chore: update registry metadata (stars and pulls) (#1067)

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

Author: github-actions[bot]

registries/official/servers/context7/server.json

@@ -5,8 +5,8 @@
       "io.github.stacklok": {
         "ghcr.io/stacklok/dockyard/npx/context7:2.1.4": {
           "metadata": {
-            "last_updated": "2026-03-15T12:47:00Z",
-            "stars": 46978
+            "last_updated": "2026-04-14T03:03:54Z",
+            "stars": 52568
           },
           "overview": "## Context7 MCP Server\n\nThe context7 MCP server is a Model Context Protocol (MCP) server that provides AI assistants with direct access to up-to-date library and framework documentation from Context7, running as a local MCP service. It allows AI-driven workflows to retrieve current, authoritative docs and examples for popular programming languages, frameworks, and tools — helping models generate accurate, version-appropriate code and explanations without relying solely on training data. It is particularly valuable for local development environments, IDE-integrated assistants, and workflows where developers want documentation access to run alongside other local MCP tools.",
           "permissions": {

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

@@ -9,7 +9,7 @@
             "homepage": "https://gitlab.com/"
           },
           "metadata": {
-            "last_updated": "2026-03-15T03:03:15Z"
+            "last_updated": "2026-04-14T03:03:53Z"
           },
           "overview": "## GitLab MCP Server\n\nThe official hosted GitLab MCP server is a Model Context Protocol (MCP) server that enables AI assistants and agents to interact directly with GitLab projects and resources through a structured, AI-friendly interface. It allows AI-driven workflows to work with repositories, issues, merge requests, and project metadata without switching tools or manually navigating the GitLab UI. It is ideal for development, code review, CI/CD visibility, and project management workflows that rely on GitLab as the system of record.",
           "status": "Active",

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

@@ -5,8 +5,8 @@
       "io.github.stacklok": {
         "ghcr.io/stacklok/dockyard/npx/mcp-jetbrains:1.8.0": {
           "metadata": {
-            "last_updated": "2026-03-15T03:03:16Z",
-            "stars": 944
+            "last_updated": "2026-04-14T03:03:54Z",
+            "stars": 947
           },
           "overview": "## JetBrains MCP Server\n\nThe mcp-jetbrains server is a Model Context Protocol (MCP) server that enables AI assistants and agents to interact directly with JetBrains IDEs (such as IntelliJ IDEA, PyCharm, WebStorm, and others) through a structured, AI-friendly interface. It allows AI-driven workflows to inspect project structure, navigate code, and reason about files and symbols — bringing IDE context directly into conversational and automated development workflows. This server proves particularly valuable for code navigation, refactoring assistance, project comprehension, and integrating AI capabilities within the IDE environment.",
           "permissions": {

registries/toolhive/servers/context7/server.json

@@ -5,8 +5,8 @@
       "io.github.stacklok": {
         "ghcr.io/stacklok/dockyard/npx/context7:2.1.4": {
           "metadata": {
-            "last_updated": "2026-03-15T12:47:05Z",
-            "stars": 46978
+            "last_updated": "2026-04-14T03:03:54Z",
+            "stars": 52568
           },
           "overview": "## Context7 MCP Server\n\nThe context7 MCP server is a Model Context Protocol (MCP) server that provides AI assistants with direct access to up-to-date library and framework documentation from Context7, running as a local MCP service. It allows AI-driven workflows to retrieve current, authoritative docs and examples for popular programming languages, frameworks, and tools — helping models generate accurate, version-appropriate code and explanations without relying solely on training data. It is particularly valuable for local development environments, IDE-integrated assistants, and workflows where developers want documentation access to run alongside other local MCP tools.",
           "permissions": {

registries/toolhive/servers/toolhive-doc-mcp/server.json

@@ -5,7 +5,7 @@
       "io.github.stacklok": {
         "ghcr.io/stackloklabs/toolhive-doc-mcp:v0.0.11-20260226": {
           "metadata": {
-            "last_updated": "2026-03-15T03:03:16Z",
+            "last_updated": "2026-04-14T03:03:54Z",
             "stars": 3
           },
           "overview": "## ToolHive Docs MCP Server\n\nThe toolhive-doc-mcp server allows you to search ToolHive documentation for help with using and contributing to the project (local version). The system maintains a pre-built SQLite vector database containing documentation that undergoes parsing, chunking, and embedding using a local bge-small-en-v1.5 model. When queried, it performs semantic search by comparing queries against stored embeddings to return relevant documentation chunks.",