Context Coder: MCP server providing secure file system operations with relative path handling for AI context management
Context Coder: MCP server providing secure file system operations with relative path handling for AI context management
Context Coder (aka. Coco) provides AI models with an MCP tools to load your entire codebase into the LLM context. This gives AI assistants everything they need to write code that fits your existing patterns and architecture.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| get_codebase_top_largest_files | Get top X largest files in codebase - helpful for identifying files to add to .cocoignore/.cocominify |
| read_file | Read file contents (only use when specifically asked to re-read or for debugging) |
| write_file | Create or overwrite files |
| edit_file | Make line-based partial edits to files (available when --edit-file-mode is enabled) |
| create_directory | Create directories |
| list_directory | List directory contents (only use when specifically asked or for debugging) |
| directory_tree | Get directory structure as JSON (only use when specifically asked or for debugging) |
| move_file | Move or rename files |
| search_files | Search by pattern |
| execute_command | Run shell commands |
{
"mcpServers": {
"context-coder": {
"command": "npx",
"args": [
"-y",
"supergateway",
"--streamableHttp",
"http://localhost:3001/mcp"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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