Catalyst
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AI AgentsUpdated from GitHub

Casys-AI/mcp-erpnext

Let AI agents operate your ERPNext — documents, workflows, and interactive viewers

8433TypeScript190d old

Summary

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

Casys-AI/mcp-erpnext recorded 42 commits in the past 30 days, has 6 public contributors, and has averaged 0.4 stars a day since launch.

87

Repository health

38

Maintainer track record

88

Repository quality

48

Catalyst Score

Contributors

Public track record

Casys AI GitHub avatar
Casys AI

@Casys-AI · Repository organization

38/100

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

12 followers29 public repos2y history0 contributions
29 public repositories12 followers2 years of public history
Erwan Lee Pesle GitHub avatar
Erwan Lee Pesle

@superWorldSavior · Top contributor

66/100

Active maintainer with a growing open-source track record.

11 followers21 public repos10y history136 contributions
21 public repositories11 followers10 years of public history
Keshav Kumar GitHub avatar
Keshav Kumar

@notnotkeshav · Top contributor

57/100

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

8 followers68 public repos4y history21 contributions
68 public repositories8 followers4 years of public history
actions-user GitHub avatar
actions-user

@actions-user · Top contributor

84/100

Established maintainer with a long public history and active community.

5.6K followers0 public repos6y history9 contributions
0 public repositories5631 followers6 years of public history

Score breakdown

How the Catalyst Score was calculated

Star growth since launch+1
Fork growth since launch+1
Freshness+0
30-day commit activity+12
Contributor breadth+7
Maintainer track record+5
Topic activity+4
Repository quality+7
Topic novelty+11
Risk penalty0

Activity

Recent repository activity

42

Commits · 30d

6

Public contributors

0.4

Lifetime stars/day

0

Pull requests · 90d

Findings

What we found

42 commits in the last 30 days

6 public contributors

0 issues and 0 pull requests opened in 90 days

9 documentation and structure checks passed

Related repositories

ai-agents · 0 created in the past 30 days

Risk review

What needs watching

No material structural red flags detected; monitor maintainer concentration

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 6 public contributors

Top contributor share
80%
Top three share
97%
Contributors checked
6
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
5
Verified commits
18%
Merge commits
16%
Median time between commits
15 min

Repository footprint

Default branch: main

Repository size
2.6 MB
Branches
12
Tags
17
Watchers
3
DiscussionsIssue 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

TypeScript97.9%
CSS0.9%
JavaScript0.5%
Shell0.4%
HTML0.3%
Dockerfile0%

Community readiness

GitHub community health 100%

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

Pull request health

Latest 21 pull requests

Merge rate
95%
Median merge time
3.3 hours
Open
0
Stale over 30 days
0

Issue health

Latest 4 issues

Closure rate
50%
Median close time
24.6 hours
Open
2
Open without replies
2

Release cadence

Latest 11 release records

Latest release
v3.1.0-beta.4
Published in 90 days
9
Median cadence
4.6 days
Asset downloads
0

CI reliability

Latest 50 workflow runs

Success rate
86%
Workflows represented
2
Failed runs
6
Median duration
0.8 min

Last checked

8/27/2026, 4:24:15 AM

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