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Query webpages and extract structured data using natural language
com.mcparmory/agentql is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 64/100. 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 com.mcparmory/agentql to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
uvx mcparmory-agentql==1.0.8Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-05-11T22:51:37.478389Z",
"publishedAt": "2026-05-11T22:51:37.478389Z",
"statusChangedAt": "2026-05-11T22:51:37.478389Z"
}
},
"server": {
"name": "com.mcparmory/agentql",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "1.0.8",
"packages": [
{
"version": "1.0.8",
"transport": {
"type": "stdio"
},
"identifier": "mcparmory-agentql",
"runtimeHint": "uvx",
"registryType": "pypi"
},
{
"transport": {
"type": "stdio"
},
"identifier": "ghcr.io/mcparmory/agentql:1.0.8",
"runtimeHint": "docker",
"registryType": "oci"
}
],
"repository": {
"url": "https://github.com/mcparmory/registry",
"source": "github"
},
"description": "Query webpages and extract structured data using natural language"
}
}