Инструменты разработчика

Circle Agent Stack for AI agents: create USDC wallets, set spend policies, send stablecoin, and pay x402-gated endpoints. Wraps the Circle CLI so auth stays out of the server. Six tools

Self-hosted AI teammate in Slack: @mention it and Claude Code or Codex investigates CloudWatch logs, runs tests, and opens pull requests. The bundled MCP server holds all credentials (GitHub, AWS, Slack) so the agent never sees keys. One-command deploy to your own AWS. MIT

MCP server for AI prompt optimization — transforms vague prompts into platform-optimized prompts for 58+ AI platforms across 7 categories (image, video, voice, music, code, chat, document)

Automatic enforcement of critical rules for Claude AI preventing 96 documented failure patterns. Provides compliance verification checklist and rules summary via MCP tools

An MCP Server and VS Code Extension which enables (language agnostic) automatic debugging via breakpoints and expression evaluation

Wraps Claude Code CLI as MCP tools (query, search, structured, sessions) with subscription-first auth, cost metadata, budget caps, and granular tool sandboxing

Intelligent search capabilities to let every model and client use Claude Agent Skills like native

Terminal, filesystem, and background-job tools for Claude Desktop on Linux/macOS. Zero npm deps, pure Node

Command line interface with secure execution and customizable security policies

One-stop backend services for WeChat Mini-Programs and full-stack apps. Provides specialized MCP tools for serverless cloud functions, databases, and one-click deployment to production with China market access through WeChat ecosystem

Coding agent with basic list, read, replace_in_file, write, execute_command and web search tools. Supports multiple projects concurrently

Local MCP server that shows AI agents which patterns your team actually uses, what files a change will affect, and when there is not enough context to trust an edit. 30+ languages, fully local

Codebeamer ALM integration for managing work items, trackers, and projects. Provides 17 tools for reading and writing items, associations, references, comments, and risk management data via Codebeamer REST API v3

Persistent codebase knowledge layer for AI coding agents. Pre-digests codebases into structured knowledge (symbols, dependency graphs, co-change patterns, architectural decisions) via tree-sitter native parsing (28 languages) and serves via MCP. 14 tools, ~85% token reduction. Works with Claude Code, Cursor, Codex…

Official MCP server for CodeLogic, providing access to code dependency analytics, architectural risk analysis, and impact assessment tools

Build, sign, and publish iOS and Android apps through AI agents. Integrates Codemagic CI/CD, App Store Connect, and Google Play in one server

Coding agent with basic read, write and command line tools

MCP server that connects your IDE or AI assistant to Codex CLI for code analysis and editing with support for multiple models (gpt-5-codex, o3, codex-1)

Local stdio MCP server for x402-powered paid crypto intelligence: preflight checks, trade decisions with decision_id , later audit against real prices, risk state, signal history, and agent automation search over USDC micropayments on Base

Control Google Colab notebooks and assign GPUs (T4/L4/A100) from any AI agent. Enhanced fork of Google's colab-mcp with all tools visible at startup, OAuth GPU control, and Windows support

Codebase memory for coding agents, with no embeddings and no API key. A deterministic AST index answers "which files are relevant to this task?" in milliseconds, and agents write durable notes about the repo that are content-hash checked — a note flags itself stale the moment the code it describes changes. Notes are…

MCP server for ComfyUI that lets AI agents view, edit, and run node-based image generation workflows with an embedded terminal

Containerized environments for coding agents. Multiple agents can work independently, isolated in fresh containers and git branches. No conflicts, many experiments. Full execution history, terminal access to agent environments, git workflow. Any agent/model/infra stack

Gives AI agents self-awareness about their cognitive state. Monitors token utilization, context quality degradation, and session fatigue. Returns health scores (0-100) and recovery recommendations based on model-specific degradation curves