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Zero-configuration MCP server that unifies multiple AI coding assistants (Codex, Claude Code, Cursor, Gemini) through intelligent auto-discovery and standardized interface
VSCode Extension with an MCP server that exposes semantic tools like Find Usages and Rename to LLMs
Analyzes your codebase identifying important files based on dependency relationships. Generates diagrams and importance scores per file, helping AI assistants understand the codebase. Automatically parses popular programming languages such as Python, C, C++, Rust, Zig, Lua.
Give AI agents X-ray vision into compiled Java code. Decompiles any class from Maven/Gradle dependencies via MCP.
The main features of terseprompts/jarp-mcp are: Development & Execution, Development Tools.
Projects with overlapping indexed features include: biegehydra/bifrostmcp — VSCode Extension with an MCP server that exposes semantic tools like Find Usages and Rename to LLMs. yvgude/lean-ctx — Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust… admica/filescopemcp — Analyzes your codebase identifying important files based on dependency relationships. Generates diagrams and… askbudi/roundtable — Zero-configuration MCP server that unifies multiple AI coding assistants (Codex, Claude Code, Cursor, Gemini) through… muvon/octocode — Semantic code searcher and codebase utility. abrambailey/player — Try the demo. Export your work before you leave the demo: saving between sessions is not supported there.