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Exa

by · github.com/universal-mcp/exa

Exa MCP — neural/semantic web search + content retrieval (exa.ai)

Unclaimed MIT last commit a year ago search
InstallView source
45Fair

Scored 18 hours ago · breakdown

About Exa

Exa is an MCP server published by universal-mcp in the Developer Tools category: exa MCP — neural/semantic web search + content retrieval (exa.ai). It has been installed 0 times through Conduid.

The repository has 1 stars and 0 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx exa

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v0.1.1v0.1.1

README

Exa Universal MCP Server

This repository contains an implementation of an Exa Universal MCP (Model Context Protocol) server. It provides a standardized interface for interacting with Exa's tools and services through a unified API.

The server is built using the Universal MCP framework.

This implementation follows the MCP specification, ensuring compatibility with other MCP-compliant services and tools.

Usage

You can start using Exa directly from agentr.dev. Visit agentr.dev/apps and enable Exa.

If you have not used universal mcp before follow the setup instructions at agentr.dev/quickstart

Available Tools

The full list of available tools is at ./src/universal_mcp_exa/README.md

Local Development

📋 Prerequisites

Ensure you have the following before you begin:

  • Python 3.11+ (recommended)
  • uv (install globally with pip install uv)

🛠️ Setup Instructions

Follow the steps below to set up your development environment:

  1. Sync Project Dependencies

    uv sync

    This installs all dependencies from pyproject.toml into a local virtual environment (.venv).

  2. Activate the Virtual Environment

    For Linux/macOS:

    source .venv/bin/activate

    For Windows (PowerShell):

    .venv\Scripts\Activate

  3. Start the MCP Inspector

    mcp dev src/universal_mcp_exa/server.py

    This will start the MCP inspector. Make note of the address and port shown in the console output.

  4. Install the Application

    mcp install src/universal_mcp_exa/server.py

📁 Project Structure

.
├── src/
│   └── universal_mcp_exa/
│       ├── __init__.py       # Package initializer
│       ├── server.py            # Server entry point
│       ├── app.py            # Application tools
│       └── README.md         # List of application tools
├── tests/                    # Test suite
├── .env                      # Environment variables for local development
├── pyproject.toml            # Project configuration
└── README.md                 # This file

📄 License

This project is licensed under the MIT License.

Generated with MCP CLI — Happy coding! 🚀

README mirrored from the source repository 18 hours ago. The original is authoritative.

Questions

About Exa

How do I install Exa?

Run npx exa, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Exa safe to use with an AI agent?

Its trust score is 45 out of 100 (fair). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Exa still maintained?

The last commit was a year ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.