James Collins - SerpApi

Build an AI Research Agent for Slack and Linear with SerpApi

Context switching slows developers as they jump between tools for answers. A research agent fixes this by searching, summarizing, and posting cited results directly in Slack or Linear, keeping work in one place.

AI Agents

Competitive Intelligence Agent: From Slides to Live Signals

Competitive intelligence often relies on outdated, scattered data. An AI agent streamlines this by combining live web signals with CRM context to generate up-to-date, sourced briefings—turning fragmented research into a single, actionable snapshot on demand.

mcp

How to use SerpApi engine schemas in SerpApi MCP to improve tool call quality

SerpApi’s MCP upgrade exposes engine schemas as resources, letting AI agents discover exact parameters for each search engine. This removes guesswork, reduces errors, and enables more reliable, structured tool calls for workflows like flights, shopping, and news.

AI Agents

Building a Sales Assistant with real-time market awareness and CRM insights

Sales teams often miss real-time signals because CRMs focus on past data. A Sales Assistant bridges this gap by combining CRM context with live web insights, delivering timely briefings and personalized outreach without manual research or context switching.

mcp

Integrating SerpApi MCP into Your Developer Workflow

Integrating SerpApi MCP into AI-assisted IDEs lets developers fetch live web data—docs, examples, vulnerabilities—directly in tools like VS Code or Cursor. This reduces context switching, keeps code guidance up-to-date, and turns AI assistants into real-time research partners.

mcp

Top 5 Practical Use Cases for SerpApi MCP Server in AI Agents

SerpApi MCP gives AI agents unified access to live search across multiple engines, returning structured JSON. Agents can use it for competitor analysis, trend tracking, customer support, product monitoring, and multi-agent workflows—enabling real-time, data-driven insights without custom APIs.

mcp

Introducing SerpApi’s MCP Server

Today, we are releasing an open-source Model Context Protocol (MCP) server that exposes our web search API to AI agents and developers through a familiar and common interface.

Bing Copilot

Introducing SerpApi Bing Copilot API

SerpApi’s Bing Copilot API lets you fetch AI-generated answers from Bing Copilot as structured JSON, including text blocks, images, and source links. This makes it easy to analyze, monitor, or integrate generative search results without handling HTML, anti-bot measures, or scraping complexity.

mcp

Model Context Protocol (MCP): A Unified Standard for AI Agents and Tools

SerpApi MCP lets AI agents access real-time web data via a standard protocol. Models can call tools, fetch context, and use live info without custom code, turning isolated LLMs into context-aware assistants.

APIs

Easy Integrations

Features

Use Cases

Company

Pricing