A sub-harness (both an MCP server and an MCP client). Delegates documentation and source code analysis, as well as interactions with related context-providing MCP servers, to a local or inexpensive OpenAI-compatible LLM. Drastically reduces token usage and context size for coding agents on the top-tier LLM.
Agent Claude Code
Start codebase analysis. Analyze single entity/action only. Return detailed analysis, recommendations, implementation guidance, usage examples. Prefer dependencylibraries-related-files-search first. Provide all relevant context (files, paths, symbols, imports, etc.). One topic or one context per request → wait for the…
Agent Claude Code
Return the public names of local libraries/codebases available for analysis. Provide dependencylibraries-related-files-search and/or dependencylibraries-analysis with an approptiate name from this list.
Agent Claude Code
Start related-file discovery. Find files relevant to single entity/action before dependencylibraries-analysis. Provide all relevant context (files, paths, symbols, imports, etc.). One topic or one context per request → wait for the result → send the next request! Instead "Find X, Y, Z, etc." you MUST "Find X.", wait…