chore: update registry metadata (stars and pulls)

registries/official/servers/canva/server.json

@@ -9,7 +9,7 @@
             "homepage": "https://www.canva.dev/docs/connect/canva-mcp-server-setup/"
           },
           "metadata": {
-            "last_updated": "2026-03-06T02:57:37Z"
+            "last_updated": "2026-03-28T03:01:14Z"
           },
           "overview": "## Canva MCP Server\n\nThe canva MCP server is a Model Context Protocol (MCP) server that allows AI assistants and agents to interact directly with Canva's design platform through a structured, AI-friendly interface. It enables AI-driven workflows to create, edit, and manage visual designs — such as presentations, social graphics, documents, and brand assets — without leaving the conversational or automated workflow. This server is especially useful for content creation, marketing workflows, design automation, and brand-aware AI assistants.",
           "status": "Active",

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

@@ -9,7 +9,7 @@
             "homepage": "https://developers.notion.com/docs/get-started-with-mcp"
           },
           "metadata": {
-            "last_updated": "2026-03-07T02:51:19Z"
+            "last_updated": "2026-03-29T03:03:43Z"
           },
           "overview": "## Notion Remote MCP Server\n\nNotion's official remote MCP server enables AI assistants to interact with Notion workspaces over a streamable HTTP transport using OAuth authentication. It provides comprehensive coverage of the Notion API including creating, updating, duplicating, and moving pages; creating and updating databases; searching across the workspace; managing comments; and retrieving user and team information. This server is ideal for AI workflows that need to read from or write to Notion as a knowledge base, project tracker, or documentation system.",
           "status": "Active",

registries/official/servers/paypal/server.json

@@ -9,7 +9,7 @@
             "homepage": "https://www.paypal.ai/docs/tools/mcp-quickstart"
           },
           "metadata": {
-            "last_updated": "2026-03-07T02:51:19Z"
+            "last_updated": "2026-03-29T03:03:43Z"
           },
           "overview": "## PayPal MCP Server\n\nPayPal's official remote MCP server enables AI assistants to interact with the PayPal platform for payment processing, invoicing, and business operations. It supports the full payment lifecycle including order creation, payment capture, and refunds; invoice management with sending, reminders, and QR code generation; product catalog and subscription plan management; dispute resolution; shipment tracking; and transaction history queries. Authentication is handled via PayPal OAuth, making it suitable for AI-driven e-commerce, financial automation, and customer service workflows.",
           "status": "Active",

registries/official/servers/replicate/server.json

@@ -9,7 +9,7 @@
             "homepage": "https://replicate.com/docs/reference/mcp"
           },
           "metadata": {
-            "last_updated": "2026-03-07T02:51:19Z"
+            "last_updated": "2026-03-29T03:03:43Z"
           },
           "overview": "## Replicate MCP Server\n\nReplicate's official MCP server for AI models and ML workflows. The server provides access to Replicate's AI model platform through several functions: running and managing model predictions via their API, creating and managing deployments for production use, accessing thousands of pre-trained models from Replicate's library, and handling custom model training workflows.",
           "status": "Active",

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

@@ -5,8 +5,8 @@
       "io.github.stacklok": {
         "public.ecr.aws/f3y8w4n0/awslabs/aws-pricing-mcp-server:1.0.27": {
           "metadata": {
-            "last_updated": "2026-03-06T13:06:08Z",
-            "stars": 8259
+            "last_updated": "2026-03-28T03:01:14Z",
+            "stars": 8594
           },
           "overview": "## AWS Pricing MCP Server\n\nThe aws-pricing MCP server is a Model Context Protocol (MCP) server that gives AI assistants programmatic access to AWS pricing data through a structured interface. It allows AI-driven workflows to retrieve up-to-date pricing information for AWS services, instances, and usage dimensions, enabling cost estimation, comparison, and optimization tasks without manual navigation of pricing pages or spreadsheets. This server is particularly useful for cost modeling, architectural tradeoff analysis, and budget-aware automation inside AI assistants.",
           "permissions": {

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

@@ -10,8 +10,8 @@
             "license": "MIT"
           },
           "metadata": {
-            "last_updated": "2026-03-07T02:51:19Z",
-            "stars": 27572
+            "last_updated": "2026-03-29T03:03:43Z",
+            "stars": 28349
           },
           "oauth_config": {
             "authorize_url": "https://github.com/login/oauth/authorize",

registries/toolhive/servers/huggingface/server.json

@@ -9,7 +9,7 @@
             "homepage": "https://huggingface.co/mcp"
           },
           "metadata": {
-            "last_updated": "2026-03-06T02:57:37Z"
+            "last_updated": "2026-03-28T03:01:14Z"
           },
           "overview": "## Hugging Face MCP Server\n\nThe huggingface-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants and agents to interact directly with the Hugging Face ecosystem, including models, datasets, and Spaces. It allows AI-driven workflows to discover models, inspect metadata, download artifacts, and reason about available ML resources without switching tools or manually navigating the Hugging Face Hub. This server is especially useful for model exploration, experimentation, research, and workflows that integrate open-source ML assets into AI-assisted development.",
           "status": "Active",

registries/toolhive/servers/jam/server.json

@@ -9,7 +9,7 @@
             "homepage": "https://jam.dev/docs/debug-a-jam/mcp"
           },
           "metadata": {
-            "last_updated": "2026-03-06T02:57:37Z"
+            "last_updated": "2026-03-28T03:01:14Z"
           },
           "overview": "## Jam MCP Server\n\nThe jam MCP server is a Model Context Protocol (MCP) server that enables AI assistants and agents to interact directly with Jam, a developer-focused bug reporting and debugging platform. It allows AI-driven workflows to capture, inspect, and reason about bug reports — including contextual metadata like logs, network activity, console output, and environment details — without switching tools. This server is particularly valuable for debugging, QA workflows, developer support, and incident triage where rich client-side context is critical.",
           "status": "Active",

registries/toolhive/servers/linear/server.json

@@ -9,7 +9,7 @@
             "homepage": "https://linear.app/docs/mcp"
           },
           "metadata": {
-            "last_updated": "2026-03-06T02:57:37Z"
+            "last_updated": "2026-03-28T03:01:14Z"
           },
           "overview": "## Linear MCP Server\n\nThe linear MCP server is a Model Context Protocol (MCP) server that enables AI assistants and agents to interact directly with Linear, the issue tracking and project management platform. It allows AI-driven workflows to create, update, search, and reason about issues, projects, cycles, and teams — bringing planning and execution context directly into AI-assisted development workflows. This server is especially useful for product planning, engineering management, sprint execution, and triage workflows where Linear is the system of record.",
           "status": "Active",

registries/toolhive/servers/replicate/server.json

@@ -9,7 +9,7 @@
             "homepage": "https://replicate.com/docs/reference/mcp"
           },
           "metadata": {
-            "last_updated": "2026-03-07T02:51:19Z"
+            "last_updated": "2026-03-29T03:03:42Z"
           },
           "overview": "## Replicate MCP Server\n\nReplicate's official MCP server for AI models and ML workflows. The server provides access to Replicate's AI model platform through several functions: running and managing model predictions via their API, creating and managing deployments for production use, accessing thousands of pre-trained models from Replicate's library, and handling custom model training workflows.",
           "status": "Active",