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MCP server · Developer Tools

Lynxkite 2000

by · github.com/lynxkite/lynxkite-2000

GPU-accelerated graph analytics and data science with a friendly face

Unclaimed AGPL-3.0 last commit 6 months ago graphdevtoolsdata-science
InstallView source
62Good

Scored 8 hours ago · breakdown

About Lynxkite 2000

Lynxkite 2000 is an MCP server published by lynxkite in the Developer Tools category: gPU-accelerated graph analytics and data science with a friendly face. It has been installed 0 times through Conduid.

The repository has 3 stars and 1 forks, with the last commit 6 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx lynxkite-2000

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v0.3.0v0.3.0 · 25 Jan 2026This release focused on polishing the user interface. New Updated and added new boxes for using [PyKEEN](https://github.com/pykeen/pykeen) graph embeddings. [#62](https://github.com/lynxkite/lynxkite-2000/pull/62) A UI refresh. Boxes have…
v0.2.1v0.2.1 · 4 Nov 2025Fixes an issue with loading workspaces. #81
v0.2.0v0.2.0 · 4 Nov 2025A big release with a lot of new features: Comments in workspaces. #7 Grouped boxes in workspaces. #10 Tables in "View tables" can be sorted. #18 Neural ODE and LSTM boxes in PyTorch models. #25 Dropdowns for some more parameters. #38…
v0.1.0v0.1.0 · 26 May 2025The first open-source release.

README

LynxKite 2000:MM

LynxKite 2000:MM is a GPU-accelerated data science platform and a general tool for collaboratively edited workflows.

Features include:

  • A web UI for building and executing data science workflows.
  • An extensive toolbox of graph analytics operations powered by NVIDIA RAPIDS and CUDA.
  • Life sciences tools, such as 2D and 3D molecule visualizations.
  • An integrated collaborative code editor makes it easy to add new operations.
  • An agentic assistant makes it easy to get started and add new operations without coding.
  • An environment for visually designing neural network model architectures.
  • The infrastructure for easily creating other workflow design environments. See lynxkite-pillow-example for a simple example.

Installation

pip install lynxkite

Getting started

License

LynxKite 2000:MM is licensed under the GNU AGPLv3. See the LICENSE file for details.

LynxKite Technologies offers a commercial license of LynxKite 2000:MM that includes additional features and support. Get in touch at lynxkite@lynxkite.com if you are interested in life sciences tools and cluster deployment!

README mirrored from the source repository 8 hours ago. The original is authoritative.

Questions

About Lynxkite 2000

How do I install Lynxkite 2000?

Run npx lynxkite-2000, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Lynxkite 2000 safe to use with an AI agent?

Its trust score is 62 out of 100 (good). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Lynxkite 2000 still maintained?

The last commit was 6 months ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.