Parallel Search MCP

Server Details

The best web search for your AI Agent

See and control every tool call

Log every tool call with full inputs and outputs

Control which tools are enabled per connector

Manage credentials once, use from any MCP client

Monitor uptime and get alerted when servers go down

2 tools

web_fetchInspect

Purpose: Fetch and extract relevant content from specific web URLs.

Ideal Use Cases:

ParametersJSON Schema

Name	Required	Description	Default
`urls`	Yes	List of URLs to extract content from. Must be valid HTTP/HTTPS URLs. Maximum 10 URLs per request.
`objective`	No	Natural-language description of what information you're looking for from the URLs. Limit to 200 characters.

web_search_previewInspect

Purpose: Perform web searches and return results in an LLM-friendly format and with parameters tuned for LLMs.

ParametersJSON Schema

Name	Required	Description	Default
`objective`	Yes	Natural-language description of what the web search is trying to find. Try to make the search objective atomic, looking for a specific piece of information. May include guidance about preferred sources or freshness.
`search_queries`	Yes	List of keyword search queries of 3-6 words, which may include search operators. The search queries should be related to the objective. Limited to 3 entries of 100 characters each.

Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:

{
  "$schema": "https://glama.ai/mcp/schemas/connector.json",
  "maintainers": [
    {
      "email": "your-email@example.com"
    }
  ]
}

The email address must match the email associated with your Glama account. Once verified, the connector will appear as claimed by you.

Last verification attempt failed. 2026-03-26 12:00

Failed to fetch .well-known/glama.json: HTTP 401

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