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io.github.thunderbit-open/thunderbit-mcp-server is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding io.github.thunderbit-open/thunderbit-mcp-server to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
npx -y @thunderbit/mcp-server@1.0.3Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-05-20T09:04:01.82534Z",
"publishedAt": "2026-05-20T09:04:01.82534Z",
"statusChangedAt": "2026-05-20T09:04:01.82534Z"
}
},
"server": {
"name": "io.github.thunderbit-open/thunderbit-mcp-server",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "1.0.3",
"packages": [
{
"version": "1.0.3",
"transport": {
"type": "stdio"
},
"identifier": "@thunderbit/mcp-server",
"registryType": "npm",
"environmentVariables": [
{
"name": "THUNDERBIT_API_KEY",
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "Your Thunderbit API key (tb_...). Get one at https://app.thunderbit.com/console"
}
]
}
],
"repository": {
"url": "https://github.com/thunderbit-open/thunderbit-mcp-server",
"source": "github"
},
"description": "AI-powered web scraping MCP. Distill pages to Markdown or extract structured data via JSON Schema."
}
}