An MCP server that indexes reference repositories and provides tools for AI coding agents to retrieve lossless code context, enabling reasoning over codebases larger than the agent's context window.
Local MCP server that indexes documentation from URLs/files into a vector database, enabling coding agents to search and use up-to-date library and API documentation.
An MCP server that indexes a repository locally and provides keyword, semantic, hybrid, and SQL search tools, enabling coding agents to answer questions about the codebase efficiently without reading files one by one.
MCP server that provides coding agents with structured repository context, including graph-based navigation, dependency analysis, runtime flow tracing, and configuration surface across supported stacks.
MCP server that provides a shared semantic memory layer for AI coding agents, enabling teams to store, search, and sync context, decisions, and knowledge across projects with project-based isolation and multi-backend support.