is"部分,可以这样写: Eka MCP Server是一个专为医疗领域设计的高效且安全的AI辅助工具,旨在通过减少AI幻觉和提供精准的医疗数据来提升临床决策效率。它为医疗专业人员提供了一个集成平台,确保获取权威的治疗指南和实时药物信息,同时保障数据安全和合规性。 在"How to use"中,步骤可能包括: 1. 获取API凭证:注册并登录到eka.care获取API密钥。 2. 环境配置:安装必要的软件包,如Python依赖。 3. 配置CLaude模型:设置模型参数并集成MCP支持。 4. 启动服务:运行服务器并验证连接。 5. 使用Cursor或Windsurf应用进行调试,检查日志。 Key Features需要分点列出,每个点有简短说明: - 减少AI幻觉:通过医疗数据校准,确保输出准确性。 - 实时药物交互检查:利用API验证药物组合的安全性。 - 标准化治疗协议:访问权威机构发布的诊疗指南。 - 端到端加密:保障医疗数据传输安全。 - 开源架构:灵活定制,适应不同医疗机构需求。 Use Cases可以包括: - 快速药物相互作用评估:在开药前检查药物间的相互作用。 - 个性化治疗方案制定:根据患者情况检索适用的治疗协议。 - 实时指南更新:确保临床决策基于最新医疗标准。 FAQ部分保持原问题,但用不同的表达方式: Q: 是否需要eka.care账户才能使用?A: 是的,需通过注册获取API凭证。 Q: 服务收费吗?A: 服务器代码开源免费,但API访问需有效凭证,具体费用请咨询。 Q: 哪些LLM支持MCP?A: 目前支持Anthropic的Claude系列及Cursor、Windsurf应用。 最后,确保所有外部链接都带有nofollow,例如: GitHub

Content

Eka MCP Server

License: MIT PyPI - Version Downloads

Overview

Healthcare professionals frequently need to switch context to access additional information while treating patients. While AI can serve as a bridge to provide this information, there is an inherent risk of hallucination. The Eka MCP Server addresses this challenge by:

  • Grounding LLM responses in curated medical information from eka.care
  • Providing healthcare-specific tools validated by in-house doctors
  • Enabling secure access to real-time medication data and treatment protocols for the LLM

Key Benefits:

  • 🩺 Medical Accuracy: Ground AI responses in verified healthcare information
  • 🔄 Seamless Workflow: Access critical information without context switching
  • 🛡️ Reduced Hallucinations: Rely on curated medical data rather than AI's general knowledge
  • 🌐 Open Ecosystem: Part of the growing MCP open standard

Get Started

Get your developer key from eka.care

You can obtain the eka-api-host, client-id, and client-token from developer.eka.care or reach out to us on [email protected]

Installation and Setup for Claude Desktop

  1. Install UV - https://docs.astral.sh/uv/getting-started/installation/#installation-methods

  2. Install Claude desktop application - https://claude.ai/download

  3. Locate the configuration file:

* **macOS** : `/Library/Application\ Support/Claude/claude_desktop_config.json`
* **Windows** : `%APPDATA%/Claude/claude_desktop_config.json`
  1. Modify the configuration file with the following settings:
{
  "mcpServers": {
    "eka-mcp-server": {
      "command": "uvx",
      "args": [
        "eka_mcp_server",
        "--eka-api-host",
        "<eka_api_host>",
        "--client-id",
        "<client_id>",
        "--client-secret",
        "<client_secret>"
      ]
    }, 
  }
}
  1. Replace the placeholder values:
    * <eka_api_host>: Eka API host URL
    * <client_id>: Your client ID
    * <client_secret>: Your client secret

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we recommend using the MCP Inspector.

You can launch the MCP Inspector via npm with this command:

npx @modelcontextprotocol/inspector uv --directory <eka_mcp_server_folder_path> run eka_assist

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.

Tools

EKA MCP server tools are curated by the in-house doctors at eka.care and have been validated on an internal set of questionnaire

Medications tool suite

Medication Understanding tool

Tool definition here https://github.com/eka-care/eka_mcp_server/blob/14ea2d17ac4d93e619583a4b719a925180d8ff7d/src/eka_assist/mcp_server.py#L113-L120

Access comprehensive information about drugs from a corpus of drugs based on the drug name or generic composition and filtered further through the drug form and volume.

Medication Understanding

APIs required for this tool

Medication Interaction

Tool definition here https://github.com/eka-care/eka_mcp_server/blob/14ea2d17ac4d93e619583a4b719a925180d8ff7d/src/eka_assist/mcp_server.py#L122-L126

Check for potential interactions between drugs based on the X,A,B,C,D severity levels

  • Medication Interaction

APIs required for this tool

Treatment Protocols

Tool definition here https://github.com/eka-care/eka_mcp_server/blob/14ea2d17ac4d93e619583a4b719a925180d8ff7d/src/eka_assist/mcp_server.py#L128-L174

Standardized guidelines, procedures, and decision pathways for healthcare professionals are published by medical bodies. They serve as comprehensive roadmaps for clinical care, ensuring consistent and evidence-based treatment approaches.

Current Coverage:

  • 175 medical conditions/tags
  • 180 treatment protocols
  • Multiple authoritative publishers

Treatment Protocols Workflow

  1. For any given query, the LLM has to decide if the tag is supported or not through this API. During the init of the tool, we fetch the supported conditions.
  2. Then, for the given tag, the LLM has to get the publishers that address that tag through this API.
  3. Finally, with the tag, publisher and query, we fetch the relevant information from the repository of publishers through this API.

APIs required for this tool

  1. http://developer.eka.care/api-reference/eka_mcp/protocols/tags
  2. http://developer.eka.care/api-reference/eka_mcp/protocols/publishers_by_tag
  3. http://developer.eka.care/api-reference/eka_mcp/protocols/search

Tag Confirmation Publisher Confirmation Treatment Protocol

Bugs and Issue Reporting

Please report any issues or bugs on the GitHub issue tracker.

FAQ

Q: Can I use this without an eka.care account?

A: No, you need valid API credentials from eka.care to access the medical information.

Q: Is this service free?

A: While the MCP server code is open-source, access to eka.care's APIs required valid credentials.

Q: Which LLMs support MCP natively?

A: Currently, Anthropic's Claude models have native MCP support and also Cursor and Windsurf applications.

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