A Universal MCP Application: universal_mcp_exa
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"universal-mcp-exa","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# 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 SEO and backlink analysis tools 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](https://agentr.dev). Visit [agentr.dev/apps](https://agentr.dev/apps) and enable Exa. If you have not used universal mcp before follow the setup instructions at [agentr.dev/quickstart](https://agentr.dev/quickstart) ## Available Tools The full list of available tools is at [./src/universal_mcp_exa/README.md](./src/universal_mcp_exa/README.md) ## Local Development ### 📋 Prerequisites Ensure you have the following before you begin: - **Python 3.11+** (recommended) - **[uv](https://github.com/astral-sh/uv)** (install globally with `pip install uv`) ### 🛠️ Setup Instructions Follow the steps below to set up your development environment: 1. **Sync Project Dependencies** ```bash uv sync ``` This installs all dependencies from `pyproject.toml` into a local virtual environment (`.venv`). 2. **Activate the Virtual Environment** For Linux/macOS: ```bash source .venv/bin/activate ``` For Windows (PowerShell): ```powershell .venv\Scripts\Activate ``` 3. **Start the MCP Inspector** ```bash mcp dev src/universal_mcp_exa/mcp.py ``` This will start the MCP inspector. Make note of the address and port shown in the console output. 4. **Install the Application** ```bash mcp install src/universal_mcp_exa/mcp.py ``` ## 📁 Project Structure ```text . ├── src/ │ └── universal_mcp_exa/ │ ├── __init__.py # Package initializer │ ├── mcp.py # Server entry point │ ├── app.py # Application …
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.