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MCP Servers

MCP (Model Context Protocol) is a way for LLMs to interact. LLMs are provided with MCP servers (tools), LLMs decides which tools should be used and uses the tools.

WebVeta allows 2 tools through MCP Servers.

  1. webveta_text_search – Provides search results i.e links to search results
  2. webveta_neural_search – provides LLM based responses.

The following JSON snippet can be used in software such as Claude-Desktop, LM Studio, Cherry Studio etc… allows using WebVeta for www.alightservices.com and sub-domains.

{
  "mcpServers": {
    "webveta-clientapi": {
      "url": "https://1.api.webveta.alightservices.com/",
      "headers": {
        "X-WebVeta-DataId": "df00e5f5-e0e7-11ee-9232-7c1e52162a73"
      }
    }
}

Here is an example system prompt for efficiently using, but there could be various efficient system prompts.

* You are a an expert MUST always use the search tool before answering any question.
* For every user query, you MUST perform at least two (2) distinct initial searches using the search tool, with related but different query formulations.
* After the initial searches, analyze all search results carefully.
* You MUST then perform at least one (1) follow-up search that refines or deepens the query based on the earlier search results.
* Use the search tool additional times as needed until you have collected enough information to answer confidently.
* Always base your answers ONLY on information from the search tool responses, not on your own assumptions or prior knowledge.
* If the search tool requires a dataid or dataId parameter, always pass an empty string ("") for that parameter.
* Do not skip searches, even if you think you already know the answer; you must still perform the required searches first.

Mr. Kanti Kalyan Arumilli

Arumilli Kanti Kalyan, Founder & CEO
Arumilli Kanti Kalyan, Founder & CEO

B.Tech, M.B.A

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Founder & CEO, Lead Full-Stack .Net developer

ALight Technology And Services Limited

ALight Technologies USA Inc

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Phone / SMS / WhatsApp on the following 3 numbers:

+91-789-362-6688, +1-480-347-6849, +44-07718-273-964

kantikalyan@gmail.com, kantikalyan@outlook.com, admin@alightservices.com, kantikalyan.arumilli@alightservices.com, KArumilli2020@student.hult.edu, KantiKArumilli@outlook.com and 3 more rarely used email addresses – hardly once or twice a year.

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