mongodbAI apps
kingfisher
Rust secret scanner from MongoDB with live validation, scope mapping, and optional revocation workflows.
- Windows
- macOS
- Linux
- Browser
- Runs locally
- Docker supported
- Needs API key

- Popularity
- 1.3k Stars
- GitHub stars
- Recent activity
- 10/7/2026
- Updated in the last 30 days
- License
- APACHE-2.0
- Permissive
Why it matters
We look beyond stars: what problem it solves, whether it creates real utility, and what makes its approach worth noticing.
Problem
Secret leaks in repositories and collaboration platforms remain a persistent risk, while traditional tools often generate high false-positive rates and lack live validation.
Practical value
Delivers practical value through Rust and SIMD-accelerated large-scale scanning, integrated live credential validation, permission scope mapping, and a browser-based report viewer.
Innovation / differentiation
Differs from traditional scanners by combining a vector-scan regex engine, multi-source rule catalogs, direct credential revocation, and blast-radius mapping.
Leverage potential
Offers high leverage for security auditing workflows by integrating into CI pipelines, cloud storage, chat, and documentation platforms, alongside third-party report importing.
Why now
Released at a time when software supply chain security is heavily scrutinized and enterprises urgently need automated credential detection and lifecycle management.
Community activity
In the last 90 days there were 33 new issues and 89 pull requests; the bounded issue/PR samples include 13 issue authors and 10 PR contributors, with at least 21 releases.
Maintainer responsiveness
The 33-issue window sample had a 94% close rate, and the 89-pull-request sample had a 38% merge rate. Maintainer-response observations covered 61% of that issue sample, with a 85% response rate and median first response of 1.9 days.
Key highlights
- Scan code, Git history, and integrated platforms (GitHub, GitLab, Azure Repos, Bitbucket, Gitea, Hugging Face, Jira, Con
- Validate discovered credentials against provider APIs to reduce false positives
- Revoke supported secrets directly from the CLI
Quick start
How it is installed, how hard it is, and where to start.
Best for
- Developers who want to try it on their machine
- People who prefer Docker deploys
Watch outs
- 5 inferred from materials — review under Sources below
More about it
Kingfisher is MongoDB’s open-source secret scanner: Rust (including SIMD paths) for large codebases, plus live validation so findings are more than “looks like a key.” For security teams, false positives often cost more than missed heuristics.
It fits CI or periodic scans across monorepos and multi-repo estates. Detection still needs a human-owned rotation and access-reduction process—the tool finds leaks; governance decides what happens next.
Sources
Each field shows its status and source — expand to review.
10 · Expand
Sources
Each field shows its status and source — expand to review.
Latest release
Verifiedv2.11.1
Source: GitHub API · latest_release=v2.11.1 · 10/10/2026
License
VerifiedApache-2.0
Source: GitHub API · license.spdx_id=Apache-2.0 · 10/10/2026
logo url
VerifiedNone
Source: admin_cms · cms editor · 8/28/2026
needs api key
Inferred from materialsYes
Source: Project README · matched api key keywords · 8/24/2026
One-liner
Verified{"en":"Rust secret scanner from MongoDB with live validation, scope mapping, and optional revocation workflows.","zh":"Kingfisher 是 MongoDB 开源的高性能密钥扫描与验证工具。它通过 Rust 和 SIMD 加速实现了大规模代码库扫描,不仅能检测泄露,还支持实时验证、权限范围映射及自动撤销。"}
Source: heuristic_batch_publish · batch-publish-tools heuristic write · 8/24/2026
Platforms
Inferred from materialswindows, macos, linux, browser
Source: Project README · windows,macos,linux,browser · 8/24/2026
Category hint
Inferred from materialsai-apps
Source: Project README · hint=ai-apps · 8/24/2026
screenshot url
VerifiedNone
Source: admin_cms · cms editor · 8/28/2026
supports docker
VerifiedYes
Source: Repository file · dockerfile=true; compose=false · 10/10/2026
supports local
Inferred from materialsYes
Source: Project README · matched local keywords · 8/24/2026
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