| name | exa-x-search |
| description | Search tweets and X/Twitter content using Exa. Finds social discussions, product announcements, developer opinions, trending topics, and community sentiment. Use when searching for tweets, X/Twitter discussions, or social media sentiment. |
| user-invocable | true |
X/Twitter Search (Exa)
Tool
Call the native MCP tool exa-search__web_search_advanced_exa directly with category: "tweet".
Always include category: "tweet".
Critical Filter Restrictions
The tweet category has very limited filter support. These params cause errors:
| Param | Status |
|---|
includeText | NOT SUPPORTED — 400 error |
excludeText | NOT SUPPORTED — 400 error |
includeDomains | NOT SUPPORTED — 400 error |
excludeDomains | NOT SUPPORTED — 400 error |
moderation | NOT SUPPORTED — 500 error |
Use the query string itself to filter content — put keywords, hashtags, and exclusions in query.
Supported Parameters
query, numResults, type- Date:
startPublishedDate, endPublishedDate, startCrawlDate, endCrawlDate
- Content:
textMaxCharacters, enableHighlights, enableSummary
additionalQueries — for hashtag variationslivecrawl=preferred — for recent tweets
Call Examples
Tool: exa-search__web_search_advanced_exa
# Recent tweets on a topic
{ query: "Claude Code MCP experience", category: "tweet", startPublishedDate: "2025-01-01",
numResults: 20, type: "auto", livecrawl: "preferred" }
# Product announcements (keywords in query, not includeText)
{ query: "announcing new open source AI tool release", category: "tweet",
startPublishedDate: "2025-12-01", numResults: 15, type: "auto" }
# Developer sentiment
{ query: "developer experience frustrating painful bug", category: "tweet",
numResults: 20, type: "deep", livecrawl: "preferred" }
# Competitor monitoring
{ query: "[INCUMBENT_PRODUCT] review feedback", category: "tweet",
startPublishedDate: "2025-06-01", numResults: 25, type: "auto" }
When to Use
- Social discussions and community sentiment
- Product announcements from company accounts
- Developer opinions and experiences
- Trending topics
- Expert takes and threads
- Competitor/market signal monitoring
Output Format
Return:
- Results — tweet content, author handle, date, engagement if visible
- Sources — tweet URLs
- Notes — sentiment summary, notable accounts, threads vs single tweets
Note: tweet content can be informal, sarcastic, or context-dependent.
