A powerful neural search integration that enables AI agents to perform advanced web crawling and deep research using the Exa protocol.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mcp-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install mcp-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Exa Search & Research MCP?
The Exa Search & Research MCP skill is a specialized bridge between the Exa API and AI agents. It leverages neural search capabilities to provide more relevant and context-aware results than traditional keyword-based search engines. By integrating this into Openclaw Skills, developers can empower their agents to look up code context, crawl specific websites, and conduct multi-step deep research sessions.
This skill is designed for high-performance data retrieval, allowing agents to navigate the web with surgical precision. Whether you are building a research assistant or an automated developer tool, this skill provides the necessary endpoints to turn the entire web into a structured knowledge base.
Exa Search & Research MCP Use Cases
- Performing semantic web searches that understand intent rather than just keywords.
- Executing deep research tasks that require checking progress over time.
- Crawling specific URLs to gather technical documentation or code context for LLMs.
- Conducting detailed company research and LinkedIn searches for business intelligence.
- Enhancing Openclaw Skills agents with real-time data from the web to reduce hallucinations.
How Exa Search & Research MCP Works
- The AI agent triggers one of the specialized Exa tools based on the user's research query.
- The skill sends a request to the Exa MCP server located at the specified endpoint.
- For standard searches, the skill returns a list of highly relevant links and metadata.
- For deep research, the skill initiates a background process and provides a tracking ID.
- The agent uses the check tool to retrieve finalized insights once the deep search is complete.
- All data is formatted to be easily consumable by any agent running Openclaw Skills.
Exa Search & Research MCP Setup
To utilize this skill, you must have an active Exa API key and configure it within your environment.
# Set your Exa API Key
export EXA_API_KEY="your_exa_api_key_here"
# The skill connects to the following MCP endpoint:
# https://mcp.exa.ai/mcp
Exa Search & Research MCP Data Schema & Taxonomy
The skill organizes data into structured JSON objects suitable for LLM processing. Below is a breakdown of the primary data structures:
| Data Type | Description | Key Fields |
|---|---|---|
| Search Result | Individual web page data | title, url, score, publishedDate, text |
| Research Status | Status of deep research jobs | status, job_id, findings_summary |
| Company Info | Targeted corporate data | company_name, industry, linkedin_profile, description |
| Code Context | Extracted snippets for devs | file_path, code_content, repository_url |
Exa Search & Research MCP Advanced Features
- Support for asynchronous deep research, allowing agents to handle complex tasks without blocking.
- Advanced crawling capabilities that convert web pages into LLM-friendly markdown or text.
- Semantic filtering to prioritize results based on similarity scores rather than simple frequency.
- Dedicated LinkedIn and company research tools for specialized professional networking tasks within the Openclaw Skills framework.
SKILL.md
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