Schema | llm-context

llm-context

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Server capabilities have not been inspected yet.

Functions exposed to the LLM to take actions

Name	Description
lc_changedB	Returns list of files modified since given timestamp. Args: root_path: Root directory path (e.g. '/home/user/projects/myproject') timestamp: Unix timestamp to check modifications since
lc_outlinesC	Returns excerpted content highlighting important sections in all supported files. Args: root_path: Root directory path rule_name: Rule to use for file selection rules timestamp: Context generation timestamp to check against existing selections
lc_rule_instructionsC	Provides step-by-step instructions for creating custom rules. Args: root_path: Root directory path
lc_missingC	Unified tool for retrieving missing context (files, implementations, or excluded sections). Args: root_path: Root directory path (e.g. '/home/user/projects/myproject') param_type: Type of data - 'f' for files, 'i' for implementations, 'e' for excluded sections data: JSON string containing the data (file paths in /{project-name}/ format or implementation queries) timestamp: Context generation timestamp

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/cyberchitta/llm-context.py'

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