Skip to main content
Glama
DumplingAI

Dumpling AI MCP Server

Official
by DumplingAI

search-knowledge-base

Find relevant information by searching a knowledge base with specific queries and result counts.

Instructions

Search a knowledge base for relevant information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
knowledgeBaseIdYesKnowledge base ID
queryYesSearch query
resultCountNoNumber of results

Implementation Reference

  • Handler function that sends a POST request to the external API endpoint `/api/v1/query-knowledge-base` using the DUMPLING_API_KEY for authentication, and returns the response as formatted JSON text.
    async ({ knowledgeBaseId, query, resultCount }) => {
      const apiKey = process.env.DUMPLING_API_KEY;
      if (!apiKey) throw new Error("DUMPLING_API_KEY not set");
      const response = await fetch(
        `${NWS_API_BASE}/api/v1/query-knowledge-base`,
        {
          method: "POST",
          headers: {
            "Content-Type": "application/json",
            Authorization: `Bearer ${apiKey}`,
          },
          body: JSON.stringify({ knowledgeBaseId, query, resultCount }),
        }
      );
      if (!response.ok)
        throw new Error(`Failed: ${response.status} ${await response.text()}`);
      const data = await response.json();
      return { content: [{ type: "text", text: JSON.stringify(data, null, 2) }] };
    }
  • Zod schema defining the input parameters: knowledgeBaseId (required string), query (required string), resultCount (optional number with default 5).
    {
      knowledgeBaseId: z.string().describe("Knowledge base ID"),
      query: z.string().describe("Search query"),
      resultCount: z.number().optional().default(5).describe("Number of results"),
    },
  • src/index.ts:895-922 (registration)
    Registration of the 'search-knowledge-base' tool using server.tool(), including name, description, input schema, and inline handler function.
    server.tool(
      "search-knowledge-base",
      "Search a knowledge base for relevant information.",
      {
        knowledgeBaseId: z.string().describe("Knowledge base ID"),
        query: z.string().describe("Search query"),
        resultCount: z.number().optional().default(5).describe("Number of results"),
      },
      async ({ knowledgeBaseId, query, resultCount }) => {
        const apiKey = process.env.DUMPLING_API_KEY;
        if (!apiKey) throw new Error("DUMPLING_API_KEY not set");
        const response = await fetch(
          `${NWS_API_BASE}/api/v1/query-knowledge-base`,
          {
            method: "POST",
            headers: {
              "Content-Type": "application/json",
              Authorization: `Bearer ${apiKey}`,
            },
            body: JSON.stringify({ knowledgeBaseId, query, resultCount }),
          }
        );
        if (!response.ok)
          throw new Error(`Failed: ${response.status} ${await response.text()}`);
        const data = await response.json();
        return { content: [{ type: "text", text: JSON.stringify(data, null, 2) }] };
      }
    );

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/DumplingAI/mcp-server-dumplingai'

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