Exa labs exa mcp server x search 1.0.2
Skill VRIL-LABS/skill-jam/skills/search-research/exa-labs-exa-mcp-server-x-search-1.0.2
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npx -y skills add VRIL-LABS/skill-jam --skill exa-labs-exa-mcp-server-x-search-1.0.2Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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What its author says it does
Copied from the file, not written here
Search tweets and Twitter/X content using Exa advanced search. Limited filter support - text and domain filters are NOT supported. Use when searching for tweets, Twitter/X discussions, or social media sentiment.
SKILL.md
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Web Search Advanced - Tweet Category
Tool Restriction (Critical)
ONLY use web_search_advanced_exa with category: "tweet". Do NOT use other categories or tools.
Filter Restrictions (Critical)
The tweet category has LIMITED filter support. The following parameters are NOT supported and will cause 400 errors:
includeText- NOT SUPPORTEDexcludeText- NOT SUPPORTEDincludeDomains- NOT SUPPORTEDexcludeDomains- NOT SUPPORTEDmoderation- NOT SUPPORTED (causes 500 server error)
Supported Parameters
Core
query(required)numResultstype("auto", "fast", "deep", "neural")
Date filtering (ISO 8601) - Use these instead of text filters!
startPublishedDate/endPublishedDatestartCrawlDate/endCrawlDate
Content extraction
textMaxCharacters/contextMaxCharactersenableHighlights/highlightsNumSentences/highlightsPerUrl/highlightsQueryenableSummary/summaryQuery
Additional
additionalQueries- useful for hashtag variationslivecrawl/livecrawlTimeout- use "preferred" for recent tweets
Token Isolation (Critical)
Never run Exa searches in main context. Always spawn Task agents:
- Agent calls
web_search_advanced_exawithcategory: "tweet" - Agent merges + deduplicates results before presenting
- Agent returns distilled output (brief markdown or compact JSON)
- Main context stays clean regardless of search volume
When to Use
Use this category when you need:
- Social discussions on a topic
- Product announcements from company accounts
- Developer opinions and experiences
- Trending topics and community sentiment
- Expert takes and threads
Examples
Recent tweets on a topic:
web_search_advanced_exa {
"query": "Claude Code MCP experience",
"category": "tweet",
"startPublishedDate": "2025-01-01",
"numResults": 20,
"type": "auto",
"livecrawl": "preferred"
}
Search with specific keywords (put keywords in query, not includeText):
web_search_advanced_exa {
"query": "launching announcing new open source release",
"category": "tweet",
"startPublishedDate": "2025-12-01",
"numResults": 15,
"type": "auto"
}
Developer sentiment (use specific query terms instead of excludeText):
web_search_advanced_exa {
"query": "developer experience DX frustrating painful",
"category": "tweet",
"numResults": 20,
"type": "deep",
"livecrawl": "preferred"
}
Output Format
Return:
- Results (tweet content, author handle, date, engagement if visible)
- Sources (Tweet URLs)
- Notes (sentiment summary, notable accounts, threads vs single tweets)
Important: Be aware that tweet content can be informal, sarcastic, or context-dependent.