Agent♥︎Age
Catalog

io.github.Digital-Threads/token-pilot

Official

by Digital-Threads · TypeScript

Save up to 80% tokens when AI reads code via AST-aware structural reading

Model Context Protocol (MCP) Server: io.github.Digital-Threads/token-pilot

The MCP server at io.github.Digital-Threads/token-pilot provides token-optimized, AST-aware code reading to reduce context consumption for AI coding workflows. It is positioned to “save up to 80% tokens” (with claims up to 90%) by reading code structures more efficiently, including through MCP tools like smart_read.

🛠️ Key Features

  • Token savings for AI reads of code via AST-aware structural reading
  • MCP tools for structural reads (example referenced: smart_read, read_symb)

🚀 Use Cases

  • AI coding assistants that need code context but must minimize token usage
  • Developer workflows using the Model Context Protocol (mcp)

⚡ Developer Benefits

  • Reduced context consumption when AI reads code
  • Better allocation of model budget toward reasoning rather than re-reading files

⚠️ Limitations

  • Source material does not specify supported tool set beyond referenced smart_read and partial read_symb mention
  • No details provided on configuration, compatibility, or performance beyond token-savings claims

Topics

ai-codingastclaude-codecode-navigationcontext-windowcursormcpmcp-serverclaudedeveloper-toolsllmmodel-context-protocoltoken-optimizationtree-sitter