Skip to content
Back to the index

llm-context

PyPIInfrastructure

PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 28 Jul 2026. How this is checked

llm-context is a Python CLI tool that shares code with large language models through the Model Context Protocol or system clipboard. It supports rule-based customization to switch between tasks such as code review and documentation generation. The package includes built-in code outlining capabilities to provide structured context to LLMs.

Inferred · not functionally tested

Open SourceApache-2.0CLI
Visit PyPI
305stars
23forks
4features
2024since

Overview

4 features

Purpose: Efficiently sharing relevant code context with LLMs for different development tasks without manual copying and pasting.

Inferred · not functionally tested

Audience: developers

Inferred · not functionally tested

Functions: data_extraction

Inferred · not functionally tested

Interfaces: API: unknown · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: unknown

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: cli

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

llm-context sits in PulseGate's CLI tools & terminal category. Inferred · not functionally tested: Efficiently sharing relevant code context with LLMs for different development tasks without manual copying and pasting. Inferred · not functionally tested: It is built as an open-source project for developers. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: It ships for the command line.

It is developed by cyberchitta, and it first shipped in 2024. Development happens publicly on GitHub with 305 stars and 9 commits in the last 90 days. Inferred · not functionally tested: Among its 4 catalogued features are Model Context Protocol, Rule-based Customization, and Code Outlining. Basis unknown · not verified: Catalogued interfaces include an MCP server.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Model Context Protocol
  • Rule-based Customization
  • Code Outlining
  • Clipboard Integration

Topics: Inferred · not functionally tested

Tags
llm-contextmodel-context-protocolcode-sharingtask-switching
AI capabilities
Code

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
MCP
Runs on
CLI

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen SourceGitHub · ★ 305Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed28 Jul · 05:33 UTC
    llm-context seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open

Frequently asked questions about llm-context

What is llm-context?
Inferred · not functionally tested: Efficiently sharing relevant code context with LLMs for different development tasks without manual copying and pasting. It is catalogued under CLI tools & terminal on PulseGate.
Who should use llm-context?
Inferred · not functionally tested: llm-context is an open-source project built for developers.
Is llm-context free?
Basis unknown · not verified: Yes — llm-context is open source under the Apache-2.0 license and free to use.
What platforms does llm-context run on?
Basis unknown · not verified: llm-context runs on the command line.
Is llm-context still maintained?
PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 9 commits in the last 90 days.
What projects are similar to llm-context?
Similar projects tracked by PulseGate include contextly, llm-context-collector, and llmc-code.contextlyllm-context-collectorllmc-code
Who develops llm-context?
llm-context is developed by cyberchitta.
When did llm-context launch?
llm-context first shipped in 2024.

Similar projects

Closest matches by what these projects do