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by ReyNeill • NLP & LLM
A Model Context Protocol (MCP) server that provides on-demand codebase indexing and context generation for AI agents using Google Gemini Flash.
Access and search a local codebase and return focused contextual snippets to answer developer queries.
Generate large-window analysis using Google Gemini Flash while minimizing unnecessary file reads and token usage.
Attach user files or reference specific repository files in queries and have the server selectively read and include only relevant contents.
Kontxt MCP Server connects to a local code repository and exposes a get_codebase_context tool for AI clients, letting models selectively read and analyze files as needed. It leverages Gemini 2.0 Flash's large input window and internal tools (list_repository_structure, read_files, grep_codebase) to build focused context while avoiding bloated payloads. The server supports SSE and stdio transports, allows user-attached files in queries, tracks token usage, and provides configurable token limits and tokenizer auto-recovery for robust operation.
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