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C
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73/100
14 days ago

loki-tail-mcp

An MCP server for Grafana Loki that enables LLMs to query, tail, and analyze logs, featuring fuzzy container-name matching, compact output, and tools for log patterns, volume, and label discovery. It can run as a local stdio server or a containerized HTTP service.

→ snickery/loki-tail-mcp· listed on glama

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Who stands behind it

snickery

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.
🔐
You'll be asked for 1 credential: MCP_BEARER_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// 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.
configLOKI_URL"env": { "": "http://your-loki-host:3100" }
configLOKI_TIMEOUT30 Upstream request timeout (s).
configLOKI_TENANT_ID(empty) Sent as X-Scope-OrgID for multi-tenant Loki.
configLOKI_BASIC_AUTH(empty) user:password for a basic-auth-fronted Loki (reverse proxy, Grafana Cloud).
configLOKI_ALIASES(empty) Extra vocabulary merged over the built-ins: term=fragment or term=frag\frag2, comma-separated (e.g. cache=redis\valkey,db=postgres).
configLOKI_EPHEMERAL_PATTERNS(built-ins) Comma-separated regexes marking names as ephemeral; replaces the defaults when set.
configLOKI_DEFAULT_LIMIT/ LOKI_MAX_LIMIT 100 / 1000 Row caps — Loki will happily return millions of rows; an MCP client will happily feed them to an LLM. Neither is what you want.
configLOKI_MAX_LIMITLOKI_DEFAULT_LIMIT / 100 / 1000 Row caps — Loki will happily return millions of rows; an MCP client will happily feed them to an LLM. Neither is what you want.
🔐 secretMCP_BEARER_TOKENto start without ; clients authenticate with
Deployment configuration, supplied by whoever hosts the server. Users are not asked for these.
deployPORT
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

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

All four hints declared on every tool

9/9 tools missing one or more hints — loki_query_range (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); loki_query_instant (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); loki_tail_container (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +6 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.

Tests exist

No test files found

Add tests that exercise each declared tool.

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 3 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/snickery-loki-tail-mcp-vzla3l)](https://m8ven.ai/mcp/snickery-loki-tail-mcp-vzla3l)
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commit: 3371602a4f0ca18a979d50b51745c5c9d1499613
code hash: c8904990030975e5745157b3e10fb1c44b1010cff056de3dcd636501665f7e29
verified: 8/7/2026, 7:51:24 AM
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