Browse 79 tools for your AI coding workflow.
An MCP server that turns natural language into structured development tasks with persistent memory and chain-of-thought workflows for AI agents.
A platform to chat, inspect, debug, and evaluate MCP servers, MCP apps, and ChatGPT apps.
Enterprise-grade platform for running and managing MCP servers securely in isolated containers.
An MCP server that lets AI agents connect to and manage Jupyter notebooks in real-time.
Local code intelligence MCP server and CLI for AI coding agents, providing semantic search and call graph analysis.
MCP server that gives AI coding assistants persistent memory, semantic code search, and live telemetry.
Codebase intelligence layer for AI coding agents: code health, git analytics, dead code detection, and architectural decisions via MCP.
An MCP server that provides intelligent semantic code search for AI assistants using local AI models.
MCP server for semantic code search and navigation that reduces token waste for AI agents.
A fast Rust CLI for codebase metrics, AST-compressed LLM context bundles, and a built-in MCP server.
CLI-first semantic code search with MCP integration, powered by LanceDB and AST parsing.
MCP server for semantic code search: index your codebase once, then search using natural language.
Security scanner for AI agents, MCP servers, and agent skills to detect prompt injections and vulnerabilities.
Multi-repo semantic code search MCP server with hybrid vector+BM25 retrieval, fully offline.
AI-first security scanner with 9,600+ detection rules for AI/ML, LLM agents, and MCP servers.
A fast, lightweight security scanner for MCP servers and AI agent skills with built-in vulnerability detection.
A bridge between Streamable HTTP and stdio MCP transports, enabling flexible MCP server connectivity.
Local-first security scanner for AI agents and software supply chains, detecting prompt injection, MCP risks, tool poisoning, and compromised packages.
High-performance code graph engine that indexes repos and exposes them via CLI, MCP, and API, cutting token usage up to 50x.
MCP server for browser automation using Playwright, enabling LLMs to interact with web pages.
