# Exa Web Search

> Use this tool when you need to integrate web search capabilities into AI conversations, providing users with real-time internet information and current data. It solves problems of information access and retrieval, offering filtering options and markdown-formatted results with titles, URLs, and content summaries. Ideal for workflows requiring up-to-date information, it accepts search queries as input and returns relevant web search results as output.

Canonical page: https://skillsregistry.net/skills/mshojaei77-exa-web-search  
JSON: https://api.skillsregistry.net/v1/skills/mshojaei77-exa-web-search

## Description

ReActMCP Web Search integrates Exa API's web search capabilities into AI assistant frameworks through the Model Context Protocol. It provides both basic and advanced search tools with filtering options for domains, text requirements, and date ranges, returning markdown-formatted results with titles, URLs, publication dates, and content summaries. Built with Python using the FastMCP framework, this implementation is particularly valuable for workflows requiring real-time internet information within AI conversations, allowing users to access current data without leaving their conversation interface.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mshojaei77-exa-web-search)
- **Repository:** <https://github.com/mshojaei77/reactmcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mshojaei77-exa-web-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mshojaei77-exa-web-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mshojaei77-exa-web-search/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt