qinglong-mcp-server
Provides an MCP (Model Context Protocol) server integration for QingLong (often a task automation panel), exposing QingLong capabilities to AI agents via MCP tools.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Not enough repository content provided to verify TLS enforcement, auth mechanism strength, scope granularity, or secret handling. As a self-hosted MCP server, key risks are: exposing credentials to the MCP process, insufficient access control on agent-invokable tools, and lack of clear boundaries for what the agent can mutate in QingLong.
⚡ Reliability
Best When
You have a QingLong instance you want to control programmatically from an MCP-capable agent, and you can run/route the MCP server safely within your network.
Avoid When
You cannot review/authenticate tool access controls, or you need documented rate limits, retries, and idempotency guarantees for safe agent retries.
Use Cases
- • Let an AI agent read and manipulate QingLong resources (e.g., tasks/cron scripts/configs) through MCP tools
- • Automate maintenance/operations workflows by connecting agent actions to QingLong task execution
- • Build agent-driven runbooks that trigger or manage QingLong schedules and scripts
Not For
- • Production use without verifying the MCP server’s security posture and tool coverage
- • Use as a general-purpose HTTP API gateway (it is MCP-focused, not a full REST service)
- • Environments where outbound access to QingLong is prohibited or tightly restricted
Interface
Authentication
The provided prompt includes only the package name/identifier, not README or manifest details. Authentication and scope model cannot be confirmed from the available data.
Pricing
Self-hosted tooling; no pricing information provided in the input.
Agent Metadata
Known Gotchas
- ⚠ Agent retries may cause repeated QingLong actions if tool operations are not idempotent
- ⚠ Tool parameter/response schema mismatches can cause agent failures if not clearly documented
- ⚠ If MCP server forwards QingLong errors verbatim, agents may need guidance to distinguish retryable vs non-retryable failures
Alternatives
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Scores are editorial opinions as of 2026-04-04.