Parallel Search MCP

ai.parallelPublished by parallel.aiOfficial publisherv1.0.0Updated Oct 24, 2026

The best web search for your AI Agent

VerifiedStreamable HTTPWeb executableWeb Search & ScrapingKnowledge & Memory

Overview

AI-generated overview

A hosted web search and page-fetch server that lets an assistant find current information and read web pages, with free anonymous access.

What you can do
It exposes two tools: web_search, which searches the web and returns relevant excerpts with source links, and web_fetch, which reads a specific URL and returns page content for the assistant to use. Search results often answer the question directly; the assistant can fetch a page when it needs more detail. Authenticated connections can also configure search behavior such as search modes, result counts and domain filters, while anonymous requests ignore those settings.
When to use it
Useful when an assistant needs current documentation, fact-checking, or the contents of a specific web page without leaving the chat. It suits personal agents, hobby projects and exploration on the free tier, and production or higher-volume use through an authenticated account.
Requirements
A remote Streamable HTTP endpoint; no local runtime, package, account or API key is needed for the free tier. The client must support remote MCP servers over HTTP. Higher limits and configurable search behavior require a Parallel account connected through the Parallel Search connector.
Before you install
Search queries and requested URLs are sent to Parallel and handled under its terms and privacy policy. The free tier is rate-limited. Authenticated usage is billed under the account's pricing and limits. The documentation says not to add an API key or point the plugin at an authenticated endpoint, and to keep credentials out of issue reports.

Installation

In SourceWeft

  1. Open Parallel Search MCP in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/ai.parallel%2Fsearch-mcp/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "parallel-search": {
      "type": "http",
      "url": "https://search-mcp.parallel.ai/mcp"
    }
  }
}

README

[Parallel]

Parallel Search MCP

Free web search for your coding agent.

Find current documentation, check facts, and read web pages without leaving your agent. No account or API key needed to get started.

Ask your agent to install

Copy this into your coding agent:

text
Install Parallel's free Search MCP in the coding agent I'm using now.Identify your client and use its native MCP setup instructions:https://docs.parallel.ai/integrations/mcp/search-mcp
Server name: parallel-searchServer URL: https://search.parallel.ai/mcpTransport: Streamable HTTPAuthentication: none. No account, API key, or Parallel CLI is needed.
Preserve existing settings and reuse any connection to this endpoint.Tell me if a restart or approval is required.
Once connected, check that web_search and web_fetch are available.Use Parallel to find the official FastAPI response-model documentationand return a source link. Report anything you couldn't verify.

Install in Cursor · Install in VS Code · Manual setup · Documentation

Manual setup

Choose your client. You only need one of these options.

Codex

bash
codex mcp add parallel-search --url https://search.parallel.ai/mcp

Start a new Codex session and run /mcp to check the connection. See the Codex MCP guide for configuration options.

Gemini CLI

bash
gemini extensions install https://github.com/parallel-web/search-mcp

Restart Gemini CLI and run /mcp to check that parallel-search is connected. The extension uses Streamable HTTP and requires no Parallel account or API key. If you already configured parallel-search manually, that configuration takes precedence over the extension. See the extension guide for installation and update options.

Hermes Agent

Hermes already includes Parallel in its native web providers. Choose Parallel Free (keyless) in hermes tools to use that integration.

This optional package adds a direct connection to Parallel's MCP tools and the bundled setup skill. It leaves Hermes's native web-provider selection unchanged. It's available in the Hermes plugin catalog. Install and enable it with:

bash
hermes plugins install parallel-searchhermes plugins enable parallel-search

Start a new session so Hermes loads the enabled package. Ask Hermes to use the Parallel MCP web_search tool to find official documentation, then web_fetch to read a page. Use skills_list to discover the namespaced parallel-search-setup skill. No Parallel account, API key, or CLI is required.

Use either this package or a manually configured connection to https://search.parallel.ai/mcp to avoid duplicate MCP tools. Disable or remove the package with hermes plugins disable parallel-search or hermes plugins remove parallel-search. Update through hermes plugins update parallel-search; catalog updates use reviewed commit pins.

OpenCode

Merge this into your project's opencode.json:

json
{  "$schema": "https://opencode.ai/config.json",  "mcp": {    "parallel-search": {      "type": "remote",      "url": "https://search.parallel.ai/mcp",      "oauth": false    }  }}

Restart OpenCode and run opencode mcp list to check the connection. See the OpenCode MCP guide for details.

OpenClaw

Follow the OpenClaw setup guide to install the Parallel plugin, then set tools.web.search.provider to parallel-free. No Parallel account or API key is needed.

Cursor, VS Code, and other clients

Use this remote MCP server URL:

text
https://search.parallel.ai/mcp

Select HTTP or Streamable HTTP if your client asks for a transport. Follow the client-specific instructions for the right settings file and format.

Try it

Ask your agent:

Use Parallel to find the official FastAPI docs for response models. Show me a small example and link to the source.

Or try:

Use Parallel to check the latest stable Node.js release and its release notes. Cite the official sources.

Use Parallel to read https://modelcontextprotocol.io/introduction and explain how MCP connects an agent to tools.

Your agent can use two tools:

ToolWhat it does
web_searchSearches the web and returns relevant excerpts with source links.
web_fetchReads specific URLs and returns page content for your agent to use.

Search results often contain enough information to answer. Your agent can fetch a page when it needs more detail.

Free access and higher limits

This plugin is anonymous by design: both tools work with no account, API key, or login, subject to free-tier rate limits. The free tier is intended for personal agents, hobby projects, and exploration.

For higher limits, usage analytics, and production workloads, create an account at platform.parallel.ai and connect the Parallel Search connector, which signs in with that account. Authenticated usage is billed under your account's pricing and limits — see parallel.ai for pricing. Don't add an API key or point this plugin at an authenticated endpoint; the connector handles sign-in natively.

Both tiers include the same two tools. Authenticated connections also let you configure search behavior, including search modes, result counts, and domain filters. Anonymous requests ignore these settings.

Privacy and terms

Parallel hosts the service. Search queries and requested URLs are sent to Parallel and handled under the Customer Terms and Privacy Policy. The server only receives what the tools send it — search queries and the URLs you ask it to fetch — and does not read your conversation, files, or other context.

Troubleshooting

  • Tools aren't showing up: start a new agent session and check its MCP connection list. Confirm the URL is https://search.parallel.ai/mcp.
  • Asked to log in to Parallel: check the URL. /mcp supports free access; /mcp-oauth requires authentication. Approving an MCP connection in your client is separate from logging in to Parallel.
  • Hit a rate limit: wait before retrying, or move to an authenticated Parallel account via the Parallel Search connector for higher limits.
  • Still stuck: check the setup guide or open an issue. Include your client, version, and error message. Leave out API keys and other credentials.

Support and security

About this repo

This is the official GitHub home for Parallel's hosted Search MCP. It contains this guide and Codex, Cursor, Gemini CLI, and Hermes packages. Codex and Cursor share .mcp.json; Hermes uses the portable Agent Plugins v1 plugin.json and mcp.json files and loads the setup skill (skills/parallel-search-setup/SKILL.md) on demand for connection checks, usage guidance, troubleshooting, and higher-limit options. You can suggest documentation fixes and examples here. The search service runs on Parallel's infrastructure; cloning this repo gives you the documentation and configuration files.

For CLI-based search, research, and enrichment, see the separate Parallel CLI skills plugin.

The files in this repo are MIT licensed. Hosted service usage is covered by the Customer Terms linked above.

Source: README.md at commit ac8e207

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

1
  1. v1.0.0LatestSep 16, 2026

Score

85% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

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