"DataNexus MCP Inspector - Resources Tab" matching MCP servers:

Exposes MCP tools that let an agent search a catalog, inspect a paid service's pricing, fetch it with payment handled automatically, and check its remaining budget and active spending limits. Payments are authorized against a signed mandate from the owner, so agents can buy API access over HTTP 402 without ever holding the owner's private key.

MCP server that adds billing and settlement to any MCP server, enabling paid tool calls with configurable pricing, spending limits, and automatic invoicing through the AllScale CLI.

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

MCP server that gives AI agents secure, consent-based access to a single browser tab, supporting read-only snapshots, element interaction with per-action approval, and frozen multi-step plans, all audited.

Enables local AI agents to control Chrome in parallel with isolated tab groups, supporting operations like navigation, clicks, and form filling without interference.

A Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.

Turns Chrome into a local MCP server, giving AI agents 51 browser tools to inspect DOM, automate clicks, run JavaScript, audit security and accessibility, mock APIs, extract data, record demos, and more from any MCP client.

HTTP Inspector MCP Server enables sending arbitrary HTTP requests, viewing history via a web panel, and taking screenshots of the panel for AI penetration testing workflows.

Enables MCP-compatible AI agents to inspect, read, close, deduplicate, group, and consolidate live Chromium browser tabs through a secure local bridge, with safety checks and no need for its own AI model or API key.

A Node.js debugger for AI agents that enables setting breakpoints, stepping through code, and inspecting variables via the Chrome DevTools Protocol.

An AI-powered MCP server that converts guitar audio recordings into high-quality fingerstyle tablature.

An MCP server that records agent execution metrics and exposes a Context Window Explorer to visualize exactly what entered the model's context window across sessions, tokens, and tool calls.

MCP server for the Ghost Inspector API that lets agents inspect and manage end-to-end browser tests, offering read-only tools for inventory, module usage, and stale test analysis, plus opt-in guarded write operations.

An MCP server that enables AI assistants to visually inspect and interact with rendered web pages via a persistent headless Chromium browser, supporting navigation, screenshots, clicks, viewport resizing, and console log retrieval.

MCP server that allows reading inside Java archives (classes, APIs, sources, resources, bytecode) without extraction, with focused tools to minimize context window noise.

Gives AI coding tools access to the CSS cascade the way DevTools does — which rules matched, which won, where each came from.

An MCP server that lets an agent inspect and operate Redis-backed job queues, supporting Asynq and BullMQ backends with per-state counts, job details, and state transitions.

Enables inspection of any website's AI-search readiness, checking AI crawler blocks, llms.txt, schema markup, and indexing directives from MCP clients like Claude.