parallel

Web search and page fetching through Parallel's hosted MCP server — free, no account or API key needed — plus CLI-backed deep research, data enrichment, entity discovery (FindAll), and web monitoring.

MCP connector

Server URL: https://search.parallel.ai/mcp
Login: None
Protocol: MCP 2026-07-28
Instructions: The search and fetch tools are read-only, idempotent, and safe to call concurrently. When several independent search or fetch objectives are already known, issue one tool call per objective concurrently; do not wait for one result before starting another. Batch related search queries or URLs that share a common objective into one call.
Use first for most factual, current-information, research, comparison, documentation, and troubleshooting questions.
The results include excerpts intended to be useful for answering directly. If the excerpts contain enough evidence, answer from them — do not fetch every search result by default. For broad tasks you can issue multiple search_queries in a single call rather than chaining calls.
Use when the user asks about a specific URL or page, needs exact wording or quotes, requests full-page analysis, or when search excerpts are conflicting or clearly insufficient.
Use only when excerpts are not enough: the user asked about a specific URL or page, you need exact wording or quotes, you need full-page analysis, or the excerpts are conflicting or clearly insufficient. Do not fetch every search result by default — search excerpts are usually answer-ready.
When you do fetch, you can pass multiple related URLs in one call along with a common objective; the tool will return the parts most relevant to it.
Use of this server is subject to the Parallel Customer Terms (https://parallel.ai/customer-terms) and Privacy Policy (https://parallel.ai/privacy-policy).

Tools

Reads data2

Skills

14 in the Claude listing

MCP connector

Server URL

https://search.parallel.ai/mcp

None

Protocol

MCP 2026-07-28

Instructions

The search and fetch tools are read-only, idempotent, and safe to call concurrently. When several independent search or fetch objectives are already known, issue one tool call per objective concurrently; do not wait for one result before starting another. Batch related search queries or URLs that share a common objective into one call.

Use first for most factual, current-information, research, comparison, documentation, and troubleshooting questions.

The results include excerpts intended to be useful for answering directly. If the excerpts contain enough evidence, answer from them — do not fetch every search result by default. For broad tasks you can issue multiple search_queries in a single call rather than chaining calls.

Use when the user asks about a specific URL or page, needs exact wording or quotes, requests full-page analysis, or when search excerpts are conflicting or clearly insufficient.

Use only when excerpts are not enough: the user asked about a specific URL or page, you need exact wording or quotes, you need full-page analysis, or the excerpts are conflicting or clearly insufficient. Do not fetch every search result by default — search excerpts are usually answer-ready.

When you do fetch, you can pass multiple related URLs in one call along with a common objective; the tool will return the parts most relevant to it.

Use of this server is subject to the Parallel Customer Terms (https://parallel.ai/customer-terms) and Privacy Policy (https://parallel.ai/privacy-policy).

Skills

14 in the Claude listing