chore: update registry metadata (stars and pulls) (#1044)

* chore: update registry metadata (stars and pulls)

* chore: update registry metadata (stars and pulls)

* chore: update registry metadata (stars and pulls)

* chore: update registry metadata (stars and pulls)

* chore: update registry metadata (stars and pulls)

---------

Co-authored-by: GitHub Action <action@github.com>

Author: github-actions[bot]

registries/official/servers/aws-diagram/server.json

@@ -5,8 +5,8 @@
       "io.github.stacklok": {
         "ghcr.io/stacklok/dockyard/uvx/aws-diagram:1.0.23": {
           "metadata": {
-            "last_updated": "2026-03-13T10:07:21Z",
-            "stars": 8422
+            "last_updated": "2026-04-12T03:04:10Z",
+            "stars": 8743
           },
           "overview": "## AWS Diagram MCP Server\n\nThe aws-diagram MCP server is a Model Context Protocol (MCP) server that enables AI assistants and agents to programmatically generate professional diagrams — such as AWS architecture diagrams, sequence flows, and class diagrams — through a prompt-driven interface. It uses the Python diagrams package DSL to turn structured diagram descriptions into visual output, making it easy to include infrastructure visuals inside AI-augmented workflows.",
           "permissions": {

registries/official/servers/chroma-mcp/server.json

@@ -5,8 +5,8 @@
       "io.github.stacklok": {
         "ghcr.io/stacklok/dockyard/uvx/chroma-mcp:0.2.6": {
           "metadata": {
-            "last_updated": "2026-03-12T23:57:39Z",
-            "stars": 498
+            "last_updated": "2026-04-09T03:03:29Z",
+            "stars": 532
           },
           "overview": "## Chroma MCP Server\n\nThe chroma-mcp server is a Model Context Protocol (MCP) server that enables AI assistants and agents to interact directly with Chroma, an open-source vector database designed for embeddings and similarity search. It allows AI workflows to store, retrieve, and query vector embeddings alongside metadata, making it easy to build retrieval-augmented generation (RAG), semantic search, and memory-driven applications without custom database integration. It's particularly valuable for AI systems that need long-term memory, document retrieval, or semantic similarity capabilities as part of their reasoning loop.",
           "permissions": {

registries/official/servers/chrome-devtools-mcp/server.json

@@ -5,8 +5,8 @@
       "io.github.stacklok": {
         "ghcr.io/stacklok/dockyard/npx/chrome-devtools-mcp:0.20.0": {
           "metadata": {
-            "last_updated": "2026-03-14T01:40:01Z",
-            "stars": 28311
+            "last_updated": "2026-04-12T03:04:11Z",
+            "stars": 34184
           },
           "overview": "## Chrome DevTools MCP Server\n\nThe chrome-devtools-mcp server is a Model Context Protocol (MCP) server that lets AI assistants interact directly with Chrome DevTools via the Chrome DevTools Protocol (CDP). It enables AI-driven workflows to inspect pages, observe network activity, debug JavaScript, analyze performance, and audit rendering behavior — all from within an MCP-compatible assistant, without manually opening DevTools. This server is ideal for frontend debugging, performance analysis, web automation diagnostics, and assisted web development.",
           "permissions": {

registries/official/servers/cloud-run/server.json

@@ -5,8 +5,8 @@
       "io.github.stacklok": {
         "docker.io/mcp/cloud-run-mcp:latest": {
           "metadata": {
-            "last_updated": "2026-03-12T23:57:46Z",
-            "stars": 542
+            "last_updated": "2026-04-10T03:04:30Z",
+            "stars": 589
           },
           "overview": "## Cloud Run MCP Server\n\nThe cloud-run MCP server is a Model Context Protocol (MCP) server that allows AI assistants and agents to interact directly with Google Cloud Run services through a structured, AI-friendly interface. It enables AI-driven workflows to discover services, inspect configurations, deploy revisions, and manage runtime state without switching to the Google Cloud Console or writing custom integration code. This server is well suited for cloud operations, service management, deployment inspection, and DevOps workflows centered on Cloud Run.",
           "permissions": {

registries/official/servers/firecrawl/server.json

@@ -5,8 +5,8 @@
       "io.github.stacklok": {
         "docker.io/mcp/firecrawl:latest": {
           "metadata": {
-            "last_updated": "2026-03-12T23:57:36Z",
-            "stars": 5632
+            "last_updated": "2026-04-09T03:03:29Z",
+            "stars": 5985
           },
           "overview": "## Firecrawl MCP Server\n\nThe firecrawl-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants to crawl, scrape, and extract content from websites at scale using Firecrawl. This tool transforms entire websites — including documentation, blogs, and knowledge bases — into clean, structured, machine-readable data without requiring custom crawlers. It is particularly suited for research, content ingestion, documentation analysis, and RAG workflows needing high-quality web content.",
           "permissions": {

registries/official/servers/hubspot-remote/server.json

@@ -10,7 +10,7 @@
             "license": "Proprietary"
           },
           "metadata": {
-            "last_updated": "2026-03-15T03:03:15Z"
+            "last_updated": "2026-04-13T03:04:50Z"
           },
           "oauth_config": {
             "authorize_url": "https://mcp.hubspot.com/oauth/authorize/user",

registries/official/servers/mcp-clickhouse/server.json

@@ -5,8 +5,8 @@
       "io.github.stacklok": {
         "ghcr.io/stacklok/dockyard/uvx/mcp-clickhouse:0.2.0": {
           "metadata": {
-            "last_updated": "2026-03-12T23:57:49Z",
-            "stars": 695
+            "last_updated": "2026-04-10T03:04:30Z",
+            "stars": 748
           },
           "overview": "## ClickHouse MCP Server\n\nThe mcp-clickhouse server is a Model Context Protocol (MCP) server that enables AI assistants and agents to interact directly with ClickHouse, the high-performance, column-oriented analytical database. It allows AI-driven workflows to query large datasets, inspect schemas, and analyze analytical workloads without requiring users to switch tools or embed ClickHouse-specific client logic. This server is especially useful for analytics, observability, log analysis, and data exploration workflows where fast, read-heavy queries and large-scale datasets are common.",
           "permissions": {

registries/official/servers/mcp-server-circleci/server.json

@@ -5,8 +5,8 @@
       "io.github.stacklok": {
         "ghcr.io/stacklok/dockyard/npx/mcp-server-circleci:0.14.2": {
           "metadata": {
-            "last_updated": "2026-03-13T09:44:27Z",
-            "stars": 80
+            "last_updated": "2026-04-11T03:02:36Z",
+            "stars": 82
           },
           "overview": "## CircleCI MCP Server\n\nThe mcp-server-circleci is a Model Context Protocol (MCP) server that enables AI assistants and agents to interact directly with CircleCI, the continuous integration and delivery platform. It allows AI-driven workflows to inspect pipelines, jobs, workflows, and build results — bringing CI/CD context directly into conversational and automated AI workflows without switching tools. This server is especially useful for build monitoring, failure analysis, release workflows, and developer productivity scenarios where understanding CI state and history is critical.",
           "permissions": {

registries/official/servers/redhat-linux/server.json

@@ -5,8 +5,8 @@
       "io.github.stacklok": {
         "quay.io/redhat-services-prod/rhel-lightspeed-tenant/linux-mcp-server:1.3.2": {
           "metadata": {
-            "last_updated": "2026-03-12T23:57:36Z",
-            "stars": 178
+            "last_updated": "2026-04-09T03:03:29Z",
+            "stars": 202
           },
           "overview": "## Red Hat Linux MCP Server\n\nThe redhat-linux MCP server provides read-only Linux sysadmin, diagnostics, and troubleshooting optimized for RHEL-based systems. This server delivers comprehensive Linux system diagnostics through real-time monitoring of CPU, memory, disk, and network metrics; process and service management with status and log access; network diagnostics including active connections and listening ports; and file system exploration with configurable path restrictions. All capabilities operate in read-only mode via SSH-based remote execution with secure key-based authentication, preventing system modifications.",
           "status": "Active",

registries/official/servers/semgrep/server.json

@@ -9,8 +9,8 @@
             "mcp"
           ],
           "metadata": {
-            "last_updated": "2026-03-12T23:57:43Z",
-            "stars": 14406
+            "last_updated": "2026-04-10T03:04:30Z",
+            "stars": 14745
           },
           "overview": "## Semgrep MCP Server\n\nThe semgrep MCP server scans code for security vulnerabilities using Semgrep with 5,000+ semantic analysis rules. This tool provides static security analysis across multiple programming languages, leveraging thousands of semantic rules for identifying vulnerabilities. It enables abstract syntax tree generation, supply chain security scanning, and supports custom rule creation for organization-specific security requirements.",
           "permissions": {