Skip to main content
Glama

health_topics

Access evidence-based health information on specific topics using the Healthcare MCP Server. Search for reliable content in English or Spanish to support informed decision-making.

Instructions

Get evidence-based health information on various topics

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageNoLanguage for content (en or es)en
topicYesHealth topic to search for information

Implementation Reference

  • The main handler function implementing the health_topics tool logic: validates input, checks cache, queries Health.gov API, processes and cleans topic data, caches results, and formats success/error responses.
    async getHealthTopics(topic, language = 'en') {
      // Input validation
      if (!topic) {
        return this.formatErrorResponse('Topic is required');
      }
      
      // Validate language
      if (!['en', 'es'].includes(language.toLowerCase())) {
        language = 'en';
      }
      
      // Create cache key
      const cacheKey = this.getCacheKey('health_topics', topic, language);
      
      // Check cache first
      const cachedResult = this.cache.get(cacheKey);
      if (cachedResult) {
        console.error(`Cache hit for Health Topics search: ${topic}`);
        return cachedResult;
      }
      
      try {
        console.error(`Searching Health Topics for: ${topic}, language: ${language}`);
        
        // Build API URL with parameters for topicsearch
        const params = {
          keyword: topic,
          lang: language
        };
        
        const url = this.buildUrl(`${this.baseUrl}/topicsearch.json`, params);
        
        // Make the request
        const data = await this.makeRequest(url);
        
        // Process the response
        let topics = [];
        let totalResults = 0;
        
        if (data && data.Result && data.Result.Resources) {
          const rawTopics = data.Result.Resources.Resource || [];
          totalResults = rawTopics.length;
          
          // Process each topic
          for (const rawTopic of rawTopics) {
            const processedTopic = {
              title: rawTopic.Title || '',
              url: rawTopic.AccessibleVersion || rawTopic.LastUpdate || '',
              last_updated: rawTopic.LastUpdate || '',
              section: rawTopic.Sections?.Section?.[0]?.Title || '',
              description: rawTopic.Sections?.Section?.[0]?.Description || '',
              content: []
            };
            
            // Extract content from sections
            if (rawTopic.Sections && rawTopic.Sections.Section) {
              for (const section of rawTopic.Sections.Section) {
                if (section.Content) {
                  // Clean and limit content
                  let content = section.Content;
                  if (typeof content === 'string') {
                    // Remove HTML and limit size
                    content = content.replace(/<[^>]*>/g, ' ').replace(/\s+/g, ' ').trim();
                    if (content.length > 500) {
                      content = content.substring(0, 497) + '...';
                    }
                    if (content) {
                      processedTopic.content.push(content);
                    }
                  }
                }
              }
            }
            
            topics.push(processedTopic);
          }
        }
        
        // Create result object
        const result = this.formatSuccessResponse({
          search_term: topic,
          language: language,
          total_results: totalResults,
          health_topics: topics
        });
        
        // Cache for 24 hours (86400 seconds)
        this.cache.set(cacheKey, result, 86400);
        
        return result;
        
      } catch (error) {
        console.error(`Error searching Health Topics: ${error.message}`);
        return this.formatErrorResponse(`Error searching health topics: ${error.message}`);
      }
    }
  • Input schema definition for the health_topics tool, specifying required 'topic' parameter and optional 'language' (en/es).
    inputSchema: {
      type: "object",
      properties: {
        topic: {
          type: "string",
          description: "Health topic to search for information",
        },
        language: {
          type: "string",
          description: "Language for content (en or es)",
          enum: ["en", "es"],
          default: "en",
        },
      },
      required: ["topic"],
    },
  • Tool registration in the main CallToolRequestSchema handler switch statement, dispatching calls to the HealthTopicsTool.getHealthTopics method.
    case "health_topics":
      result = await healthTopicsTool.getHealthTopics(args.topic, args.language);
  • server/index.js:31-31 (registration)
    Instantiation of the HealthTopicsTool instance used by the server.
    const healthTopicsTool = new HealthTopicsTool(cacheService);
  • Inline input validation schema enforcing required topic and valid language (en/es).
    // Input validation
    if (!topic) {
      return this.formatErrorResponse('Topic is required');
    }
    
    // Validate language
    if (!['en', 'es'].includes(language.toLowerCase())) {
      language = 'en';
    }

Tool Definition Quality

Score is being calculated. Check back soon.

Install Server

Other Tools

Related Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Cicatriiz/healthcare-mcp-public'

If you have feedback or need assistance with the MCP directory API, please join our Discord server