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MCP server · AI

Awesome MCP Tools

· github.com/godberrystudios/awesome-mcp-tools

A curated list of Model Context Protocol (MCP) servers, clients, and resources.

Unclaimed ai-agentsanthropicawesomeawesome-listclaudellm-toolsmcpmodel-context-protocol
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34Low

Scored 4 months ago · breakdown

About Awesome MCP Tools

Awesome MCP Tools is an MCP server in the AI category: a curated list of Model Context Protocol (MCP) servers, clients, and resources. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/godberrystudios/awesome-mcp-tools

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

Awesome MCP Tools

A curated list of Model Context Protocol (MCP) servers, clients, SDKs, and resources for building with AI agents.

Maintained by Godberry Studios. Contributions welcome — see the end of this file.

The Model Context Protocol is an open standard, introduced by Anthropic in late 2024, for connecting AI models to tools, data, and actions in a uniform, agent-callable way. This list catalogs the pieces of that ecosystem that are worth knowing.

Contents

The Spec

Official SDKs

  • TypeScript SDK — most mature, production-used.
  • Python SDK — reference implementation, good for prototyping.
  • Kotlin SDK — maintained by Anthropic + JetBrains.
  • C# SDK — maintained by Microsoft.
  • Java SDK — maintained by Spring AI team.
  • Swift SDK — newer, useful for on-device agents.

Clients (run MCP servers)

Apps and runtimes that can load MCP servers and expose them to an LLM:

  • Claude Desktop — the original reference client.
  • Claude Code — Anthropic's terminal CLI, loads MCP servers via config.
  • Cursor — the editor; MCP server support in settings.
  • VS Code (Copilot Chat) — first-party MCP support added in 2025.
  • Zed — MCP-first editor integration.
  • Continue.dev — open-source IDE agent with MCP support.
  • mcp-cli — command-line tester for any MCP server.

Servers — Pay-per-use & hosted

Production servers you can call today without self-hosting. Priced per call, no seats.

Godberry Studios

  • Content-to-Social MCP Server — turn any URL, article, or text into ready-to-post social content (X, LinkedIn, Facebook). Callable from Claude, ChatGPT, any MCP client. $0.07 / transformation.
  • Google Reviews Scraper — Google Maps reviews for any business, under 60s, validated across 9 countries. From $0.10 / place.

Others

(Add well-known commercial MCP servers here. Suggested entries to verify and include: Apify MCP, Zapier MCP, Composio MCP, Pipedream MCP, Brave Search MCP.)

Servers — Self-hosted & open-source

  • MCP reference servers — official collection (filesystem, git, github, postgres, slack, memory, fetch, and more). Start here.
  • Awesome MCP Servers — community list, larger and broader than this file; cross-referenced where useful.

(Pick out the highest-quality self-hosted servers and list them with one-line descriptions. Keep signal-to-noise high.)

Dev tools & boilerplates

  • MCP Inspector — the debugger / test harness. Essential.
  • create-mcp-server — scaffold a new TypeScript MCP server.
  • mcp-server-apify-starter — production-ready starter for a pay-per-use MCP server on Apify. Streamable HTTP + pay-per-event billing wired up.
  • MCP-Vercel templates — search the Vercel templates for "MCP" to deploy in one click.

Related protocols

The MCP era is being built on a small stack of complementary protocols. Know these:

  • WebMCP — exposing MCP tools through browser/web-standard APIs so agents can discover them like they discover APIs.
  • x402 — the HTTP 402 "Payment Required" revival for agent-native, per-call billing. Pay AI agents inline with calls.
  • A2A (Agent-to-Agent) — Google's proposed protocol for agents discovering and calling each other. Often paired with MCP.

Articles & learning

  • Godberry Studios Blog — deep-dives on MCP security, x402, WebMCP, and shipping MCP servers for pay.
  • Anthropic's MCP launch post — the original announcement and rationale.
  • (Add high-quality third-party posts as the ecosystem publishes them.)

How to contribute

This list is curated, not exhaustive. Contributions welcome:

  1. Open a PR adding your tool / server / article under the right section.
  2. One line per entry: Name — what it does + why it matters (no marketing fluff).
  3. Open-source repos, paid services, and hosted endpoints are all eligible, as long as they are production-quality and actively maintained.

Issues and discussions also open at github.com/godberrystudios/awesome-mcp-tools.

License

CC0-1.0 — public domain. Copy freely.

README mirrored from the source repository 4 months ago. The original is authoritative.

Questions

About Awesome MCP Tools

How do I install Awesome MCP Tools?

Run git clone https://github.com/godberrystudios/awesome-mcp-tools, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Awesome MCP Tools safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Awesome MCP Tools still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.