Exa MCP Server
Connect FlowHunt to real-time web search and external knowledge with the Exa MCP Server for more accurate, up-to-date, and trustworthy AI-powered workflows.

What does “Exa” MCP Server do?
The Exa MCP (Model Context Protocol) Server enables AI assistants, such as Claude, to connect to the Exa AI Search API for real-time web searches. By serving as a bridge between AI models and the vast information available on the web, Exa MCP allows assistants to fetch up-to-date data, answer user queries more accurately, and access external knowledge in a safe, controlled manner. This enhances development workflows by integrating dynamic web search capabilities directly into AI-driven tools, making tasks like research, content generation, and fact-checking more efficient and reliable. Exa MCP can be run locally or accessed via a hosted endpoint, providing flexibility for various integration scenarios.
List of Prompts
No prompt templates are mentioned in the repository.
List of Resources
No explicit resources are described in the repository.
List of Tools
No explicit tool list is documented in the repository or in a server.py file.
Use Cases of this MCP Server
- Real-time Web Search Integration
Developers can enable AI assistants to access the latest information from the web, ensuring responses are timely and relevant. - Research Assistance
AI can assist with complex research tasks by retrieving and summarizing recent articles, blogs, or documentation. - Fact Checking
Enhance trustworthiness by allowing AI to cross-reference claims with current data from authoritative websites. - Content Generation
Writers and marketers can use AI to pull in up-to-date references and generate content with accurate citations. - Knowledge Augmentation
AI models can supplement their training with new data from the web, improving their ability to answer niche or emerging questions.
How to set it up
Windsurf
No setup instructions for Windsurf are available in the repository.
Claude
- Prerequisite: Install Node.js and
exa-mcp-server
globally:npm install -g exa-mcp-server
- Locate Configuration: Open the
claude_desktop_config.json
file:- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%\Claude\claude_desktop_config.json
- macOS:
- Edit Configuration: Add the Exa server configuration:
{ "mcpServers": { "exa": { "command": "npx", "args": ["-y", "exa-mcp-server"], "env": { "EXA_API_KEY": "your-api-key-here" } } } }
- Save and Restart: Save the file and restart Claude Desktop.
- Verify Setup: Ensure the MCP server appears in the available tools.
Note: Secure your API keys using the env
object as shown above.
Cursor
No setup instructions for Cursor are available in the repository.
Cline
No setup instructions for Cline are available in the repository.
Using a Remote Exa MCP
You can also connect directly to the hosted Exa MCP server:
{
"mcpServers": {
"exa": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://mcp.exa.ai/mcp?exaApiKey=your-exa-api-key"
]
}
}
}
Replace your-exa-api-key
with your actual API key from dashboard.exa.ai/api-keys.
How to use this MCP inside flows
Using MCP in FlowHunt
To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:
{
"exa": {
"transport": "streamable_http",
"url": "https://yourmcpserver.example/pathtothemcp/url"
}
}
Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change "exa"
to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.
Overview
Section | Availability | Details/Notes |
---|---|---|
Overview | ✅ | |
List of Prompts | ⛔ | |
List of Resources | ⛔ | |
List of Tools | ⛔ | |
Securing API Keys | ✅ | Uses env in config |
Sampling Support (less important in evaluation) | ⛔ |
Based on the available information, the Exa MCP Server is straightforward to set up and well-maintained, but lacks explicit documentation on prompts, resources, and tools in the public repository. Its focus is on web search integration. I would rate this MCP server a 5/10 for general use and documentation.
MCP Score
Has a LICENSE | ✅ (MIT) |
---|---|
Has at least one tool | ⛔ |
Number of Forks | 150 |
Number of Stars | 1.7k |
Frequently asked questions
- What is the Exa MCP Server?
Exa MCP Server acts as a bridge between AI assistants and the Exa AI Search API, enabling real-time web search, research, fact-checking, and knowledge augmentation within AI workflows.
- How does Exa MCP enhance FlowHunt?
It allows FlowHunt bots and agents to access up-to-date web information, improving answer accuracy, supporting research, and enabling fact-checking directly from your flows.
- Is Exa MCP difficult to set up?
No, Exa MCP is straightforward to install and configure, with both local and hosted options available. You need an Exa API key and simple JSON configuration to get started.
- Can I use a remote Exa MCP server?
Yes, you can connect FlowHunt (or other tools) directly to the hosted Exa MCP server using your API key and the provided endpoint.
- What are typical use cases for Exa MCP?
Real-time web search integration, AI-driven research assistance, fact-checking, content generation with current citations, and augmenting AI knowledge with the latest web data.
Supercharge FlowHunt with Exa MCP Server
Empower your AI flows with real-time web search, research, and fact-checking using the Exa MCP Server integration.