Exposes JSON-RPC 2.0 tools that let AI agents scan Base L2 lending positions approaching liquidation, simulate flash-loan-backed debt rescue plans, and generate the calldata needed to repay Morpho Blue and Aave v3 debt while avoiding the 5% penalty. Agents and builders can also attach a referral wallet to collect an instant 0.05% USDC revenue share paid atomically in the same block.

Enables AI clients to inspect installed software packages and saved browser traffic through read-only local parsers, producing structured evidence about application structure, dependencies, endpoints, and observed authentication schemes.

Exposes the battle.training agent tank arena API as MCP tools, letting clients read ladder standings, bot ratings, recent matches and replay URLs, and inspect cup info. With an API key it also enables registering bots, uploading smoke-tested controller versions, and enrolling in sponsored cups.

Lets Claude and other MCP clients hand coding tasks to the Codex CLI as a sub-agent, running under the user's own Codex configuration so any configured model provider (OpenAI, DeepSeek, local models) does the work. Provides tools to start, poll, cancel and inspect jobs with compact change summaries, long-task handling, token-saving lean mode and clean process teardown.

Enables coding agents to explore a database through the project's Drizzle schema, with tools for schema inspection, row browsing, counting, read-only SQL, query plans, drift and migration checks.

Enables phrase-aware wrapping of Korean headlines into up to three lines at a specified approximate display width, using punctuation and Korean connective endings to avoid awkward word splits. Runs locally as a deterministic, read-only tool that preserves the original wording and returns both line arrays and text.

Enables Claude Code to delegate tasks to persistent GitHub Copilot CLI sessions via MCP, inspect pending tool requests, and approve each operation once or deny it while continuing multi-turn context. It bridges ACP runtime sessions locally over stdio without a public service or background daemon.

Lets AI coding agents build, test, and lint Android projects with Gradle, control devices and emulators via adb, automate UI through screenshots and input injection, and use a live IDE bridge for refactoring, code inspection, and run configurations. Works with any MCP client over stdio or authenticated HTTP.

This MCP server lets an agent run local binary inspection on ELF, Mach-O, PE, APK, IPA, ASAR, WebAssembly, and firmware targets — pulling symbols, sections, classified strings, disassembly, and mitigation posture, and flagging dangerous imports and CWE patterns. It exposes eight stdio JSON-RPC tools (with no external API keys) that feed a multi-agent swarm for attack-surface mapping and exploit-chain synthesis.

Enables agents to discover, search, compare, and inspect tested MCP tools by problem or keyword, with certification verdicts, scorecard summaries, certified scope, and explicit not-tested details.

Enables AI agents to place and verify provably fair dice bets, manage shared bankroll vault liquidity positions, inspect incentives and positions, and read or send verified chat messages over HTTP or Stdio, including website-independent on-chain memo workflows.

Enables AI agents to debug Commodore software in a locally running VICE emulator through its text remote monitor, inspecting registers, memory and screens, disassembling code, setting breakpoints and watchpoints, controlling execution, and working with disk images, snapshots and exported graphics. Runs locally over stdio and includes safety guidance for state-changing operations.

Enables AI agents to discover and work with a user's permitted Excalidraw boards through a single MCP endpoint, reading and adding elements, images, and snapshots while respecting owner, view, edit, and guest-link access controls.

Enables control of an attached Android phone over ADB, including screenshots, taps, typing, key/chord input via a virtual HID keyboard, UI inspection, and device information without root.

Enables controlled, human-style mouse, keyboard, and clipboard interaction with Windows applications through MCP tools for window inspection, safe activation, cursor movement, clicks, dragging, typing, scrolling, copy/cut/paste, background reading, and pause/resume safeguards.

Embeds a runtime MCP inspector in a NestJS app so coding agents can inspect the module and provider graph, routes and their guards/interceptors/pipes/filters, logs, request traces, event listeners, and scheduled jobs through an HTTP endpoint.

Enables coding agents to navigate and verify a contract-backed semantic graph of TypeScript backends, inspect change impact, run checks, explain failures, and draft human-reviewable contracts through bounded MCP tools and matching JSON CLI output.

Turns any OpenAPI spec into a single-tool MCP server where the model writes JavaScript against a typed api object in a QuickJS sandbox, so multi-step tasks run in one round trip and only the final result reaches context. Credentials, rate limiting, retries, write gating and audit logging stay on the host, outside the sandbox.

Experimental Windows-first MCP server for Adobe Photoshop, with guarded brush-based painting and direct document and layer tools through a local UXP bridge. Requires local Photoshop on Windows for execution; Linux supports MCP catalog introspection only.

Turns any API with an OpenAPI 3.0/3.1/3.2 spec into callable MCP tools: it generates a tool per supported operation, validates arguments, and forwards authenticated requests, served over stdio or local HTTP or embedded as a library. No hand-written tool per endpoint is required.

Enables an AI assistant to inspect project dependency and runtime files, determine each component's support status and end dates, and rank upgrade urgency using bundled endoflife.date data.

Lets any MCP-capable AI agent call a hosted EdgePress site's REST API to browse and manage CMS content or store data, using a personal access token whose role and read-only flag decide what the agent can do. Supports Streamable HTTP at /api/mcp or local stdio via npx, with an OpenAPI spec lookup tool for discovering routes and request bodies.

Enables AI agents to inspect why React components re-rendered, replay recorded browser interactions as performance scenarios in headless Chrome, and verify fixes against performance budgets.

Enables AI clients to query and operate Git for a Cocos Creator 3.8 project and its submodules, drive editor asset/scene/prefab tools, and inspect the running preview's hierarchy, properties and page events through a scoped, token-gated bridge that previews every write as a one-time plan and never executes arbitrary code.