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altinakseven

Tavily MCP Server

by altinakseven

web_search

Search the web to find relevant information with content snippets and direct answers. Configure search depth, result counts, and domain filtering for precise results.

Instructions

Search the web using Tavily API. Returns relevant search results with content snippets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe search query to execute
search_depthNoThe depth of the search (basic or advanced)basic
include_answerNoWhether to include a direct answer to the query
max_resultsNoMaximum number of search results to return
include_domainsNoList of domains to include in search
exclude_domainsNoList of domains to exclude from search

Implementation Reference

  • The handleWebSearch method executes the web search tool logic. It validates input arguments, makes an API call to Tavily search service, formats the response into readable markdown, and returns the results as MCP content.
    public async handleWebSearch(args: any) {
      try {
        const searchRequest: TavilySearchRequest = {
          query: args.query,
          search_depth: args.search_depth || "basic",
          include_answer: args.include_answer !== false,
          include_raw_content: false,
          max_results: args.max_results || 5,
          include_domains: args.include_domains,
          exclude_domains: args.exclude_domains,
        };
    
        const response = await axios.post<TavilyResponse>(
          "https://api.tavily.com/search",
          searchRequest,
          {
            headers: {
              "Content-Type": "application/json",
              "Authorization": `Bearer ${this.apiKey}`,
            },
          }
        );
    
        const data = response.data;
        
        // Format the response for better readability
        let formattedResponse = `# Search Results for: "${data.query}"\n\n`;
        
        if (data.answer) {
          formattedResponse += `## Direct Answer\n${data.answer}\n\n`;
        }
        
        formattedResponse += `## Search Results\n\n`;
        
        data.results.forEach((result, index) => {
          formattedResponse += `### ${index + 1}. ${result.title}\n`;
          formattedResponse += `**URL:** ${result.url}\n`;
          if (result.published_date) {
            formattedResponse += `**Published:** ${result.published_date}\n`;
          }
          formattedResponse += `**Score:** ${result.score}\n\n`;
          formattedResponse += `${result.content}\n\n`;
          formattedResponse += `---\n\n`;
        });
    
        if (data.follow_up_questions && data.follow_up_questions.length > 0) {
          formattedResponse += `## Follow-up Questions\n`;
          data.follow_up_questions.forEach((question, index) => {
            formattedResponse += `${index + 1}. ${question}\n`;
          });
        }
    
        return {
          content: [
            {
              type: "text",
              text: formattedResponse,
            },
          ],
        };
      } catch (error) {
        if (axios.isAxiosError(error)) {
          const errorMessage = error.response?.data?.error || error.message;
          throw new Error(`Tavily API error: ${errorMessage}`);
        }
        throw new Error(`Search failed: ${error}`);
      }
    }
  • TypeScript interfaces defining the structure for TavilySearchRequest, TavilySearchResult, and TavilyResponse. These provide type safety and validation for the API request and response data.
    interface TavilySearchRequest {
      query: string;
      search_depth?: "basic" | "advanced";
      include_answer?: boolean;
      include_raw_content?: boolean;
      max_results?: number;
      include_domains?: string[];
      exclude_domains?: string[];
    }
    
    interface TavilySearchResult {
      title: string;
      url: string;
      content: string;
      score: number;
      published_date?: string;
    }
    
    interface TavilyResponse {
      answer?: string;
      query: string;
      response_time: number;
      images?: string[];
      follow_up_questions?: string[];
      results: TavilySearchResult[];
    }
  • src/index.ts:64-111 (registration)
    Registers the web_search tool with the MCP server using ListToolsRequestSchema. Defines the tool name, description, and complete inputSchema with parameters like query, search_depth, max_results, and domain filters.
    this.server.setRequestHandler(ListToolsRequestSchema, async () => {
      return {
        tools: [
          {
            name: "web_search",
            description: "Search the web using Tavily API. Returns relevant search results with content snippets.",
            inputSchema: {
              type: "object",
              properties: {
                query: {
                  type: "string",
                  description: "The search query to execute",
                },
                search_depth: {
                  type: "string",
                  enum: ["basic", "advanced"],
                  description: "The depth of the search (basic or advanced)",
                  default: "basic",
                },
                include_answer: {
                  type: "boolean",
                  description: "Whether to include a direct answer to the query",
                  default: true,
                },
                max_results: {
                  type: "number",
                  description: "Maximum number of search results to return",
                  default: 5,
                  minimum: 1,
                  maximum: 20,
                },
                include_domains: {
                  type: "array",
                  items: { type: "string" },
                  description: "List of domains to include in search",
                },
                exclude_domains: {
                  type: "array",
                  items: { type: "string" },
                  description: "List of domains to exclude from search",
                },
              },
              required: ["query"],
            },
          },
        ],
      };
    });
  • src/index.ts:113-118 (registration)
    Routes tool execution requests to the appropriate handler. When a CallToolRequestSchema request comes in for 'web_search', it invokes the handleWebSearch method.
    this.server.setRequestHandler(CallToolRequestSchema, async (request) => {
      if (request.params.name === "web_search") {
        return await this.handleWebSearch(request.params.arguments);
      }
      throw new Error(`Unknown tool: ${request.params.name}`);
    });
  • JSON Schema definition for the web_search tool input parameters. Specifies required fields (query), optional fields with defaults (search_depth, include_answer, max_results), and array fields for domain filtering.
    inputSchema: {
      type: "object",
      properties: {
        query: {
          type: "string",
          description: "The search query to execute",
        },
        search_depth: {
          type: "string",
          enum: ["basic", "advanced"],
          description: "The depth of the search (basic or advanced)",
          default: "basic",
        },
        include_answer: {
          type: "boolean",
          description: "Whether to include a direct answer to the query",
          default: true,
        },
        max_results: {
          type: "number",
          description: "Maximum number of search results to return",
          default: 5,
          minimum: 1,
          maximum: 20,
        },
        include_domains: {
          type: "array",
          items: { type: "string" },
          description: "List of domains to include in search",
        },
        exclude_domains: {
          type: "array",
          items: { type: "string" },
          description: "List of domains to exclude from search",
        },
      },
      required: ["query"],
    },
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