Data · Local MCP server
Agentql
Query webpages and extract structured data using natural language.
What the MCP Registry states
The entry as published to the official MCP Registry (read 2026-10-04), latest version.
- Registry name
com.mcparmory/agentql- Version
- 1.0.8
- Status
- Active
- Category
- data
- Transport
- stdio (local process)
- Package
- PyPI, OCI image (Docker)
- Published
- 2026-05-11
- Updated
- 2026-05-11
- Publisher
- com.mcparmory · 76 servers with pages here
- Repository
- github.com/mcparmory/registry
- Source
- Registry API entry
Packages
| Registry | Package | Version | Transport |
|---|---|---|---|
| PyPIruntime: uvx | mcparmory-agentql | 1.0.8 | stdio |
| OCI image (Docker)runtime: docker | ghcr.io/mcparmory/agentql:1.0.8 | — | stdio |
How to connect Agentql
Agentql runs locally from a Python package published to PyPI: mcparmory-agentql version 1.0.8. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx mcparmory-agentql.
Agentql runs locally from a container image in an OCI registry such as Docker Hub or GitHub Container Registry: ghcr.io/mcparmory/agentql:1.0.8. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Docker or another OCI container runtime; started with docker run — the usual command is docker run -i --rm ghcr.io/mcparmory/agentql:1.0.8.
In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):
{
"mcpServers": {
"agentql": {
"command": "uvx",
"args": [
"mcparmory-agentql"
]
}
}
}Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect
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