chore: update registry metadata (stars and pulls) (#844)

Co-authored-by: rdimitrov <16540482+rdimitrov@users.noreply.github.com>

Author: github-actions[bot]

registries/toolhive/servers/astra-db-mcp/server.json

@@ -5,7 +5,7 @@
       "io.github.stacklok": {
         "ghcr.io/stacklok/dockyard/npx/astra-db-mcp:1.2.2": {
           "metadata": {
-            "last_updated": "2026-02-26T11:45:46Z",
+            "last_updated": "2026-03-05T02:57:43Z",
             "stars": 38
           },
           "overview": "## Astra DB MCP Server\n\nThe astra-db-mcp server is a Model Context Protocol (MCP) implementation that enables AI assistants and agents to interact directly with DataStax Astra DB — a cloud-native database service — through a standardized, agent-friendly interface. It allows natural language workflows to query, manage, and manipulate collections and records stored in Astra DB without writing custom database integration code.",

registries/toolhive/servers/aws-knowledge/server.json

@@ -9,8 +9,8 @@
             "homepage": "https://awslabs.github.io/mcp/servers/aws-knowledge-mcp-server/"
           },
           "metadata": {
-            "last_updated": "2026-02-26T11:45:45Z",
-            "stars": 8259
+            "last_updated": "2026-03-05T02:57:42Z",
+            "stars": 8338
           },
           "overview": "## AWS Knowledge MCP Server\n\nThe aws-knowledge MCP server is a Model Context Protocol server that gives AI assistants structured access to curated AWS knowledge sources, including architectural guidance, best practices, service concepts, and operational recommendations. It's designed to help AI workflows answer conceptual questions about AWS by grounding responses in authoritative knowledge rather than raw documentation alone. The server provides capabilities including architectural guidance access, concept-level reasoning support, contextual discovery, and grounded AI responses to reduce hallucinations by anchoring answers in vetted AWS knowledge sources.",
           "status": "Active",

registries/toolhive/servers/context7-remote/server.json

@@ -9,8 +9,8 @@
             "homepage": "https://context7.com/"
           },
           "metadata": {
-            "last_updated": "2026-02-26T11:45:45Z",
-            "stars": 46978
+            "last_updated": "2026-03-05T02:57:42Z",
+            "stars": 47708
           },
           "overview": "## Context7 Remote MCP Server\n\nThe context7-remote MCP Server is a hosted Model Context Protocol (MCP) server that provides AI assistants with on-demand access to up-to-date library and framework documentation via Context7. Instead of relying on potentially stale training data, AI workflows can retrieve current, version-specific docs and examples for popular programming languages, frameworks, and tools — directly inside an MCP-compatible assistant. The service is designed to help coding and debugging workflows by enabling assistants to access current API documentation and best practices without depending on outdated model training data, thereby reducing the risk of inaccurate suggestions.",
           "status": "Active",

registries/toolhive/servers/k8s/server.json

@@ -5,7 +5,7 @@
       "io.github.stacklok": {
         "ghcr.io/stackloklabs/mkp/server:0.2.4": {
           "metadata": {
-            "last_updated": "2026-02-26T11:45:46Z",
+            "last_updated": "2026-03-05T02:57:43Z",
             "stars": 57
           },
           "overview": "## Kubernetes MCP Server\n\nThe k8s MCP server is a Model Context Protocol (MCP) server that enables AI assistants and agents to interact directly with Kubernetes clusters through a structured, AI-friendly interface. It allows AI-driven workflows to inspect cluster state, explore resources, and reason about workloads without switching tools or manually using kubectl or the Kubernetes dashboard. This server is ideal for platform engineering, operations, troubleshooting, and infrastructure-aware AI workflows built on Kubernetes.",

registries/toolhive/servers/slack-remote/server.json

@@ -9,6 +9,9 @@
             "homepage": "https://docs.slack.dev/ai/slack-mcp-server",
             "license": "MIT"
           },
+          "metadata": {
+            "last_updated": "2026-03-05T02:57:42Z"
+          },
           "oauth_config": {
             "authorize_url": "https://slack.com/oauth/v2_user/authorize",
             "scopes": [