agent-11
Opensource AI development agent suite for solo founders. Deploy 11 specialized agents in Claude Code with one command. https://buymeacoffee.com/jamiewatters
Install / Use
claude mcp add TheWayWithin -- npx -y github:TheWayWithin/agent-11If the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
OperationsSupported Platforms
Tags
Skill content
View source on GitHub{ "mcpServers": { "playwright": { "type": "stdio", "command": "npx", "args": ["@playwright/mcp"] }, "supabase": { "type": "stdio", "command": "npx", "args": [ "-y", "@supabase/mcp-server-supabase@latest", "--project-ref=${SUPABASE_PROJECT_REF}" ], "env": { "SUPABASE_ACCESS_TOKEN": "${SUPABASE_ACCESS_TOKEN}" } }, "github": { "type": "stdio", "command": "npx", "args": ["@edjl/github-mcp"], "env": { "GITHUB_TOKEN": "${GITHUB_PERSONAL_ACCESS_TOKEN}" } }, "context7": { "type": "stdio", "command": "npx", "args": ["@upstash/context7-mcp"], "env": { "CONTEXT7_API_KEY": "${CONTEXT7_API_KEY}" } }, "firecrawl": { "type": "stdio", "command": "npx", "args": ["firecrawl-mcp"], "env": { "FIRECRAWL_API_KEY": "${FIRECRAWL_API_KEY}" } }, "filesystem": { "type": "stdio", "command": "npx", "args": [ "@modelcontextprotocol/server-filesystem", "${HOME}/DevProjects" ] }, "railway": { "type": "stdio", "command": "npx", "args": ["-y", "@railway/mcp-server"] }, "stripe": { "command": "npx", "args": ["stripe-mcp"], "env": { "STRIPE_API_KEY": "${STRIPE_API_KEY}" } }, "netlify": { "command": "npx", "args": ["netlify-mcp"], "env": { "NETLIFY_ACCESS_TOKEN": "${NETLIFY_ACCESS_TOKEN}" } }, "figma": { "command": "npx", "args": ["figma-developer-mcp"], "env": { "FIGMA_ACCESS_TOKEN": "${FIGMA_ACCESS_TOKEN}" } } } }
Related Skills
Agent-Reach
84.2kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
headroom
73.4kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
ruflo
73.0k🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
CowAgent
47.1kOpen-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install.
Security Score
Audited on Invalid Date