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chore: update catalog data files for v2026.03.02 (#819)
Co-authored-by: rdimitrov <16540482+rdimitrov@users.noreply.github.com> Co-authored-by: Radoslav Dimitrov <radoslav@stacklok.com>
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‎pkg/catalog/toolhive/data/official-registry.json‎

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"$schema": "https://raw.githubusercontent.com/stacklok/toolhive-core/main/registry/types/data/upstream-registry.schema.json",
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"version": "1.0.0",
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"meta": {
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"last_updated": "2026-03-01T00:50:35Z"
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"last_updated": "2026-03-02T00:44:39Z"
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},
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"data": {
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"servers": [
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"packages": [
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{
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"registryType": "oci",
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"identifier": "public.ecr.aws/awslabs-mcp/awslabs/aws-api-mcp-server:1.3.13",
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"identifier": "public.ecr.aws/awslabs-mcp/awslabs/aws-api-mcp-server:1.3.16",
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"transport": {
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"type": "stdio"
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},
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"_meta": {
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"io.modelcontextprotocol.registry/publisher-provided": {
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"io.github.stacklok": {
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"public.ecr.aws/awslabs-mcp/awslabs/aws-api-mcp-server:1.3.13": {
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"public.ecr.aws/awslabs-mcp/awslabs/aws-api-mcp-server:1.3.16": {
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"metadata": {
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"last_updated": "2026-02-26T11:46:01Z",
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"stars": 8259
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"packages": [
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{
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"registryType": "oci",
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"identifier": "docker.io/grafana/mcp-grafana:0.11.0",
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"identifier": "docker.io/grafana/mcp-grafana:0.11.2",
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"transport": {
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"type": "sse",
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"url": "http://localhost:8000"
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"_meta": {
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"io.modelcontextprotocol.registry/publisher-provided": {
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"io.github.stacklok": {
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"docker.io/grafana/mcp-grafana:0.11.0": {
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"docker.io/grafana/mcp-grafana:0.11.2": {
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"metadata": {
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"last_updated": "2026-02-26T11:45:45Z",
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"stars": 2410
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"io.github.stacklok": {
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"ghcr.io/stacklok/dockyard/npx/magic-mcp:0.1.0": {
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"metadata": {
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"last_updated": "2026-02-26T10:31:18Z",
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"stars": 4309
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"last_updated": "2026-03-01T03:02:57Z",
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"stars": 4320
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},
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"overview": "## Magic MCP Server\n\nThe magic-mcp server is a Model Context Protocol (MCP) server that enables AI assistants and agents to interact with Magic, a platform for AI-assisted software development and code understanding. It allows AI-driven workflows to generate, edit, and reason about code with deeper project awareness — turning Magic's code intelligence capabilities into native tools inside MCP-compatible assistants. This server excels particularly in code generation, refactoring, large-scale codebase understanding, and developer productivity workflows augmented by AI.",
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"permissions": {
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"packages": [
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{
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"registryType": "oci",
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"identifier": "docker.io/mongodb/mongodb-mcp-server:1.6.0",
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"identifier": "docker.io/mongodb/mongodb-mcp-server:1.7.0",
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"transport": {
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"type": "stdio"
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},
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"_meta": {
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"io.modelcontextprotocol.registry/publisher-provided": {
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"io.github.stacklok": {
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"docker.io/mongodb/mongodb-mcp-server:1.6.0": {
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"docker.io/mongodb/mongodb-mcp-server:1.7.0": {
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"metadata": {
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"last_updated": "2026-02-26T11:45:43Z",
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"stars": 926
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"io.github.stacklok": {
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"docker.io/mcp/perplexity-ask:latest": {
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"metadata": {
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"last_updated": "2026-02-26T10:31:17Z",
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"stars": 1981
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"last_updated": "2026-03-01T03:02:57Z",
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"stars": 1987
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},
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"overview": "## Perplexity Ask MCP Server\n\nThe perplexity-ask MCP server integrates Perplexity AI's Sonar API for live web searches, in-depth research, and reasoning tasks. The server provides three specialized tools: perplexity_ask for quick web search using the Sonar API, perplexity_research for comprehensive research with detailed citations, and perplexity_reason for advanced reasoning for complex problem-solving.",
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"permissions": {
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"io.github.stacklok": {
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"docker.io/mcp/sequentialthinking:latest": {
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"metadata": {
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"last_updated": "2026-02-26T10:31:17Z",
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"stars": 79448
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"last_updated": "2026-03-01T03:02:57Z",
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"stars": 79727
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},
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"overview": "## Sequential Thinking MCP Server\n\nThe sequentialthinking MCP server enables dynamic problem-solving with a structured, reflective approach that adapts as understanding deepens. Key capabilities include structured reflective problem-solving, dynamic adaptation during analysis, step-by-step chain-of-thought reasoning, and branching thought processes for comprehensive exploration.",
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"permissions": {
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"io.github.stacklok": {
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"ghcr.io/stacklok/dockyard/npx/tavily-mcp:0.2.16": {
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"metadata": {
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"last_updated": "2026-02-26T10:31:17Z",
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"stars": 1247
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"last_updated": "2026-03-01T03:02:56Z",
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"stars": 1265
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},
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"overview": "## Tavily MCP Server\n\nThe tavily-mcp server is a Model Context Protocol (MCP) server that enables AI assistants and agents to perform real-time web search and research using Tavily. It allows AI-driven workflows to retrieve fresh, relevant information from the web — including articles, documentation, and summaries — without relying solely on static training data or manual browsing. This server is especially useful for research, question answering, competitive analysis, and any workflow where up-to-date information is critical.",
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"permissions": {
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"io.github.stacklok": {
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"docker.io/mcp/time:latest": {
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"metadata": {
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"stars": 79448
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"last_updated": "2026-03-01T03:02:56Z",
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"stars": 79727
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},
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"overview": "## Time MCP Server\n\nThe time MCP server provides time information and IANA timezone conversions with auto system timezone detection. The server leverages Python's timezone libraries to deliver current time queries across any IANA timezone with automatic detection of the system's local timezone when none is specified, time conversion capabilities between different timezones, timezone-aware datetime strings formatted in ISO 8601 standard, and Daylight Saving Time indicators. The server exposes two primary tools: get_current_time and convert_time.",
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"permissions": {

‎pkg/catalog/toolhive/data/registry.json‎

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{
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"$schema": "https://raw.githubusercontent.com/stacklok/toolhive-core/main/registry/types/data/toolhive-legacy-registry.schema.json",
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"version": "1.0.0",
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"last_updated": "2026-03-01T00:50:35Z",
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"last_updated": "2026-03-02T00:44:39Z",
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"servers": {
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"adb-mysql-mcp-server": {
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"title": "AnalyticDB for MySQL",
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"name": "suggest_aws_commands"
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}
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],
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"image": "public.ecr.aws/awslabs-mcp/awslabs/aws-api-mcp-server:1.3.13",
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"image": "public.ecr.aws/awslabs-mcp/awslabs/aws-api-mcp-server:1.3.16",
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"permissions": {
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"network": {
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"outbound": {
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"oncall"
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],
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"overview": "## Grafana MCP Server\n\nThe grafana MCP server is a Model Context Protocol (MCP) server that enables AI assistants and agents to interact directly with Grafana dashboards, data sources, and observability resources through a structured, AI-friendly interface. It allows AI-driven workflows to explore metrics, logs, alerts, and dashboards without switching tools or manually navigating the Grafana UI. This server is ideal for observability, incident response, performance analysis, and operational workflows where real-time telemetry and monitoring context are essential.",
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"image": "docker.io/grafana/mcp-grafana:0.11.0",
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"image": "docker.io/grafana/mcp-grafana:0.11.2",
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"target_port": 8000,
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"permissions": {
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"network": {
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"logo_search"
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],
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"metadata": {
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"stars": 4309,
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"stars": 4320,
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"last_updated": "2026-03-01T03:02:57Z"
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},
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"repository_url": "https://github.com/21st-dev/magic-mcp",
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"tags": [
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"query"
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],
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"overview": "## MongoDB MCP Server\n\nThe mongodb MCP server is a Model Context Protocol (MCP) server that enables AI assistants and agents to interact directly with MongoDB databases through a structured, AI-friendly interface. It allows AI-driven workflows to inspect collections, query documents, and reason about schema-less data without switching tools or embedding MongoDB-specific drivers in the client. This server is especially useful for application development, data exploration, debugging, and analytics workflows where MongoDB is the primary data store.",
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"image": "docker.io/mongodb/mongodb-mcp-server:1.6.0",
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"image": "docker.io/mongodb/mongodb-mcp-server:1.7.0",
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"permissions": {
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"network": {
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"outbound": {
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"perplexity_research"
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],
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"metadata": {
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"stars": 1981,
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"stars": 1987,
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"last_updated": "2026-03-01T03:02:57Z"
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},
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"repository_url": "https://github.com/ppl-ai/modelcontextprotocol",
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"tags": [
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"sequentialthinking"
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],
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"metadata": {
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"stars": 79448,
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"stars": 79727,
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"last_updated": "2026-03-01T03:02:57Z"
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},
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"repository_url": "https://github.com/modelcontextprotocol/servers",
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"tags": [
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"tavily_search"
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],
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"metadata": {
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"stars": 1265,
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"last_updated": "2026-03-01T03:02:56Z"
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},
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"repository_url": "https://github.com/tavily-ai/tavily-mcp",
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"tags": [
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"get_current_time"
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"metadata": {
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"last_updated": "2026-02-26T10:31:17Z"
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"stars": 79727,
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"last_updated": "2026-03-01T03:02:56Z"
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},
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"repository_url": "https://github.com/modelcontextprotocol/servers",
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"tags": [

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