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@@ -47,6 +47,7 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://iotdb.apache.org/img/logo.svg" alt="Apache IoTDB Logo" /> **[Apache IoTDB](https://github.com/apache/iotdb-mcp-server)** - MCP Server for [Apache IoTDB](https://github.com/apache/iotdb) database and its tools
 - <img height="12" width="12" src="https://apify.com/favicon.ico" alt="Apify Logo" /> **[Apify](https://github.com/apify/actors-mcp-server)** - [Actors MCP Server](https://apify.com/apify/actors-mcp-server): Use 3,000+ pre-built cloud tools to extract data from websites, e-commerce, social media, search engines, maps, and more
 - <img height="12" width="12" src="https://2052727.fs1.hubspotusercontent-na1.net/hubfs/2052727/cropped-cropped-apimaticio-favicon-1-32x32.png" alt="APIMatic Logo" /> **[APIMatic MCP](https://github.com/apimatic/apimatic-validator-mcp)** - APIMatic MCP Server is used to validate OpenAPI specifications using [APIMatic](https://www.apimatic.io/). The server processes OpenAPI files and returns validation summaries by leveraging APIMatic’s API.
+- <img height="12" width="12" src="https://phoenix.arize.com/wp-content/uploads/2023/04/cropped-Favicon-32x32.png" alt="Arize-Phoenix Logo" /> **[Arize Phoenix](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-mcp)** - Inspect traces, manage prompts, curate datasets, and run experiments for open-source AI and LLM observability [Arize Phoenix](https://github.com/Arize-ai/phoenix).
 - <img height="12" width="12" src="https://www.datastax.com/favicon-32x32.png" alt="DataStax logo" /> **[Astra DB](https://github.com/datastax/astra-db-mcp)** - Comprehensive tools for managing collections and documents in a [DataStax Astra DB](https://www.datastax.com/products/datastax-astra) NoSQL database with a full range of operations such as create, update, delete, find, and associated bulk actions.
 - <img height="12" width="12" src="https://resources.audiense.com/hubfs/favicon-1.png" alt="Audiense Logo" /> **[Audiense Insights](https://github.com/AudienseCo/mcp-audiense-insights)** - Marketing insights and audience analysis from [Audiense](https://www.audiense.com/products/audiense-insights) reports, covering demographic, cultural, influencer, and content engagement analysis.
 - <img height="12" width="12" src="https://axiom.co/favicon.ico" alt="Axiom Logo" /> **[Axiom](https://github.com/axiomhq/mcp-server-axiom)** - Query and analyze your Axiom logs, traces, and all other event data in natural language