Parallel MCP Server

by parallel Your server? Claim it

answering

Parallel is answering right now. Last checked 2 min ago. It exposes 2 tools.

Uptime history 47 days of history · worst day 92%

47 days agonow

97.8%

Uptime 24h

90 of 92 checks

Tools

read from the server

239 ms

Response time

average over 24h

open, no key

Access

streamable-http

What changed 1

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 9 September 2026. No other catalogue keeps this.

9 Sep a tool changed the parameters it asks for web_fetch

Parallel does not always answer

Over the last week it answered 97.7% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add mcp --transport http https://search.parallel.ai/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "mcp": {
      "url": "https://search.parallel.ai/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.mcp]
url = "https://search.parallel.ai/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "mcp": {
      "url": "https://search.parallel.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "mcp": {
      "url": "https://search.parallel.ai/mcp"
    }
  }
}

Available tools 2

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

web

web_fetch

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

web_search

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

Endpoints

URL	Transport	State	Latency	Checked
https://search.parallel.ai/mcp	streamable-http	answering	313 ms	2 min ago

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Parallel — questions

Answers built from our own checks of this server.

What can Parallel do?

It exposes 2 tools, read directly from the server on our last check. Among them: web_fetch, web_search. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Parallel working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 90 of 92 checks got a reply (97.8%), average response time 239 ms. The bar chart above shows every period we have measured.

How do I connect Parallel?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Parallel need an API key?

No. Parallel completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Parallel?

It answers our handshake in 239 ms on average, which is faster than 59% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.