What runtime is required to run Baseline MCP Server?
Deno is recommended for running the server. You must allow network access to `api.webstatus.dev`.
@yamanoku
Basic information
特定のWeb APIに関するBaselineの状況を提供するModel Context Protocolサーバー
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"baseline-mcp-server": {
"command": "deno",
"args": [
"run",
"--allow-net=api.webstatus.dev",
"jsr:@yamanoku/baseline-mcp-server"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Baseline MCP Server is a Model Context Protocol server that provides Web Platform API support status using the Web Platform Dashboard API. It allows users to query Baseline status of web features and returns results to MCP clients for use with various AI models.
Configure the server in your MCP client (Claude Desktop, VS Code) by running it with Deno or Docker. Deno is recommended; grant permission only for api.webstatus.dev. The JSR package @yamanoku/baseline-mcp-server is used. JSON configuration examples are provided for cline_mcp_settings.json and VS Code settings.json.
Deno is recommended for running the server. You must allow network access to `api.webstatus.dev`.
Add a `baseline-mcp-server` entry to `cline_mcp_settings.json` with the command `deno run --allow-net=api.webstatus.dev jsr:@yamanoku/baseline-mcp-server`.
It uses the Web Platform Dashboard API (`api.webstatus.dev`) to retrieve feature support information.
It reports four statuses: widely (broadly supported), newly (newly standardized), limited (partial support), and no_data (not yet in Baseline).
Yes. Build the Docker image with `docker build -t baseline-mcp-server .`, then configure your MCP client to run `docker run -i baseline-mcp-server:latest`.

Model Context Protocol Servers

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.
Open-source MCP to use Blender with any LLM

Yuppsy MCP: build and publish real estate websites from your AI assistant. Yuppsy lets your AI assistant create live websites for real estate agents and individual property listings. You don't need a designer or any code
Comments