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  1. Home
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  3. Parallel Search MCP
Parallel Search MCP

Parallel Search MCP Integration for AI Agents

Parallel Search provides AI agents with real-time web search and research capabilities, returning relevant, source-backed results from across the internet. Search multiple queries, retrieve and extract webpage content, find specific information across sources, and gather structured evidence for deeper research and analysis.

v1.0.02 toolsNo auth
Open in ChatGPTChatGPT
Open in ClaudeClaude
Playground
VS CodeVS Code
Connected to Parallel Search MCP via MewCP.

Try asking

Encrypted at rest, isolated from the model

Resolved from an AES-256-GCM vault at the moment of the call and attached to the request — the model never sees the secrets.

Try asking

Everything Parallel Search MCP can do

Tools2

web_search

read

Purpose: Perform web searches and return LLM-friendly results, including excerpts that are usually sufficient to answer directly without a follow-up fetch. Ideal Use Cases: - Answering questions that require fresh or current information - Research, comparison, documentation, and troubleshooting questions - Broad tasks where multiple `search_queries` can be issued in a single call For multiple independent objectives, make one web_search call per objective concurrently. Put related query variations for the same objective in a single call's search_queries list.

web_fetch

read

Purpose: Fetch and extract relevant content from specific web URLs. Use only when web_search excerpts are insufficient for the task at hand. Ideal Use Cases: - The user asked about a specific URL or page - You need exact wording or quotes that excerpts may have truncated - You need full-page analysis (long article, document, or page structure) - web_search excerpts are conflicting or clearly insufficient to answer For multiple independent extraction objectives, make separate web_fetch calls concurrently. Put related URLs that share one objective in a single call.

Connect Parallel Search MCP to your agent

One endpoint, the same key, whichever client you use.

Apps

SDKs

Claude Desktop

Claude Desktop

~/Library/Application Support/Claude/claude_desktop_config.json (Mac) · %APPDATA%\Claude\claude_desktop_config.json (Windows)

JSON
{
  "mcpServers": {
    "mewcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://gateway.mewcp.com/personal/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer API_KEY"
      }
    }
  }
}

Replace API_KEY with your own key.

Already have an "mcpServers" section in your config? Just add the server entry inside it.

  1. 01Open Claude Desktop → Settings → Developer → "Edit Config"
  2. 02Paste the snippet inside the outer { } of the config file (merge with your existing "mcpServers" section if you have one)
  3. 03Save the file, then quit Claude Desktop completely and reopen it
  4. 04Start a new conversation — your tool will be available

One endpoint. Every service.

VS CodeAny agent
One Gateway

Firecrawl

API Key

Web Scrapper

No auth

Context.dev

API Key

Parallel Search MCP

No auth
VS CodeAny agent
One Gateway

Discovery, routing, credentials, tool scoping and execution logs all happen at the gateway→connections stay ACTIVE with no work from you

Built for AI agents

Parallel Search MCP runs through a gateway that holds the credentials, scopes the access and records every call.

Nothing to connect

  • Parallel Search MCP needs no credential, so there is no key to issue, store or rotate.
  • Add it to a toolset and start calling tools.

Credentials stay out of context

  • Parallel Search MCP credentials are resolved at the gateway and attached to the outbound call.

Ideas to start with

See all use cases
Research

Run Parallel AI Research

Ten research topics in, ten structured briefs out, run in parallel on Parallel AI's cloud.

Parallel AI
Read
Scheduling

Schedule an Interview Panel with Calendly

Find slots across four interviewer calendars, book the events, and email the candidate a clean schedule with links and interviewer one pagers.

Ready to connect Parallel Search MCP?

Managed auth, hosted MCP servers, and every Parallel Search MCP tool your agent needs.

Free to start.

  • The agent sees tool results, never a token.
  • Revoke an account and the next call stops working — no redeploy.
  • Scoped access, fully logged

    • Choose exactly which Parallel Search MCP tools an agent is allowed to call.
    • Every call is logged with its outcome, latency and which account it ran as.
    • Catalog changes are reviewed before they ship, so tool descriptions cannot shift under you.

    One endpoint for every server

    • Reach Parallel Search MCP through the same MCP endpoint as the rest of your toolset.
    • Tools are discovered on demand, so 2 tools do not fill the context window.
    • Stateless: no sessions to keep alive and no reconnect logic.
    Google CalendarGmailCalendly
    Read
    Meetings

    Sync Granola to Notion

    Every new Granola meeting lands as a deduped row in your Notion database, automatically.

    GranolaNotion
    Read