Alternatives
Products that do what Remote MCP Server Tester does
Inspect any remote MCP server — quality, cost, and security
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Jan 2026 · mcp-workbench.ai
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2025 · api200.co
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MCP (Model Context Protocol) server that lets AI assistants check domain availability in real-time. Features: - Multi-source: Porkbun, Namecheap, RDAP, WHOIS - Price comparison across registrars - Social handle checking (GitHub, Twitter, npm, etc.) - Premium domain detection with pricing insights Works with any MCP-compatible client. Install: npx -y domain-search-mcp
Dec 2025 · github.com
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I’ve been building and using agents heavily lately. The Model Context Protocol ecosystem is growing insanely fast, but discovering and configuring new tools is still highly manual. Every time I needed to connect an agent to a new service, I had to browse registries, figure out the transport type, identify required env vars, and manually update "mcp.json" files. So I built MCPfinder. It aggregates servers from the official MCP registry, Glama, and Smithery (around 25,000 combined entries) into a deduplicated, ranked catalog. But the real twist is the DX: MCPfinder is itself an MCP server :D…
Apr 2026 · mcpfinder.dev
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Hi HN, I've been building MCPSpec, an open-source CLI for MCP server reliability. Record sessions, generate mock servers, catch Tool Poisoning, and fail your CI build when something's wrong — without writing test code. There are ways to validate MCP servers today — the MCP Inspector, ad-hoc SDK scripts, unit tests for server internals — but nothing that handles regression detection, security auditing, mock generation, and CI pass/fail checks in one tool. MCPSpec does that: 1. Record a session against your real server, replay it after changes to catch regressions 2. Generate a standalone…
Feb 2026 · light-handle.github.io
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2016 · servsup.co
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Hey HN! I’m Gui from deco (decocms.com). We’ve been using this tool internally as the foundation for a few customer AI platforms, and today we’re open-sourcing it as MCP Mesh. MCP is quickly becoming the standard for agentic systems, but… once you go past a couple servers it turns into the same problems for every team: - M×N config sprawl (every client wired to every server, each with its own JSON + ports + retries) - Token + tool bloat (dumping tool definitions into every prompt doesn’t scale) - Credentials + blast radius (tokens scattered across clients, hard to audit, hard to revoke) - No…
Dec 2025 · github.com
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We've been building with AI tools and noticed there wasn't a good way to manage MCP servers across a team or see what's actually flowing to LLM providers. Who's running what? Which tools are approved? What data is going where or whats shared on AI websites? So we built CyberCage (). What it does: MCP Management — Auto or manual discovery of MCP servers, with approval workflows. Manage allowed MCP servers org-wide (down to individual tools). Secure MCP catalog (integrates with GitHub's MCP Catalog). Operations — Manage allowed AI applications org-wide. Full audit logs (Splunk integration…
Dec 2025 · cybercage.io
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Hi HN, I'm Vlad. I've been building MCP servers and related tooling for a while now, and I kept hitting a class of bug that no unit test caught: someone on the team renames a tool parameter or tweaks a tool description, all the tests pass, but the AI agent that was calling that tool silently breaks. This happens because the model reads tool descriptions and parameter schemas to decide which tool to call and how, so a renamed parameter or a reworded description isn't just a cosmetic change — it directly affects the model's behavior. The MCP spec doesn't have tool versioning available yet, and…
Mar 2026 · github.com
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Over the past couple weeks, l've been really immersed in learning about MCP, a new protocol for equipping any LLM with a set of tools that can run on your own machine or a remote server you control and give all kinds of superpowers to Al agents to do things like search, etc. As part of that research, l've already built one very fleshed-out and useful MCP server that l've shared here (I've added much more to it recently though!), the LLM Gateway MCP Server, which lets you use a big model to delegate to a cheaper model (and many more things in addition to that, like running automated…
2025 · github.com
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I built this because I got tired of watching Claude Code read through massive files just to find a few functions. Sourcerer lets AI agents search code semantically and grab exactly the code chunks they need instead of burning tokens on whole files. It uses tree-sitter to parse your codebase and creates a searchable index. So instead of "read auth.py (538 lines)", an agent can search for "user authentication logic" and get back just the relevant functions. Demo: https://asciinema.org/a/736638 GitHub: https://github.com/st3v3nmw/sourcerer-mcp
2025 · github.com
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Anthropic's Model Context Protocol (MCP) has made it easy to spin up servers that expose tools and data to LLMs. A lot of these MCP servers run locally because they need access to your files, shell, browser, etc. The problem: they typically run with the same privileges as your user. If a server is buggy, misconfigured, or prompt-injected, it can do anything you can do: read SSH keys, exfiltrate dotfiles, poke around in private repos, etc. Our research group is working on this by adding a security manifest (inspired by the Android app manifest) plus a local policy enforcement engine that…
Nov 2025 · guardiagent.com
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Hi HN, I'm Matt, founder of MCPJam. We're building open source dev tools for MCP server builders. There’s been a lot of debate around skills vs MCP. From what I see, there’s a growing trend of people using skills paired with MCP servers. Skills teach the agent how to use the MCP server tools and guide the agent to completing complex workflows. We’re also seeing Anthropic encourage the use of Skills + MCP in their products. Anthropic recently launched the connectors marketplace. A good example of this is the Figma connector + skills. The Figma skill teaches the agent how to use the Figma MCP…
Jan 2026 · mcpjam.com
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Code Index MCP is an MCP server that indexes codebases and provides search capabilities to LLMs. Supports 50+ file types with automatic indexing, regex/fuzzy search, code analysis, and real-time file monitoring. LLMs can search your entire project, find files with glob patterns, analyze code structure (functions, classes, imports), and get automatic updates when files change. Eliminates the need to manually copy files or explain project structure to overcome context limits. Built with Python using the Model Context Protocol. Uses pluggable search backends…
2025 · github.com
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2025 · github.com
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An open framework for scoring how well an MCP tool definition communicates to an AI agent. Specification, reference implementation, CLI and hosted API.
3d ago · tdqs.dev
Ranked by how close each launch is in meaning, then by votes. Refine with a description →