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llm-context provides intelligent context management for LLMs, enabling focused, task-specific project context through composable rules and MCP integration.
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llm-context provides intelligent context management for LLMs, enabling focused, task-specific project context through composable rules and MCP integration.
llm-context offers a controlled way to provide context to LLMs, but the safety depends heavily on the rules defined. It is safe when used with carefully crafted rules that limit access to necessary files. It is risky if rules are overly broad or expose sensitive information.
Performance depends on the size of the project and the complexity of the rules. Large projects with complex rules may experience slower context generation times.
The tool itself is free, but using it with LLMs may incur costs associated with API calls and token usage.
{
"mcpServers": {
"CyberChitta": {
"command": "uvx",
"args": ["--from", "llm-context", "lc-mcp"]
}
}
}lc_outlinesGenerates code structure excerpts from the current rule's selection.
Read-only operation, only extracts code structure.
lc_previewValidates the rule effectiveness by showing file selection and size.
Read-only operation, only previews the rule's output.
lc_missingFetches specific files or implementations on demand.
Potentially exposes file contents, but requires explicit file paths.
None
cloud
llm-context offers a controlled way to provide context to LLMs, but the safety depends heavily on the rules defined. It is safe when used with carefully crafted rules that limit access to necessary files. It is risky if rules are overly broad or expose sensitive information.
Autonomy is limited by the rules defined. The tool itself does not have inherent autonomous capabilities beyond what the rules allow.
Production Tip
Carefully validate rules in a staging environment before deploying them to production to avoid unintended consequences.
Create a new YAML+Markdown file in the `.llm-context/rules/` directory. Define the rule's description, filters, and excerptors.
Use the `lc-set-rule <name>` command to switch the active rule.
Use the `lc-preview <rule>` command to validate the rule's selection and size.
MCP integration allows AI to access additional files during conversations without manual copying.
Add the llm-context server to your Claude Desktop config file.
Yes, you can use the Claude Skill or instruction rules to assist in rule creation.
The Claude Skill is interactive and uses MCP tools, while instruction rules load comprehensive documentation into context.
@restlessronin
Lead Maintainer & Curator