Back to MCP Trust Indexm8ven
C
Emerging
74/100
4 days ago

Drain3 MCP Server

MCP server that wraps Drain3 for streaming log template mining, read-only matching, parameter extraction, and model persistence, exposing tools and resources to train on logs and query learned templates.

→ xinqihuang/Drain3MCPServer· listed on glama

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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Who stands behind it

xinqihuang

Source: Glama

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// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configDRAIN3_MCP_MAX_BATCH_SIZE1000 单次批量调用允许的最大日志条数
configDRAIN3_MCP_CONFIG_PATH包内 default_drain3.ini 自定义 Drain3 INI 配置路径
configDRAIN3_MCP_STATE_PATH"": "D:/data/drain3/state.bin"
// quality suggestions

Tool annotations

1/8 tools have annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

7/8 tools missing one or more hints — train_log (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); train_logs (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); match_log (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +4 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 2 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/xinqihuang-drain3mcpserver-bfav48)](https://m8ven.ai/mcp/xinqihuang-drain3mcpserver-bfav48)
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commit: 09af7426f1d7640f23715199a7b33a94a876f349
code hash: 93e7f554a31f1d41747bfeb28fff93c4196e9842e131f6600335c6ec9b07bbc7
verified: 8/15/2026, 9:27:56 AM
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