mcp/exa Docker Image
Exa MCP for web search and web crawling!
Exa MCP Server
Exa MCP for web search and web crawling!.
https://www.anthropic.com/news/model-context-protocol
MCP Info
| Attribute | Details |
|---|---|
| Docker Image | https://hub.docker.com/repository/docker/mcp/exa |
| Author | https://github.com/exa-labs |
| Repository | https://github.com/exa-labs/exa-mcp-server |
Image Building Info
| Attribute | Details |
|---|---|
| Dockerfile | https://github.com/exa-labs/exa-mcp-server/blob/9c69a3b45b228243215c59673e54c5bf321bb416/Dockerfile |
| Commit | 9c69a3b45b228243215c59673e54c5bf321bb416 |
| Docker Image built by | Docker Inc. |
| Docker Scout Health Score | |
| Verify Signature | COSIGN_REPOSITORY=mcp/signatures cosign verify mcp/exa --key https://raw.githubusercontent.com/docker/keyring/refs/heads/main/public/mcp/latest.pub |
| Licence | MIT License |
Available Tools (2)
| Tools provided by this Server | Short Description |
|---|---|
web_fetch_exa | Read a webpage's full content as clean markdown. |
web_search_exa | Search the web for any topic and get clean, ready-to-use content. |
Tools Details
Tool: web_fetch_exa
Read a webpage's full content as clean markdown. Use after web_search_exa when highlights are insufficient or to read any URL.
Best for: Extracting full content from known URLs. Batch multiple URLs in one call. Returns: Clean text content and metadata from the page(s).
| Parameters | Type | Description |
|---|---|---|
urls | array | URLs to read. Batch multiple URLs in one call. |
maxCharacters | number optional | Maximum characters to extract per page (default: 3000) |
This tool is read-only. It does not modify its environment.
Tool: web_search_exa
Search the web for any topic and get clean, ready-to-use content.
Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.
| Parameters | Type | Description |
|---|---|---|
query | string | Natural language search query. Should be a semantically rich description of the ideal page, not just keywords. Optionally include category: |
numResults | number optional | Number of search results to return (default: 10). |
This tool is read-only. It does not modify its environment.
Use this MCP Server
json{ "mcpServers": { "exa": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "EXA_API_KEY", "mcp/exa" ], "env": { "EXA_API_KEY": "your-api-key-here" } } } }
https://www.docker.com/blog/the-model-context-protocol-simplifying-building-ai-apps-with-anthropic-claude-desktop-and-docker/
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