AI tool

Mercemur is a store automation platform with three interfaces: a REST API, an MCP server for AI agents, and a CLI for editing storefronts as files. The docs show authentication, scopes, rate limits, error handling, pagination, idempotency, and a large API surface for catalogue, orders, customers, pricing, and money.

Anthropic’s Claude API platform for building AI products, apps, and agent workflows with Claude models, built-in tools, pricing tiers, and developer docs.

A zero-dependency C++23 CLI and MCP server that gives coding agents a ranked map of a repository, including call context, blast radius, and tests to run.

A Rust Blu-ray disc analyzer that reimplements BDInfo for BDMV folders and ISO images, with CLI, desktop, and browser/WASM front ends.

A lightweight React Markdown renderer with built-in LaTeX, syntax highlighting, streaming-safe rendering, and security-focused defaults.

WebLLM is a high-performance in-browser LLM inference engine that runs locally in the browser with WebGPU acceleration. It exposes an OpenAI-compatible API, supports streaming and JSON mode, and includes examples for building chat apps and browser extensions.

Open-source security scanner for AI agents, MCP servers, and agent skills. It auto-discovers installed agent components and checks them for prompt injection, tool poisoning, secrets, malware payloads, and related risks.

An open-source SAS 9.4-compatible interpreter written by agents, with a browser playground, tests, and real clinical-programming pipeline support.

Google’s Gemini 3.8 Flash model page for developers, describing a high-speed multimodal model with support for agents, function calling, structured outputs, code execution, file search, computer use, and long context.

A pure C runtime for Gemma 4 E2B CPU inference, with export, benchmarking, and numerical validation tools included.

Open protocol for agent-consumable job feeds with MCP-native tools, discovery manifests, schemas, and a live API playground for job search and application flows.

SigMap is a deterministic grounding layer for AI code work. It generates a signature-and-evidence map, helps pick relevant files, validates coverage, and judges whether an AI answer is grounded in the repo.

An OWASP incubator project that protects AI agent memory from prompt injection, secret leakage, and tampering. It includes a Python library, policy-based controls, benchmarks, and integrations for agent frameworks like LangChain and AutoGen.

CLI for catching AI-generated code smells and regressions in code. It scans changes with 40+ rules across 7 languages, offers fixes, CI gating, hooks, and MCP tools.

A code editor for the agents era that orchestrates multiple CLI coding agents in parallel across isolated git worktrees, with terminal, review, and editor handoff workflows.

Native desktop automation CLI for AI agents. It controls apps through OS accessibility trees and returns structured JSON with deterministic element references, with extra FFI bindings for embedding in other languages.

A general-purpose MCP bridge for Ableton Live that lets AI agents inspect and control Live sets, create and edit clips, add tracks and devices, analyze audio and harmony, and work with Max for Live audio taps.

A public scoreboard that tracks whether apps use your data to train AI models, whether you can opt out, and what it costs to refuse. It also shows policy changes over time and lets users build a personal exposure report in the browser.

Managed desktop environments for computer-use agents, with application monitoring, artifact checkpoints, and recovery controls. The page shows KiCad and FreeCAD support, an API/SDK, usage flow, pricing, and a quickstart example.

GasPeek compares real-time USDT transfer fees across blockchains like Tron, Ethereum, Polygon, Solana, BNB Chain, TON, Aptos, Avalanche, and Polkadot, helping users choose the cheapest network before sending.

A PostgreSQL helper that previews INSERT, UPDATE, and DELETE effects as row-level proposals before applying them, aimed at AI agents and other write workflows.

Knowl is a persistent memory server for AI coding agents. It stores facts with provenance, supports supersession when information changes, and integrates with clients like Claude Code, Cursor, and Codex through MCP.

Tako VM is a secure file system and Python execution layer for AI agents, with gVisor-isolated containers, queued jobs, retries, replay, and a Python SDK/REST API.

Epho is an API for running coding agents like Claude Code, Codex, or OpenCode in the cloud. It takes a prompt and repo context, then streams back the agent’s work over SSE.