MCP Servers
cyberchitta/llm-context.py
Share code with LLMs via Model Context Protocol or clipboard. Rule-based customization enables easy switching between different tasks (like code review and documentation).
Our verdict
We have not reviewed cyberchitta/llm-context.py yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About cyberchitta/llm-context.py
Shares code with large language models via the Model Context Protocol or clipboard. Rule-based customization lets you switch between tasks like code review and documentation. Includes smart code outlining to improve context clarity.
Best for
Developers who regularly share code with LLMs for review, documentation, or refactoring tasks.
Use cases
- Send code snippets to an LLM for review without manual copy-paste
- Automatically tailor code context for different documentation requests
- Generate structured code outlines for LLM-based refactoring
Notes
301 stars on GitHub. Last updated 2026-05-27. Licensed Apache-2.0.
Pros
- Supports multiple sharing methods (MCP and clipboard)
- Rule system makes task switching easy and repeatable
- Smart outlining reduces noise in the context sent to the LLM
Cons
- Requires Python runtime to use
- Rule configuration has a learning curve for new users
- Limited to code context sharing, not general file or data sharing
Key facts
What we have checked
Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.
How to use
How to set it up
As the listing publishes it. We have not run this install.
Install
uvx --from llm-context lc-mcpTools exposed
lc_missinglc_changedlc_outlineslc_preview
Clients the listing names (not checked here)
Claude Code
Example client config
{
"mcpServers": {
"llm-context": {
"command": "uvx",
"args": [
"--from",
"llm-context",
"lc-mcp"
]
}
}
}Install
Add cyberchitta/llm-context.py to your client
No install recipe yet. We write one for Claude Code, Claude Desktop, Cursor, VS Code, Codex and ChatGPT when the server is in the official MCP registry with a package or remote address we can use.
Until then, follow the project's own README, or the setup the listing publishes under How to set it up.
Works with
What cyberchitta/llm-context.py connects to
No confirmed connections yet. A product appears here when the server's registry name, repo, homepage or name ties it to that product, and a client appears when we have an install recipe for it.
Alternatives
Alternatives to cyberchitta/llm-context.py
| Record | Type | How we know | Checked |
|---|---|---|---|
| oraios/serenaThis is an alternative to it | MCP server | Named in the listing | Not dated |
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Sources
Where this comes from
No sources recorded yet. Each source we check is listed here with the date we checked it.
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
Pairs with
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