Enables autonomous agents to discover, quote, and purchase paid APIs on Base by describing capabilities in natural language, with automatic provider ranking, validation, and direct non-custodial x402 payments.

Enables AI agents to perform read-only static analysis of Node.js backend projects, detecting database query anti-patterns, async bottlenecks, connection pooling mistakes, and dependency hygiene issues while returning structured evidence-backed findings.

Enables safe coordination of Herdr coding agents with lease-scoped reviewer and writer lifecycles, semantic waits for agent states, and read-only topology inspection, while prohibiting arbitrary shell execution and unscoped lifecycle operations.

Enables U.S. exclusion, debarment, and license screening for agents, returning results with Ed25519-signed receipts of which list snapshots were checked.

Provides MCP tools for interacting with the Technocore agent protocol, including signed messaging, nonce management, DID verification, end-to-end encrypted communication, and untrusted data fencing.

Enables AI agents to explain regex patterns in plain English and statically assess ReDoS risk before shipping, without executing the pattern or requiring an API key.

Enables AI agents to manage task state through MCP, including creating, updating, and tracking tasks, with support for client-side encryption and secure local credential storage.

Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.

Self-hosted Jira/Trello alternative, featuring customizable project boards, cross-project workload and flow analytics, calendar-aware planning, a sticky-note wall, portable imports/backups, realtime email notifications, and a MCP/Agent automation layer.

Enables human-in-the-loop authorization for AI agent transactions, allowing real-time approval or denial of purchases based on configurable spending limits, vendor blocklists, daily caps, and category restrictions.

Run MATLAB® using AI applications with the official MATLAB MCP Server from MathWorks®. This MCP server for MATLAB supports a wide range of coding agents like Claude Code® and Visual Studio® Code.

MCP Toolkit for Flutter AI Agent Driven Development (MCP/CLI + custom client side tools) - via closed feedback loop (visual & semantic snapshot) and high client side customization adaptable for any Flutter app. Nowadays it is often called as agentic harness.

Enables scanning any website for AI agent compatibility and marketing health, returning interactive dashboard reports with scores and revenue impact estimates.

An instruction layer for AI coding agent

A self-hosted sandbox for red teams to test payloads against modern detection before deployment. MCP integration lets an LLM agent drive analysis end to end.

Enables agents to query and manage inventory data from Feishu source tables, providing tools for stock checks, distribution analysis, alternatives, and weekly ledger updates.

Enables AI agents to generate images on a local Stable Diffusion Forge Neo instance, automatically inferring prompt style and sampling parameters from the user's setup and past generations, and providing tools for LoRA search, model management, and module checks.

Unreal Engine plugin for LLM/GenAI models & MCP UE5 server. OpenAI GPT-5, Deepseek R1, Claude Opus/Sonnet, Gemini 3, Grok 4, Alibaba Qwen, Kimi, ElevenLabs TTS, Inworld, OpenRouter, Groq, GLM, Ollama, Local, Meshy, Tripo, Hunyuan3D, Rodin, fal, Dashscope, Seedream. NPC AI, agentic, chat, 3D gen, TTS, multimodal, image gen. UnrealMCP/UnrealClaude

Enables programming agents to capture errors and conversation signals, reflect on root causes, consolidate reusable skills, and retrieve relevant context for future tasks, providing a self-learning memory loop.

Enables AI agents to deploy and manage simulated AWS resources (like EC2, S3, DynamoDB) on a local Floci instance through natural language.

Enables agents to generate and edit images, sprites, icons, and animated sprite sheets via Gemini's Nano Banana model. It uses the existing Gemini plan's quota without per-image costs.

Enables AI agents to manage Splitwise expenses through natural language, including reading balances, splitting costs, and handling authentication and rate limits automatically.

Enables task state management for AI agents with secure credential handling and optional client-side encryption via a local stdio proxy.

Provides fail-closed, read-only PostgreSQL and MongoDB access for AI agents via MCP, enabling structured data inspection and bounded queries without mutation capabilities.