Domscribe is a pixel-to-code development tool that bridges the gap between running web applications and their source code.
Persistent Intelligence Infrastructure for AI Agents
A structural code search engine for Al agents.
An MCP Server to utilize Lineai's rich software dependency data in your AI programming assistant.

VSCode Extension with an MCP server that exposes semantic tools like Find Usages and Rename to LLMs
The graph based agentic IDE
Semantic code intelligence MCP server for Claude Code - project maps, symbol search, impact analysis, and more
MCP server for Git with local Ollama — zero tokens for git operations
MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.
Define task-specific AI sub-agents in Markdown for any MCP-compatible tool.
A local bridge for bidirectional collaboration between Claude Code and Codex. 连接 Claude Code 与 Codex 的本地实时协作桥接工具。
LeanCTX — Context Intelligence for AI systems.
MCP server providing semantic Java code analysis for AI agents. Built on Eclipse JDT with tools for navigation, refactoring, search, and metrics.
Every file not opened. Every folder not explored. Tokens saved. ProjectAtlas guides coding agents with purpose metadata and an intelligent code graph, reducing token costs by over 90%.
Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase.
Standalone MCP server for cross-pane AI agent communication via tmux. Lets Claude Code, Gemini CLI, Codex, and Kimi CLI talk to each other through tmux panes.
MCP-native code retrieval for AI agents — 84-88% fewer read tokens, BM25F + semantic search, AST chunks, session dedup
MCP server that orchestrates language servers into agent-native workflows. 65 tools, 30 CI-verified languages.
Turn your team's AI coding sessions, GitHub code, and docs into one shared, searchable memory — a self-hosted git truth store you query right from your editor over MCP.
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
Multi-repo semantic code search MCP server in Rust — hybrid vector + BM25 retrieval, tree-sitter AST chunking, fully offline. For OpenCode, Claude Code, Cursor, and any MCP client.
Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.
Ask Codex, Gemini, Grok, and 400+ OpenRouter models (Qwen, Kimi, DeepSeek) for second opinions or arbiter-mediated consensus. One MCP server for Claude Code, Codex, Cursor, Kiro, OpenCode. Measures which models earn their seat.
Full AI context and content layer for coding agents over one MCP server — tree-sitter code-map, document RAG, shared memory, multi-agent comms, web crawl, git history + blame. 300+ languages, 10+ agent harnesses, pure Rust.