diff --git a/registries/official/servers/phoenix/server.json b/registries/official/servers/phoenix/server.json index 9bbdd1b0..be32e067 100644 --- a/registries/official/servers/phoenix/server.json +++ b/registries/official/servers/phoenix/server.json @@ -3,9 +3,9 @@ "_meta": { "io.modelcontextprotocol.registry/publisher-provided": { "io.github.stacklok": { - "ghcr.io/stacklok/dockyard/npx/phoenix-mcp:4.0.6": { + "ghcr.io/stacklok/dockyard/npx/phoenix-mcp:4.0.7": { "metadata": { - "last_updated": "2026-04-22T07:20:53Z", + "last_updated": "2026-04-27T15:01:45Z", "stars": 9311 }, "overview": "## Phoenix MCP Server\n\nThe phoenix MCP server is a Model Context Protocol (MCP) server for the Arize Phoenix observability platform. It provides AI assistants with programmatic access to Arize Phoenix, enabling dataset and experiment management for LLM evaluation workflows, prompt version control and tagging for LLM application development, span and trace querying for observability and debugging, and project-based organization for managing multiple Phoenix instances.", @@ -771,7 +771,7 @@ "name": "PHOENIX_BASE_URL" } ], - "identifier": "ghcr.io/stacklok/dockyard/npx/phoenix-mcp:4.0.6", + "identifier": "ghcr.io/stacklok/dockyard/npx/phoenix-mcp:4.0.7", "registryType": "oci", "transport": { "type": "stdio" diff --git a/registries/toolhive/servers/phoenix/server.json b/registries/toolhive/servers/phoenix/server.json index 91b86deb..504d12c0 100644 --- a/registries/toolhive/servers/phoenix/server.json +++ b/registries/toolhive/servers/phoenix/server.json @@ -3,9 +3,9 @@ "_meta": { "io.modelcontextprotocol.registry/publisher-provided": { "io.github.stacklok": { - "ghcr.io/stacklok/dockyard/npx/phoenix-mcp:4.0.6": { + "ghcr.io/stacklok/dockyard/npx/phoenix-mcp:4.0.7": { "metadata": { - "last_updated": "2026-04-22T07:21:00Z", + "last_updated": "2026-04-27T15:01:58Z", "stars": 9311 }, "overview": "## Phoenix MCP Server\n\nThe phoenix MCP server is a Model Context Protocol (MCP) server for the Arize Phoenix observability platform. It provides AI assistants with programmatic access to Arize Phoenix, enabling dataset and experiment management for LLM evaluation workflows, prompt version control and tagging for LLM application development, span and trace querying for observability and debugging, and project-based organization for managing multiple Phoenix instances.", @@ -771,7 +771,7 @@ "name": "PHOENIX_BASE_URL" } ], - "identifier": "ghcr.io/stacklok/dockyard/npx/phoenix-mcp:4.0.6", + "identifier": "ghcr.io/stacklok/dockyard/npx/phoenix-mcp:4.0.7", "registryType": "oci", "transport": { "type": "stdio"