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Parallel MCP Server

answering

Parallel is answering right now. Last checked 9 min ago. It exposes 2 tools.

Uptime history 90 days of history · worst day 90%
90 days agonow
100.0%
Uptime 24h
91 of 91 checks
2
Tools
read from the server
206 ms
Response time
average over 24h
open, no key
Access
streamable-http

What changed 4

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

24 Oct a tool changed the parameters it asks for web_search
5 Oct 2 tool descriptions were rewritten web_fetch, web_search
9 Sep a tool changed the parameters it asks for web_fetch

Nothing serious here today

Today is the operative word: we check Parallel every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 9 min ago.

run in your terminal
claude mcp add mcp --transport http https://search.parallel.ai/mcp
Settings → Connectors → Add custom connector, then paste this address
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
{
  "servers": {
    "mcp": {
      "type": "http",
      "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 For multiple independent extraction objectives, make separate web_fetch calls concurrently. Put related URLs that share one objective in a single call.
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 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.

Endpoints

URLTransportStateLatencyChecked
https://search.parallel.ai/mcp streamable-http answering 174 ms 9 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 91 of 91 checks got a reply (100.0%), average response time 206 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 in the form 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 206 ms on average, which is faster than 69% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.