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AI AgentsUpdated from GitHub

sandeepbazar/ocm-mcp-server

An MCP server that lets AI agents operate a multi-cluster Kubernetes fleet through an Open Cluster Management hub, with policy, approval, and audit between the model and your clusters.

4311Python31d old

Summary

The available public data is mixed. More sustained activity or a broader contributor base would strengthen the score.

sandeepbazar/ocm-mcp-server recorded 104 commits in the past 30 days, has 2 public contributors, and has averaged 1.4 stars a day since launch.

76

Repository health

53

Maintainer track record

97

Repository quality

48

Catalyst Score

Contributors

Public track record

sandeepbazar GitHub avatar
sandeepbazar

@sandeepbazar · Repository owner

53/100

This account has a limited public history, so the track-record score is less certain.

2 followers16 public repos12y history140 contributions
16 public repositories2 followers12 years of public history
dependabot[bot] GitHub avatar
dependabot[bot]

@dependabot[bot] · Top contributor

18/100

This account has a limited public history, so the track-record score is less certain.

0 followers0 public repos7y history6 contributions
0 public repositories0 followers7 years of public history

Score breakdown

How the Catalyst Score was calculated

Star growth since launch+2
Fork growth since launch+1
Freshness+4
30-day commit activity+12
Contributor breadth+4
Maintainer track record+6
Topic activity+4
Repository quality+8
Topic novelty+10
Risk penalty3

Activity

Recent repository activity

104

Commits · 30d

2

Public contributors

1.4

Lifetime stars/day

0

Pull requests · 90d

Findings

What we found

104 commits in the last 30 days

2 public contributors

0 issues and 0 pull requests opened in 90 days

12 documentation and structure checks passed

Related repositories

ai-agents · 0 created in the past 30 days

Risk review

What needs watching

Contributor concentration is high

Public GitHub data cannot verify private work, employment claims, code security, or identity. Use the track-record score as research context, not proof of identity or trustworthiness.

Growth quality

Recent attention and maintainer concentration

Recent timestamps and contribution patterns help distinguish sustained adoption from a single headline number.

Contributor concentration

Top 2 public contributors

Top contributor share
96%
Top three share
100%
Contributors checked
2
Concentration
High

Shares use the contribution totals reported for the contributors checked, not private or unlinked activity.

Recent commit sample

Latest 100 commits

Unique authors
2
Verified commits
12%
Merge commits
6%
Median time between commits
8 min

Repository footprint

Default branch: main

Repository size
21.3 MB
Branches
6
Tags
5
Watchers
2
DiscussionsWikiGitHub PagesIssue tracking

Deeper GitHub data

Delivery, collaboration, and project readiness

These metrics use the latest public records GitHub makes available for this repository.

Language composition

Share of detected source bytes

Python80%
Shell6.8%
CSS6%
HTML3.3%
JavaScript2.9%
Dockerfile0.5%

Community readiness

GitHub community health 100%

README
License
Contributing guide
Code of conduct
Issue template
Pull request template

Pull request health

Latest 31 pull requests

Merge rate
23%
Median merge time
7.9 days
Open
5
Stale over 30 days
0

Release cadence

Latest 4 release records

Latest release
v0.4.0
Published in 90 days
4
Median cadence
1.4 days
Asset downloads
0

CI reliability

Latest 50 workflow runs

Success rate
96%
Workflows represented
7
Failed runs
2
Median duration
1.0 min

Last checked

8/26/2026, 2:15:30 AM

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