|
2 | 2 | "$schema": "https://raw.githubusercontent.com/stacklok/toolhive-core/main/registry/types/data/upstream-registry.schema.json", |
3 | 3 | "version": "1.0.0", |
4 | 4 | "meta": { |
5 | | - "last_updated": "2026-04-25T00:52:28Z" |
| 5 | + "last_updated": "2026-04-27T14:56:47Z" |
6 | 6 | }, |
7 | 7 | "data": { |
8 | 8 | "servers": [ |
|
308 | 308 | "io.github.stacklok": { |
309 | 309 | "ghcr.io/apollographql/apollo-mcp-server:v1.13.0": { |
310 | 310 | "metadata": { |
311 | | - "last_updated": "2026-03-27T03:03:46Z", |
312 | | - "stars": 276 |
| 311 | + "last_updated": "2026-04-27T03:05:26Z", |
| 312 | + "stars": 279 |
313 | 313 | }, |
314 | 314 | "overview": "## Apollo MCP Server\n\nThe apollo-mcp-server is a Model Context Protocol (MCP) server implementation that makes your GraphQL API operations available as MCP tools for AI assistants and agents. It acts as a translation layer between AI clients and your GraphQL infrastructure, exposing query and mutation capabilities through MCP so models can fetch, explore, and orchestrate your graph operations without bespoke tooling.", |
315 | 315 | "permissions": { |
|
1833 | 1833 | "packages": [ |
1834 | 1834 | { |
1835 | 1835 | "registryType": "oci", |
1836 | | - "identifier": "mcr.microsoft.com/azure-sdk/azure-mcp:2.0.1", |
| 1836 | + "identifier": "mcr.microsoft.com/azure-sdk/azure-mcp:2.0.2", |
1837 | 1837 | "transport": { |
1838 | 1838 | "type": "stdio" |
1839 | 1839 | }, |
|
1874 | 1874 | "_meta": { |
1875 | 1875 | "io.modelcontextprotocol.registry/publisher-provided": { |
1876 | 1876 | "io.github.stacklok": { |
1877 | | - "mcr.microsoft.com/azure-sdk/azure-mcp:2.0.1": { |
| 1877 | + "mcr.microsoft.com/azure-sdk/azure-mcp:2.0.2": { |
1878 | 1878 | "metadata": { |
1879 | | - "last_updated": "2026-04-14T21:54:02Z", |
| 1879 | + "last_updated": "2026-04-25T02:08:18Z", |
1880 | 1880 | "stars": 1206 |
1881 | 1881 | }, |
1882 | 1882 | "overview": "## Azure MCP Server\n\nThe azure MCP server is a Model Context Protocol (MCP) server that enables AI assistants and agents to interact directly with Microsoft Azure resources and APIs through a unified, AI-friendly interface. It allows natural-language workflows to explore, query, and manage Azure infrastructure and services without requiring custom SDK integration or manual portal usage. This server is well suited for cloud operations, infrastructure exploration, troubleshooting, and automation scenarios where Azure context needs to be embedded directly into AI-driven workflows.", |
|
15825 | 15825 | "packages": [ |
15826 | 15826 | { |
15827 | 15827 | "registryType": "oci", |
15828 | | - "identifier": "ghcr.io/stacklok/dockyard/npx/heroku-mcp-server:1.2.1", |
| 15828 | + "identifier": "ghcr.io/stacklok/dockyard/npx/heroku-mcp-server:1.2.2", |
15829 | 15829 | "transport": { |
15830 | 15830 | "type": "stdio" |
15831 | 15831 | }, |
|
15847 | 15847 | "_meta": { |
15848 | 15848 | "io.modelcontextprotocol.registry/publisher-provided": { |
15849 | 15849 | "io.github.stacklok": { |
15850 | | - "ghcr.io/stacklok/dockyard/npx/heroku-mcp-server:1.2.1": { |
| 15850 | + "ghcr.io/stacklok/dockyard/npx/heroku-mcp-server:1.2.2": { |
15851 | 15851 | "metadata": { |
15852 | | - "last_updated": "2026-04-21T23:55:31Z", |
| 15852 | + "last_updated": "2026-04-27T13:57:24Z", |
15853 | 15853 | "stars": 77 |
15854 | 15854 | }, |
15855 | 15855 | "overview": "## Heroku MCP Server\n\nThe heroku-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants and agents to interact directly with the Heroku platform through a structured, AI-friendly interface. It allows AI-driven workflows to inspect applications, manage deployments, review configuration, and reason about runtime behavior without switching tools or manually using the Heroku CLI or dashboard. Key capabilities include application lifecycle management, deployment workflows, runtime insight for dynos and process scaling, and operational visibility through logs and platform metadata.", |
|
15979 | 15979 | "type": "string" |
15980 | 15980 | }, |
15981 | 15981 | "relativePath": { |
15982 | | - "description": "Virtual path for tarball entry.", |
| 15982 | + "description": "Relative virtual path for each staged source file (strict character set).", |
| 15983 | + "maxLength": 512, |
| 15984 | + "minLength": 1, |
15983 | 15985 | "type": "string" |
15984 | 15986 | } |
15985 | 15987 | }, |
|
16842 | 16844 | "homepage": "https://huggingface.co/mcp" |
16843 | 16845 | }, |
16844 | 16846 | "metadata": { |
16845 | | - "last_updated": "2026-03-27T03:03:46Z" |
| 16847 | + "last_updated": "2026-04-27T03:05:26Z" |
16846 | 16848 | }, |
16847 | 16849 | "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.", |
16848 | 16850 | "status": "Active", |
|
20405 | 20407 | "homepage": "https://linear.app/docs/mcp" |
20406 | 20408 | }, |
20407 | 20409 | "metadata": { |
20408 | | - "last_updated": "2026-03-27T03:03:46Z" |
| 20410 | + "last_updated": "2026-04-26T03:04:32Z" |
20409 | 20411 | }, |
20410 | 20412 | "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.", |
20411 | 20413 | "status": "Active", |
|
22100 | 22102 | "author": "Neon" |
22101 | 22103 | }, |
22102 | 22104 | "metadata": { |
22103 | | - "last_updated": "2026-03-26T03:03:42Z" |
| 22105 | + "last_updated": "2026-04-26T03:04:31Z" |
22104 | 22106 | }, |
22105 | 22107 | "overview": "## Neon Remote MCP Server\n\nNeon's official remote MCP server for serverless Postgres with branching and migrations. The server enables project and organization management for Neon Postgres databases, SQL execution with schema and transaction support, database branching for development and testing workflows, plus query tuning and performance optimization features.", |
22106 | 22108 | "status": "Active", |
|
42366 | 42368 | "packages": [ |
42367 | 42369 | { |
42368 | 42370 | "registryType": "oci", |
42369 | | - "identifier": "ghcr.io/stacklok/dockyard/npx/tavily-mcp:0.2.18", |
| 42371 | + "identifier": "ghcr.io/stacklok/dockyard/npx/tavily-mcp:0.2.19", |
42370 | 42372 | "transport": { |
42371 | 42373 | "type": "stdio" |
42372 | 42374 | }, |
|
42383 | 42385 | "_meta": { |
42384 | 42386 | "io.modelcontextprotocol.registry/publisher-provided": { |
42385 | 42387 | "io.github.stacklok": { |
42386 | | - "ghcr.io/stacklok/dockyard/npx/tavily-mcp:0.2.18": { |
| 42388 | + "ghcr.io/stacklok/dockyard/npx/tavily-mcp:0.2.19": { |
42387 | 42389 | "metadata": { |
42388 | | - "last_updated": "2026-04-15T03:03:58Z", |
| 42390 | + "last_updated": "2026-04-27T13:57:30Z", |
42389 | 42391 | "stars": 1759 |
42390 | 42392 | }, |
42391 | 42393 | "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.", |
|
42659 | 42661 | "description": "Will return all results before the specified end date. Required to be written in the format YYYY-MM-DD", |
42660 | 42662 | "type": "string" |
42661 | 42663 | }, |
| 42664 | + "exact_match": { |
| 42665 | + "description": "Only return results containing the exact phrase(s) in quotes in your query", |
| 42666 | + "type": "boolean" |
| 42667 | + }, |
42662 | 42668 | "exclude_domains": { |
42663 | 42669 | "default": [], |
42664 | 42670 | "description": "List of domains to specifically exclude, if the user asks to exclude a domain set this to the domain of the site", |
|
44519 | 44525 | "packages": [ |
44520 | 44526 | { |
44521 | 44527 | "registryType": "oci", |
44522 | | - "identifier": "ghcr.io/stackloklabs/toolhive-doc-mcp:v0.0.13-20260420", |
| 44528 | + "identifier": "ghcr.io/stackloklabs/toolhive-doc-mcp:v0.0.13-20260427", |
44523 | 44529 | "transport": { |
44524 | 44530 | "type": "streamable-http", |
44525 | 44531 | "url": "http://localhost:8080" |
|
44550 | 44556 | "_meta": { |
44551 | 44557 | "io.modelcontextprotocol.registry/publisher-provided": { |
44552 | 44558 | "io.github.stacklok": { |
44553 | | - "ghcr.io/stackloklabs/toolhive-doc-mcp:v0.0.13-20260420": { |
| 44559 | + "ghcr.io/stackloklabs/toolhive-doc-mcp:v0.0.13-20260427": { |
44554 | 44560 | "metadata": { |
44555 | 44561 | "last_updated": "2026-04-16T10:07:59Z", |
44556 | 44562 | "stars": 3 |
|
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