

Last month, we unveiled the Parallel Search API[Parallel Search API]($https://parallel.ai/blog/parallel-search-api) - a single endpoint purpose-built for AIs that takes in flexible search objectives and outputs high-density, LLM-ready search results with extended snippets. Today, we’re making that same capability available out of the box for any model that supports tool use, via the Parallel Search MCP Server.
The MCP Server exposes our Search API as a plug-and-play tool, giving LLMs instant access to real-time web knowledge with a simple configuration change. This replaces brittle, multi-step search stacks with a single, production-ready tool that delivers higher quality results at significantly lower cost.
The Search MCP server allows developers to easily integrate the Parallel Search API with any MCP-aware LLM, eliminating the complexity of custom API wrappers. The MCP Server delivers:
Adding Parallel Search to your LLM client is as simple as swapping in a simple tool definition:
123456789101112131415161718192021222324252627from openai import OpenAI
from openai.types import responses as openai_responses
PARALLEL_API_KEY = "your-api-key"
tools = [
openai_responses.tool_param.Mcp(
server_label="parallel_web_search",
server_url="https://mcp.parallel.ai/alpha/search_mcp",
headers={"x-api-key": PARALLEL_API_KEY},
type="mcp",
require_approval="never",
)
]
client = OpenAI()
resp = client.responses.create(
model="gpt-4o-mini",
input="What are the latest findings in fusion energy?",
tools=tools,
tool_choice="required",
)
print(resp)
``` from openai import OpenAIfrom openai.types import responses as openai_responses PARALLEL_API_KEY = "your-api-key" tools = [ openai_responses.tool_param.Mcp( server_label="parallel_web_search", server_url="https://mcp.parallel.ai/alpha/search_mcp", headers={"x-api-key": PARALLEL_API_KEY}, type="mcp", require_approval="never", )] client = OpenAI()resp = client.responses.create( model="gpt-4o-mini", input="What are the latest findings in fusion energy?", tools=tools, tool_choice="required",)print(resp) ```
Connect to the Parallel Search MCP Server through your MCP-compatible client and start accessing real-time web knowledge instantly. Get started in our Developer Platform[Developer Platform]($https://platform.parallel.ai/) or dive into the documentation[documentation]($https://docs.parallel.ai/features/remote-mcp).
By Parallel
July 14, 2025