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Exa Search

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mxyhi
exa-search

Use Exa MCP for current web, code/docs, company, people, and page-fetch research. Prefer current hosted tool schemas and note deprecated tools.

Overview

Publishermxyhi
Repositoryok-skills
Skill nameexa-search
Stars
490
Forks
46
Bundled files
1
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by mxyhi on GitHub. Read the source before you install it.

Installation

Install the Exa Search AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mxyhi/ok-skills.git /tmp/ok-skills
mkdir -p .claude/skills
cp -r /tmp/ok-skills/exa-search .claude/skills/exa-search
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Exa Search in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Exa Search on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Exa Search is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Exa MCP Search

Use this skill when online search, page fetch, code/docs lookup, company research, people research, or Exa MCP parameter checks are needed.

Current Source Of Truth

  • Hosted MCP endpoint: https://mcp.exa.ai/mcp
  • Official source: exa-labs/exa-mcp-server@15ffb50519e719dc791cdc750ce5ed1934c0a1ed
  • Current npm package checked: exa-mcp-server@3.4.1; verified tarball SHA-256 62379fab5750cbc8334f096ff986ab1b7152488afffab5b0e275995310b6e978
  • Tool schemas can change. Before adding new parameters, verify with tools/list through a normal HTTP client.

Direct MCP HTTP is the required invocation model for this skill. curl is fine, but keep the session and SSE parsing in small shell helpers instead of repeating low-level flags at every call site.

Tool Choice

NeedPreferNotes
General current web searchweb_search_exaSimple search. Only query and numResults.
Filtered search, dates, domains, categories, summaries, highlights, subpagesweb_search_advanced_exaEnable explicitly in tools=. Use this for company/people/papers/news filters.
Read known URLs fullyweb_fetch_exaUse after search when highlights are insufficient.
Code examples/docsweb_search_exaget_code_context_exa still exists but is deprecated.
Company researchweb_search_advanced_exa with category:"company"company_research_exa still exists but is deprecated.
People/profilesweb_search_advanced_exa with category:"people"people_search_exa still exists but is deprecated.

Core Parameters

web_search_exa

  • query required: semantically rich natural-language query. Can include category:company or category:people.
  • numResults optional: default 10.
  • No type, livecrawl, contextMaxCharacters, or tokensNum on current hosted schema.
json
{"query":"latest AI safety research June 2026","numResults":10}

web_search_advanced_exa

  • query required.
  • Common optional filters: numResults, type (auto | fast | instant), category, includeDomains, excludeDomains, startPublishedDate, endPublishedDate, startCrawlDate, endCrawlDate, includeText, excludeText, userLocation, moderation, additionalQueries.
  • Content controls: textMaxCharacters, contextMaxCharacters, enableSummary, summaryQuery, enableHighlights, highlightsMaxCharacters, highlightsQuery, maxAgeHours, livecrawlTimeout, subpages, subpageTarget.
  • Deprecated highlight controls: highlightsNumSentences, highlightsPerUrl; prefer highlightsMaxCharacters.
  • Categories include company, publication, news, pdf, github, personal site, people, financial report.
json
{
  "query":"Anthropic funding valuation 2026",
  "category":"news",
  "includeDomains":["techcrunch.com","bloomberg.com"],
  "startPublishedDate":"2026-01-01",
  "numResults":10,
  "type":"auto",
  "enableHighlights":true
}

web_fetch_exa

  • urls required: array of URLs. Batch multiple URLs in one call.
  • maxCharacters optional: default 3000.
json
{"urls":["https://docs.exa.ai/reference"],"maxCharacters":5000}

Deprecated But Still Available

  • get_code_context_exa: use web_search_exa instead. Current schema is query, numResults; old tokensNum is obsolete.
  • company_research_exa: use web_search_advanced_exa with category:"company" instead. Schema is companyName, numResults; default 3.
  • people_search_exa: use web_search_advanced_exa with category:"people" instead.
  • crawling_exa: use web_fetch_exa instead.
  • deep_search_exa: use web_search_advanced_exa instead; current hosted MCP requires OAuth or an API key when this tool is requested.
  • deep_researcher_start / deep_researcher_check: deprecated; use Exa Research API directly when needed.

Curl Pattern

  1. POST initialize; keep returned Mcp-Session-Id response header.
  2. POST notifications/initialized with that header.
  3. POST tools/list or tools/call with that header.
  4. If response is text/event-stream, parse JSON from data: lines.

Minimal Curl Helper

bash
EXA_URL="https://mcp.exa.ai/mcp?tools=web_search_exa,web_search_advanced_exa,web_fetch_exa"
EXA_SESSION_ID=""

exa_rpc() {
  local payload="$1"
  local session_header=()
  local response

  if [ -n "$EXA_SESSION_ID" ]; then
    session_header=(-H "Mcp-Session-Id: $EXA_SESSION_ID")
  fi

  response="$(curl -isS "$EXA_URL" \
    -H 'Content-Type: application/json' \
    -H 'Accept: application/json, text/event-stream' \
    "${session_header[@]}" \
    --data "$payload")"

  if [ -z "$EXA_SESSION_ID" ]; then
    EXA_SESSION_ID="$(printf '%s\n' "$response" | awk 'tolower($0) ~ /^mcp-session-id:/ { sub(/^[^:]+:[[:space:]]*/, ""); gsub(/\r/, ""); print; exit }')"
  fi

  printf '%s\n' "$response" | sed -n 's/^data: //p'
}

exa_init() {
  exa_rpc '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"exa-curl","version":"0.1.0"}}}' >/dev/null
  exa_rpc '{"jsonrpc":"2.0","method":"notifications/initialized"}' >/dev/null
}

exa_call() {
  local tool_name="$1"
  local arguments_json="$2"
  jq -nc --arg name "$tool_name" --argjson arguments "$arguments_json" \
    '{jsonrpc:"2.0",id:2,method:"tools/call",params:{name:$name,arguments:$arguments}}' |
    while IFS= read -r payload; do exa_rpc "$payload"; done
}

exa_init
exa_call web_search_exa '{"query":"latest AI safety research","numResults":5}'

Tool output format differs: web_search_exa returns formatted text, web_search_advanced_exa returns JSON text, and web_fetch_exa returns fetched page text.

Research Practice

  • For simple lookup, run one targeted web_search_exa call.
  • For dated/current questions, calculate exact date ranges first and pass startPublishedDate / endPublishedDate through web_search_advanced_exa.
  • For source-heavy tasks, fetch only the best URLs with web_fetch_exa; do not dump raw results into the final answer.
  • For company/people/paper/news workflows, prefer web_search_advanced_exa categories rather than deprecated specialized tools.
  • Mention source uncertainty when Exa returns sparse, conflicting, or old results.

References

  • Tool fields: references/exa-tools.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Exa Search AI skill do?

Use Exa MCP for current web, code/docs, company, people, and page-fetch research. Prefer current hosted tool schemas and note deprecated tools.

Why use Exa Search on TypingMind?

Because you install it once and use it with any model. Exa Search is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Exa Search in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mxyhi/ok-skills/tree/main/exa-search. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Exa Search?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Exa Search?

As many as you like. As long as a model supports skills, you can use Exa Search with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Exa Search AI skill free?

Yes. It is published on GitHub by mxyhi under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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