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Lumino MCP Server MCP Server

AI-powered SRE observability for Kubernetes/OpenShift with 40+ Tekton debugging tools

Publisher claimed. No tool list reported, and Pod has not connected to this server.

Status

Pod has not dialled Lumino MCP Server yet, so everything on this page is what its publisher reported rather than what we observed. Registries describe servers; they do not connect to them. Until a check runs, treat the tool list below as a claim.

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Published as lumino-mcp-server on pypi. Runs locally.

Known issues

103 problems reported by people outside the maintainer team. Issues filed by the project's own owners, members and collaborators are excluded — those are release checklists and internal refactors, not things that will go wrong for you. Showing 12.

Most discussed

BUG: ci_cd_performance_baselining_tool — Prometheus queries missing k8s API params

Bug

All 10 Prometheus queries in ci_cd_performance_baselining_tool call _execute_prometheus_query_internal(query) without passing k8s_core_api or k8s_custom_api. The function needs these for endpoint discovery, causing "Could not discover Prometheus/Thanos endpoint" on every call. The tool returns empty data for all tests.

Fix

Pass the k8s API clients to each query call:

_execute_prometheus_query_internal(query, k8s_core_api=k8s_core_api, k8s_custom_api=k8s_custom_api)

[Read the thread](https://github.com/spre-sre/lumino-mcp-server/issues/47) · 2026-06-20 · closed · 1 comment

### BUG: find_pipeline crashes with 'coroutine is not iterable' — run_in_executor wraps async functions

## Bug

`find_pipeline()` in `src/server-mcp.py` passes `async def` functions to `loop.run_in_executor()` which expects sync callables. This returns unawaited coroutine objects, causing `argument of type 'coroutine' is not a container or iterable` when the code checks `"error" in result`.

**6 affected calls** (all in find_pipeline):
- `loop.run_in_executor(executor, fetch_pipelineruns_namespaced, ns)`
- `loop.run_in_executor(executor, fetch_taskruns_namespaced, ns)`
- `loop.run_in_executor(exec

[Read the thread](https://github.com/spre-sre/lumino-mcp-server/issues/43) · 2026-06-20 · closed · 1 comment

### 🔴 [Critical] Fabricated metrics returned as real data in `correlate_with_metrics`

## Bug Report

### Severity
🔴 **Critical** — Data Integrity Violation

---

### Summary

In `src/helpers/event_analysis.py`, the function `correlate_with_metrics` was using `random.uniform()` to **generate fake CPU, memory, and network metrics** and returning them to callers as if they were real, live Kubernetes metrics. This means LLM clients and SRE engineers were making operational decisions based on entirely fabricated data — with no indication that the values were synthetic.

---

### Affec

[Read the thread](https://github.com/spre-sre/lumino-mcp-server/issues/39) · 2026-04-03 · closed · 1 comment

### [LOW] find_pipeline takes 80+ seconds on large clusters due to unbounded cluster-wide LIST

## Summary

`find_pipeline` takes 80+ seconds on production clusters with 500+ namespaces. The tool performs cluster-wide LIST operations for PipelineRuns (limit=200) and Repositories (limit=500) across all namespaces, then does sequential substring matching against all returned items.

## Observed Timing

- **stone-prod-p02** (500+ namespaces): 83.4 seconds for pattern "build"
- Compare to median of ~13s for other tools on the same cluster

## Root Cause

`server-mcp.py` (line ~3615-3622) issue

[Read the thread](https://github.com/spre-sre/lumino-mcp-server/issues/160) · 2026-07-08 · open · 0 comments

### [MEDIUM] conservative_namespace_overview misclassifies INFO-level JSON logs as critical issues

## Summary

`conservative_namespace_overview` reports INFO-level structured JSON log lines as "critical issues". An `info`-level log entry like `{"level":"info","ts":"2026-07-08T06:50:02Z","msg":"reconciliation complete"}` is flagged as a critical finding when its message text happens to contain error-related keywords.

## Root Cause

Two compounding issues:

### 1. Timestamp regex in `_get_structured_log_level()` doesn't handle timezone offsets

`log_analysis.py` (line ~354) uses this regex to 

[Read the thread](https://github.com/spre-sre/lumino-mcp-server/issues/159) · 2026-07-08 · open · 0 comments

### Most recent

### [LOW] Container user belongs to GID 0 (root group)

## File

`Containerfile`, line 47

```dockerfile
RUN useradd --uid 1001 --gid 0 --shell /bin/bash --create-home lumino && \
    mkdir -p /opt/app-root/src && \
    chown -R 1001:0 /opt/app-root && \
    chmod -R g+rwX /opt/app-root

Description

The lumino user is created with --gid 0, placing it in the root group. While this is standard OpenShift practice for arbitrary UID support (OpenShift assigns random UIDs that must still function, and GID 0 membership is the conventional way to

Read the thread · 2026-06-23 · open · 0 comments

[LOW] convert_duration_to_seconds/hours only support 3 input values but docs don't say so

File

src/helpers/utils.py, lines 2125–2134

Description

convert_duration_to_seconds() and convert_duration_to_hours() only support three hardcoded input values — "1h", "24h", and "7d" — via a dictionary lookup. Any other input silently returns the default value (86400 seconds or 24 hours) without any warning or error.

The docstrings currently read:

def convert_duration_to_seconds(duration: str) -> int:
    """Convert duration string to seconds."""
    duration

[Read the thread](https://github.com/spre-sre/lumino-mcp-server/issues/143) · 2026-06-23 · open · 0 comments

### [LOW] Duplicate parse_time_period() in utils.py and ml_persistence.py

## File Paths and Lines

- `src/helpers/utils.py` — line 141
- `src/helpers/ml_persistence.py` — line 1478
- `src/helpers/__init__.py` — lines 6 and 241

## Description

`parse_time_period()` is defined in two separate modules with slightly different implementations:

1. **`utils.py:141`** — Uses a regex pattern (`r'^(\d+)([smhd])$'`) for strict validation. Supports seconds (`s`), minutes (`m`), hours (`h`), and days (`d`). Raises `ValueError` on invalid input.

2. **`ml_persistence.py:1478`** —

[Read the thread](https://github.com/spre-sre/lumino-mcp-server/issues/142) · 2026-06-23 · open · 0 comments

### [LOW] AnalysisCache class lacks documentation of expiry, eviction, and thread-safety

## File

`src/helpers/log_analysis.py`, line 50

## Description

The `AnalysisCache` class docstring on line 51 reads only:

Simple in-memory cache for analysis results.


This does not document three important behavioral characteristics that a caller or maintainer needs to know:

1. **Cache expiry**: Entries expire after 10 minutes (600 seconds), as implemented in the `get()` method at line 70. A caller has no way to know this without reading the source.

2. **Eviction strategy**: When t

[Read the thread](https://github.com/spre-sre/lumino-mcp-server/issues/140) · 2026-06-23 · open · 0 comments

### [LOW] Architecture tree omits 2 helper modules

## File

`README.md`, line 520 (Architecture section, lines 516-530)

## Description

The architecture tree in the README shows the `helpers/` subpackage with only 6 modules:

└── helpers/ ├── constants.py ├── event_analysis.py ├── failure_analysis.py ├── log_analysis.py ├── resource_topology.py ├── semantic_search.py └── utils.py


However, the actual `src/helpers/` directory contains 8 modules (plus `__init__.py`). The two missing entries are:

- **`ml_persis

[Read the thread](https://github.com/spre-sre/lumino-mcp-server/issues/137) · 2026-06-23 · open · 0 comments

### [LOW] CPU detection heuristic may misidentify memory values

## File

`src/helpers/utils.py`, line 734

## Description

The `is_cpu` heuristic at line 734 determines whether a resource value represents CPU or memory based on simple pattern matching:

```python
is_cpu = used.endswith('m') or limit.endswith('m') or (
    used.count('.') > 0 and used[-1].isdigit())

The third condition (used.count('.') > 0 and used[-1].isdigit()) treats any value containing a decimal point and ending with a digit as a CPU value. However, a memory value like '1.5' (wi

Read the thread · 2026-06-23 · open · 0 comments

[LOW] Exception silently swallowed in get_current_cluster_id with no debug logging

Location

File: src/helpers/ml_persistence.py Line: 57

Description

In the get_current_cluster_id function, the second except Exception block (line 57) silently swallows all exceptions with a bare pass statement. This is the fallback path that attempts to detect an in-cluster Kubernetes configuration via the KUBERNETES_SERVICE_HOST environment variable.

# Fallback: try to get from in-cluster config
try:
    import os
    # In-cluster, use the API server from e

[Read the thread](https://github.com/spre-sre/lumino-mcp-server/issues/134) · 2026-06-23 · closed · 0 comments

[See all 19 reports Pod holds for Lumino MCP Server](/mcp/lumino-mcp-server/issues) — of 103 qualified upstream.

## Firsthand observations

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