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Aeolun

Repomix MCP Server

by Aeolun

repomix

Pack repository files into a single AI-friendly file to load context efficiently at session start. Use include parameter to filter relevant files and repomix-estimate first to check size.

Instructions

Pack repository files into a single AI-friendly file. Use at session start to load context efficiently. IMPORTANT: Always use the "include" parameter to filter only relevant files (e.g., ".md,.ts,.js" for a TypeScript project, or ".md,*.py" for Python). Start with root-level *.md files and source files in the language being worked on. Always use repomix-estimate first to check size.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathNoPath to the directory to pack
styleNoOutput format style
compressNoCompress output to reduce token count
includeNoFiles to include (glob pattern). Examples: "*.md,*.ts,*.js" for TypeScript projects, "*.md,*.py" for Python, "*.md,*.go" for Go. Always specify to avoid large outputs!
ignoreNoFiles to exclude (glob pattern). Use to filter out test files, build outputs, etc. Example: "*test*,*spec*,dist/**,build/**"
remoteNoRemote repository URL to process
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively communicates that this tool can process both local directories and remote repositories, emphasizes the importance of filtering to avoid large outputs, and provides practical guidance on file selection patterns. However, it doesn't mention potential rate limits, authentication requirements, or error handling scenarios.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is efficiently structured with purpose first, then usage context, then critical parameter guidance. Each sentence serves a distinct purpose, though the final sentence about repomix-estimate could be integrated more smoothly. Overall, it's appropriately sized and front-loaded with essential information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (6 parameters, no output schema, no annotations), the description does a good job covering usage context, sibling relationships, and critical parameter guidance. It explains the tool's role in a workflow and provides practical filtering advice. The main gap is lack of output format explanation, which would be helpful since there's no output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 100% schema description coverage, the schema already documents all 6 parameters thoroughly. The description adds some value by providing concrete examples for the 'include' parameter and emphasizing its importance, but doesn't significantly enhance understanding beyond what's already in the schema. This meets the baseline expectation when schema coverage is complete.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('Pack repository files into a single AI-friendly file') and resource ('repository files'), distinguishing it from its sibling repomix-estimate by emphasizing this is the actual packing tool rather than a size estimation tool. The purpose is unambiguous and actionable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit guidance on when to use this tool ('Use at session start to load context efficiently') and when to use an alternative ('Always use repomix-estimate first to check size'). It also specifies important prerequisites and sequencing, making it clear how to integrate this tool into a workflow.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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