wasmcp

mcpc is Apify's open-source universal command-line client for the Model Context Protocol (MCP). It maps MCP operations for tools, prompts, resources, asynchronous tasks, skills, notifications, and logging to shell commands, communicating with local stdio servers and remote Streamable HTTP servers. Persistent named sessions keep connections, caches, notifications, and authentication state available across commands. The CLI supports progressive tool discovery through grep and compact tool listings, interactive shells, JSON output for jq, xargs, and shell pipelines, schema validation for scripts and CI, OAuth 2.1 with PKCE and bearer authentication, and a local proxy mode that keeps upstream credentials and OAuth tokens outside AI sandboxes. Its single configuration and credential store can be reused by shell-based AI coding agents, with credentials stored in the operating system keychain. It is distributed as the `@apify/mcpc` npm package.

Awesome MCP Servers is a curated collection of Model Context Protocol (MCP) server implementations, maintained as a GitHub repository with a synchronized web directory. It catalogs production-ready and experimental servers that let AI models interact with local and remote resources through standardized interfaces, including file access, databases, API integrations, browser automation, cloud platforms, research services, and other contextual tools. The repository organizes entries by capability, programming language, deployment scope, operating system, and whether an implementation is official.

Wasp (Web Application Specification) is an open-source, Rails-like full-stack framework for React, Node.js, and Prisma. Developers describe an application's high-level structure in a declarative `main.wasp.ts` specification and implement custom logic in React, Node.js, and Prisma files; the Wasp compiler then generates the frontend, backend, and deployment source. Built-in features include authentication, client-server RPC, background jobs, email sending, end-to-end type safety, and single-command deployment. Its high-level specification is designed to give AI coding agents clear application structure and guardrails, while generated applications can be deployed without provider lock-in.

FastMCP is a package for building custom Model Context Protocol (MCP) servers with defined tools.

mcptoon is a cross-agent Model Context Protocol (MCP) management CLI that gives agents access to configured MCP servers through ordinary command-line calls, rather than loading large tool catalogs into their context. It discovers existing server configurations, maintains ~/.mcptoon/config.json as a single source of truth, synchronizes that configuration across agents, serves a tool-name manifest on demand, and composes a single-entry proxy for MCP access. Tools are launched when invoked, and the project supports native MCP JSON, structured output, optional TOON compression, and envelope passthrough; the videos also describe output checks for prompt injection and credential leaks. The project is distributed as a Python package for Python 3.10+ and is described as using only the standard library, with no third-party dependencies. Its repository documents compatibility with agents including Claude Code, Cursor, and Codex, and provides commands such as `quickstart`, `demo`, and `call`. It is free and open source under the Apache-2.0 license.