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* Add Claude DevFleet multi-agent orchestration skill Adds a skill for Claude DevFleet — a multi-agent coding platform that dispatches Claude Code agents to work on missions in parallel, each in an isolated git worktree. The skill teaches Claude Code how to use DevFleet's 11 MCP tools to plan projects, dispatch agents, monitor progress, and read structured reports. Setup: claude mcp add devfleet --transport sse http://localhost:18801/mcp/sse Repo: https://github.com/LEC-AI/claude-devfleet * Add DevFleet MCP config and /devfleet command - Add devfleet entry to mcp-configs/mcp-servers.json for discovery - Add /devfleet slash command for multi-agent orchestration workflow * Add orchestration flow diagrams to skill and command - Add visual flow to SKILL.md showing plan → dispatch → auto-chain → report - Add flow to /devfleet command showing the trigger sequence * Fix review feedback: frontmatter, workflow docs, HTTP transport - Add YAML description frontmatter to commands/devfleet.md - Fix manual workflow in SKILL.md to capture project_id from create_project - Change mcp-servers.json from deprecated SSE to Streamable HTTP transport * Address all review comments * Add monitoring/reporting steps to full auto pattern Addresses review feedback: the full auto example now includes polling for completion and retrieving reports, matching the other patterns. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * Update skills/claude-devfleet/SKILL.md Co-authored-by: cubic-dev-ai[bot] <191113872+cubic-dev-ai[bot]@users.noreply.github.com> * Update skills/claude-devfleet/SKILL.md Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * Update commands/devfleet.md Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * Fix review feedback Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Avdhesh Singh Chouhan <avdhesh.acro@gmail.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: cubic-dev-ai[bot] <191113872+cubic-dev-ai[bot]@users.noreply.github.com> Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
154 lines
5.4 KiB
JSON
154 lines
5.4 KiB
JSON
{
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"mcpServers": {
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"github": {
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"command": "npx",
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"args": ["-y", "@modelcontextprotocol/server-github"],
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"env": {
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"GITHUB_PERSONAL_ACCESS_TOKEN": "YOUR_GITHUB_PAT_HERE"
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},
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"description": "GitHub operations - PRs, issues, repos"
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},
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"firecrawl": {
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"command": "npx",
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"args": ["-y", "firecrawl-mcp"],
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"env": {
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"FIRECRAWL_API_KEY": "YOUR_FIRECRAWL_KEY_HERE"
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},
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"description": "Web scraping and crawling"
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},
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"supabase": {
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"command": "npx",
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"args": ["-y", "@supabase/mcp-server-supabase@latest", "--project-ref=YOUR_PROJECT_REF"],
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"description": "Supabase database operations"
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},
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"memory": {
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"command": "npx",
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"args": ["-y", "@modelcontextprotocol/server-memory"],
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"description": "Persistent memory across sessions"
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},
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"sequential-thinking": {
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"command": "npx",
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"args": ["-y", "@modelcontextprotocol/server-sequential-thinking"],
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"description": "Chain-of-thought reasoning"
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},
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"vercel": {
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"type": "http",
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"url": "https://mcp.vercel.com",
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"description": "Vercel deployments and projects"
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},
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"railway": {
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"command": "npx",
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"args": ["-y", "@railway/mcp-server"],
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"description": "Railway deployments"
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},
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"cloudflare-docs": {
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"type": "http",
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"url": "https://docs.mcp.cloudflare.com/mcp",
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"description": "Cloudflare documentation search"
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},
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"cloudflare-workers-builds": {
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"type": "http",
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"url": "https://builds.mcp.cloudflare.com/mcp",
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"description": "Cloudflare Workers builds"
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},
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"cloudflare-workers-bindings": {
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"type": "http",
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"url": "https://bindings.mcp.cloudflare.com/mcp",
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"description": "Cloudflare Workers bindings"
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},
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"cloudflare-observability": {
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"type": "http",
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"url": "https://observability.mcp.cloudflare.com/mcp",
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"description": "Cloudflare observability/logs"
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},
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"clickhouse": {
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"type": "http",
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"url": "https://mcp.clickhouse.cloud/mcp",
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"description": "ClickHouse analytics queries"
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},
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"exa-web-search": {
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"command": "npx",
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"args": ["-y", "exa-mcp-server"],
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"env": {
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"EXA_API_KEY": "YOUR_EXA_API_KEY_HERE"
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},
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"description": "Web search, research, and data ingestion via Exa API — prefer task-scoped use for broader research after GitHub search and primary docs"
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},
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"context7": {
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"command": "npx",
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"args": ["-y", "@upstash/context7-mcp@latest"],
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"description": "Live documentation lookup — use with /docs command and documentation-lookup skill (resolve-library-id, query-docs)."
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},
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"magic": {
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"command": "npx",
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"args": ["-y", "@magicuidesign/mcp@latest"],
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"description": "Magic UI components"
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},
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"filesystem": {
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"command": "npx",
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"args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/your/projects"],
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"description": "Filesystem operations (set your path)"
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},
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"insaits": {
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"command": "python3",
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"args": ["-m", "insa_its.mcp_server"],
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"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"
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},
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"playwright": {
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"command": "npx",
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"args": ["-y", "@playwright/mcp", "--browser", "chrome"],
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"description": "Browser automation and testing via Playwright"
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},
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"fal-ai": {
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"command": "npx",
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"args": ["-y", "fal-ai-mcp-server"],
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"env": {
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"FAL_KEY": "YOUR_FAL_KEY_HERE"
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},
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"description": "AI image/video/audio generation via fal.ai models"
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},
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"browserbase": {
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"command": "npx",
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"args": ["-y", "@browserbasehq/mcp-server-browserbase"],
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"env": {
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"BROWSERBASE_API_KEY": "YOUR_BROWSERBASE_KEY_HERE"
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},
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"description": "Cloud browser sessions via Browserbase"
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},
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"browser-use": {
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"type": "http",
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"url": "https://api.browser-use.com/mcp",
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"headers": {
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"x-browser-use-api-key": "YOUR_BROWSER_USE_KEY_HERE"
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},
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"description": "AI browser agent for web tasks"
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},
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"devfleet": {
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"type": "http",
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"url": "http://localhost:18801/mcp",
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"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"
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},
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"token-optimizer": {
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"command": "npx",
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"args": ["-y", "token-optimizer-mcp"],
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"description": "Token optimization for 95%+ context reduction via content deduplication and compression"
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},
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"confluence": {
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"command": "npx",
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"args": ["-y", "confluence-mcp-server"],
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"env": {
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"CONFLUENCE_BASE_URL": "YOUR_CONFLUENCE_URL_HERE",
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"CONFLUENCE_EMAIL": "YOUR_EMAIL_HERE",
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"CONFLUENCE_API_TOKEN": "YOUR_CONFLUENCE_TOKEN_HERE"
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},
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"description": "Confluence Cloud integration — search pages, retrieve content, explore spaces"
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}
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},
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"_comments": {
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"usage": "Copy the servers you need to your ~/.claude.json mcpServers section",
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"env_vars": "Replace YOUR_*_HERE placeholders with actual values",
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"disabling": "Use disabledMcpServers array in project config to disable per-project",
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"context_warning": "Keep under 10 MCPs enabled to preserve context window"
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}
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}
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