everything-claude-code/mcp-configs/mcp-servers.json

{
  "mcpServers": {
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "YOUR_GITHUB_PAT_HERE"
      },
      "description": "GitHub operations - PRs, issues, repos"
    },
    "firecrawl": {
      "command": "npx",
      "args": ["-y", "firecrawl-mcp"],
      "env": {
        "FIRECRAWL_API_KEY": "YOUR_FIRECRAWL_KEY_HERE"
      },
      "description": "Web scraping and crawling"
    },
    "supabase": {
      "command": "npx",
      "args": ["-y", "@supabase/mcp-server-supabase@latest", "--project-ref=YOUR_PROJECT_REF"],
      "description": "Supabase database operations"
    },
    "memory": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-memory"],
      "description": "Persistent memory across sessions"
    },
    "omega-memory": {
      "command": "uvx",
      "args": ["omega-memory", "serve"],
      "description": "Persistent agent memory with semantic search, multi-agent coordination, and knowledge graphs — run via uvx (richer than the basic memory store)"
    },
    "sequential-thinking": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-sequential-thinking"],
      "description": "Chain-of-thought reasoning"
    },
    "vercel": {
      "type": "http",
      "url": "https://mcp.vercel.com",
      "description": "Vercel deployments and projects"
    },
    "railway": {
      "command": "npx",
      "args": ["-y", "@railway/mcp-server"],
      "description": "Railway deployments"
    },
    "cloudflare-docs": {
      "type": "http",
      "url": "https://docs.mcp.cloudflare.com/mcp",
      "description": "Cloudflare documentation search"
    },
    "cloudflare-workers-builds": {
      "type": "http",
      "url": "https://builds.mcp.cloudflare.com/mcp",
      "description": "Cloudflare Workers builds"
    },
    "cloudflare-workers-bindings": {
      "type": "http",
      "url": "https://bindings.mcp.cloudflare.com/mcp",
      "description": "Cloudflare Workers bindings"
    },
    "cloudflare-observability": {
      "type": "http",
      "url": "https://observability.mcp.cloudflare.com/mcp",
      "description": "Cloudflare observability/logs"
    },
    "clickhouse": {
      "type": "http",
      "url": "https://mcp.clickhouse.cloud/mcp",
      "description": "ClickHouse analytics queries"
    },
    "exa-web-search": {
      "command": "npx",
      "args": ["-y", "exa-mcp-server"],
      "env": {
        "EXA_API_KEY": "YOUR_EXA_API_KEY_HERE"
      },
      "description": "Web search, research, and data ingestion via Exa API — prefer task-scoped use for broader research after GitHub search and primary docs"
    },
    "context7": {
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp@latest"],
      "description": "Live documentation lookup — use with /docs command and documentation-lookup skill (resolve-library-id, query-docs)."
    },
    "magic": {
      "command": "npx",
      "args": ["-y", "@magicuidesign/mcp@latest"],
      "description": "Magic UI components"
    },
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/your/projects"],
      "description": "Filesystem operations (set your path)"
    },
    "insaits": {
      "command": "python3",
      "args": ["-m", "insa_its.mcp_server"],
      "description": "AI-to-AI security monitoring — anomaly detection, credential exposure, hallucination checks, forensic tracing. 23 anomaly types, OWASP MCP Top 10 coverage. 100% local. Install: pip install insa-its"
    },
    "playwright": {
      "command": "npx",
      "args": ["-y", "@playwright/mcp", "--browser", "chrome"],
      "description": "Browser automation and testing via Playwright"
    },
    "fal-ai": {
      "command": "npx",
      "args": ["-y", "fal-ai-mcp-server"],
      "env": {
        "FAL_KEY": "YOUR_FAL_KEY_HERE"
      },
      "description": "AI image/video/audio generation via fal.ai models"
    },
    "browserbase": {
      "command": "npx",
      "args": ["-y", "@browserbasehq/mcp-server-browserbase"],
      "env": {
        "BROWSERBASE_API_KEY": "YOUR_BROWSERBASE_KEY_HERE"
      },
      "description": "Cloud browser sessions via Browserbase"
    },
    "browser-use": {
      "type": "http",
      "url": "https://api.browser-use.com/mcp",
      "headers": {
        "x-browser-use-api-key": "YOUR_BROWSER_USE_KEY_HERE"
      },
      "description": "AI browser agent for web tasks"
    },
    "devfleet": {
      "type": "http",
      "url": "http://localhost:18801/mcp",
      "description": "Multi-agent orchestration — dispatch parallel Claude Code agents in isolated worktrees. Plan projects, auto-chain missions, read structured reports. Repo: https://github.com/LEC-AI/claude-devfleet"
    },
    "token-optimizer": {
      "command": "npx",
      "args": ["-y", "token-optimizer-mcp"],
      "description": "Token optimization for 95%+ context reduction via content deduplication and compression"
    },
    "laraplugins": {
      "type": "http",
      "url": "https://laraplugins.io/mcp/plugins",
      "description": "Laravel plugin discovery — search packages by keyword, health score, Laravel/PHP version compatibility. Use with laravel-plugin-discovery skill."
    },
    "confluence": {
      "command": "npx",
      "args": ["-y", "confluence-mcp-server"],
      "env": {
        "CONFLUENCE_BASE_URL": "YOUR_CONFLUENCE_URL_HERE",
        "CONFLUENCE_EMAIL": "YOUR_EMAIL_HERE",
        "CONFLUENCE_API_TOKEN": "YOUR_CONFLUENCE_TOKEN_HERE"
      },
      "description": "Confluence Cloud integration — search pages, retrieve content, explore spaces"
    },
    "evalview": {
      "command": "python3",
      "args": ["-m", "evalview", "mcp", "serve"],
      "env": {
        "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE"
      },
      "description": "AI agent regression testing — snapshot behavior, detect regressions in tool calls and output quality. 8 tools: create_test, run_snapshot, run_check, list_tests, validate_skill, generate_skill_tests, run_skill_test, generate_visual_report. API key optional — deterministic checks (tool diff, output hash) work without it. Install: pip install \"evalview>=0.5,<1\""
    }
  },
  "_comments": {
    "usage": "Copy the servers you need to your ~/.claude.json mcpServers section",
    "env_vars": "Replace YOUR_*_HERE placeholders with actual values",
    "disabling": "Use disabledMcpServers array in project config to disable per-project",
    "context_warning": "Keep under 10 MCPs enabled to preserve context window"
  }
}