com.mcparmory/agentql
PYPI · MCPARMORY-AGENTQL · 2 COMPONENTS · SCANNED SEP 20
Query webpages and extract structured data using natural language
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security87
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Install-script risk not yet assessed.Unverified
- 2 of 41 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency32
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- License check failed: the license (MIT License) isn't a recognized OSI-approved license. See how to fix → Fail
- Actively maintained (last published 131 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability67
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 913 tokens (~228/item across 4 items; 4 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management90
- Stability observed for 27 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 4 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
How do I install the com.mcparmory/agentql MCP server?
com.mcparmory/agentql runs locally as a PyPI package, launched with uvx mcparmory-agentql. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · mcparmory-agentql
claude mcp add com-mcparmory-agentql -- uvx mcparmory-agentql
{
"mcpServers": {
"com-mcparmory-agentql": {
"command": "uvx",
"args": [
"mcparmory-agentql"
]
}
}
} {
"servers": {
"com-mcparmory-agentql": {
"command": "uvx",
"args": [
"mcparmory-agentql"
]
}
}
} codex mcp add com-mcparmory-agentql -- uvx mcparmory-agentql
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"com-mcparmory-agentql": {
"type": "local",
"command": [
"uvx",
"mcparmory-agentql"
],
"enabled": true
}
}
} openclaw mcp add com-mcparmory-agentql --command uvx --arg mcparmory-agentql
mcp_servers:
com-mcparmory-agentql:
command: "uvx"
args: ["mcparmory-agentql"] {
"McpServers": {
"com-mcparmory-agentql": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"mcparmory-agentql"
]
}
}
} assistant mcp add com-mcparmory-agentql -t stdio -c uvx -a mcparmory-agentql
{
"mcpServers": {
"com-mcparmory-agentql": {
"command": "uvx",
"args": [
"mcparmory-agentql"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 20 Sept 26 +15
- Malware scan: unverified → pass ▲ security
- 19 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 17 Sept 26 −18
- Malware scan: pass → unverified ▼ security
- Stability: pass → 0.80 functional
- 16 Sept 26 +1
- Stability: 0.97 → pass security
- 15 Sept 26 +15
- Malware scan: unverified → pass ▲ security
- 14 Sept 26 −14
- Malware scan: pass → unverified ▼ security
- 12 Sept 26 +16
- Malware scan: unverified → pass ▲ security
- 11 Sept 26 −18
- Malware scan: pass → unverified ▼ security
- Stability: pass → 0.83 functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 20 Sept 2026 · Analysed pypi/mcparmory-agentql@1.0.8
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
Background: How many MCP packages publish verified provenance →
Dependencies 41 packages
| Packages resolved | 41 |
|---|---|
| Stale | 1 |
| No linked repository | 1 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
create_browser_session Create Browser Session ~280
Creates a new Tetra browser session with configurable user agent, profile, proxy, and lifecycle settings. Returns session details needed to connect and interact with the browser.
| Name | Type | Req | Description |
|---|---|---|---|
| browser_profile | string | – | The browser profile determining capability and detection resistance: 'light' prioritizes speed with minimal overhead, 'stealth' enables full anti-detection features, and 'tf-browser' uses a custom TF… |
| browser_ua_preset | string | – | The operating system user agent preset the browser will identify as, affecting how websites perceive the client environment. |
| inactivity_timeout_seconds | integer | – | How long the session remains alive without active connections before being shut down, applicable when shutdown_mode is 'on_inactivity_timeout'. Accepts values between 5 seconds and 86400 seconds (24… |
| proxy | – | – | Proxy server configuration to route browser traffic through for this session, such as host, port, protocol, and credentials. |
| shutdown_mode | string | – | Controls session teardown behavior on disconnect: 'on_disconnect' immediately stops the session when all connections close, while 'on_inactivity_timeout' keeps the session alive to allow reconnection… |
| sub_user_id | string | – | An optional identifier used to associate this session with a specific sub-user within your account, useful for tracking and auditing sessions across multiple users. |
No output schema declared.
No examples provided.
get_usage Get Usage ~32
Retrieves current API key usage statistics and subscription details for the authenticated account. Useful for monitoring consumption limits and understanding remaining quota.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_session_usage List Session Usage ~214
Retrieve a paginated list of Tetra browser session usage records for the authenticated user, with optional filtering by user, session, time range, and status.
| Name | Type | Req | Description |
|---|---|---|---|
| end_before | string | – | Return only sessions that ended before this timestamp, specified in ISO 8601 date-time format. |
| limit | integer | – | Maximum number of session records to return per page; must be between 1 and 1000. |
| page | integer | – | Page number to retrieve for paginated results; must be 1 or greater. |
| session_id | string | – | Filter results to a specific browser session by its unique session identifier. |
| start_after | string | – | Return only sessions that started after this timestamp, specified in ISO 8601 date-time format. |
| status | string | – | Filter sessions by their current lifecycle status; use 'running' for active sessions or 'ended' for completed sessions. |
| sub_user_id | string | – | Filter results to only include sessions belonging to a specific sub-user under the authenticated account. |
No output schema declared.
No examples provided.
query_webpage_data Query Webpage Data ~387
Extracts structured data from a webpage using an AgentQL query or a natural language prompt. Accepts either a live URL or raw HTML as the data source.
| Name | Type | Req | Description |
|---|---|---|---|
| browser_profile | string | – | Determines the browser profile used for the session: 'light' uses a fast headless browser, 'stealth' applies anti-detection techniques for bot-protected pages. |
| content-type | string | yes | MIME type of the request body, required to correctly parse the payload. |
| html | string | – | Raw HTML content of the webpage to query, used as an alternative to providing a live URL. |
| is_screenshot_enabled | boolean | – | When enabled, a screenshot of the page is captured during the query session, which may be useful for debugging or visual verification. |
| is_scroll_to_bottom_enabled | boolean | – | When enabled, the browser scrolls to the bottom of the page before capturing the snapshot, useful for triggering lazy-loaded content. |
| mode | string | – | Controls the response generation strategy: 'fast' prioritizes speed, 'standard' prioritizes accuracy and completeness. |
| prompt | string | – | A natural language description of the data to extract, used to auto-generate an AgentQL query when no explicit query is provided. |
| proxy | – | – | Optional proxy configuration to route the browser session through a specific proxy server, useful for geo-restricted or access-controlled pages. |
| query | string | – | An AgentQL (AQL) query string specifying the exact data fields to extract from the page. If omitted, a query will be auto-generated from the prompt. |
| url | string | – | The fully qualified URL of the webpage to load and query. Either url or html must be provided as the data source. |
| wait_for | integer | – | Number of seconds to wait for dynamic page content to load before capturing the snapshot. Maximum allowed wait time is 10 seconds. |
No output schema declared.
No examples provided.
What is the com.mcparmory/agentql MCP server?
com.mcparmory/agentql is an MCP server listed in the public MCP registry as com.mcparmory/agentql. Query webpages and extract structured data using natural language. This page covers its PyPI package (mcparmory-agentql).
Is the com.mcparmory/agentql MCP server safe to use?
com.mcparmory/agentql scores 75 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the com.mcparmory/agentql MCP server expose?
com.mcparmory/agentql exposes 4 tools: query_webpage_data, get_usage, create_browser_session, list_session_usage. Their descriptions and schemas cost roughly 913 tokens of context every time the server is loaded.
Is the com.mcparmory/agentql MCP server still maintained?
com.mcparmory/agentql is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.