Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
제작자가 쓴 설명(영어 원문)
161 AI agents for code gen, health, AI/ML, infra, India-stack. One command.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
GEMINI_API_KEY, ANTHROPIC_API_KEY, OPENAI_API_KEY, GROQ_API_KEY, OLLAMA_HOST, TIMPS_MODEL_PATH, TIMPS_MAX_AGENT_WORKERS, REDIS_URL, TIMPS_AUTH, LOG_LEVEL비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"timps-swarm": {
"command": "npx",
"args": [
"-y",
"timps-swarm"
],
"env": {
"GEMINI_API_KEY": "your-value",
"ANTHROPIC_API_KEY": "your-value",
"OPENAI_API_KEY": "your-value",
"GROQ_API_KEY": "your-value",
"OLLAMA_HOST": "your-value",
"TIMPS_MODEL_PATH": "your-value",
"TIMPS_MAX_AGENT_WORKERS": "your-value",
"REDIS_URL": "your-value",
"TIMPS_AUTH": "your-value",
"LOG_LEVEL": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add timps-swarm --env GEMINI_API_KEY=your-value --env ANTHROPIC_API_KEY=your-value --env OPENAI_API_KEY=your-value --env GROQ_API_KEY=your-value --env OLLAMA_HOST=your-value --env TIMPS_MODEL_PATH=your-value --env TIMPS_MAX_AGENT_WORKERS=your-value --env REDIS_URL=your-value --env TIMPS_AUTH=your-value --env LOG_LEVEL=your-value -- npx -y timps-swarm실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"timps-swarm": {
"command": "npx",
"args": [
"-y",
"timps-swarm"
],
"env": {
"GEMINI_API_KEY": "your-value",
"ANTHROPIC_API_KEY": "your-value",
"OPENAI_API_KEY": "your-value",
"GROQ_API_KEY": "your-value",
"OLLAMA_HOST": "your-value",
"TIMPS_MODEL_PATH": "your-value",
"TIMPS_MAX_AGENT_WORKERS": "your-value",
"REDIS_URL": "your-value",
"TIMPS_AUTH": "your-value",
"LOG_LEVEL": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"timps-swarm": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"timps-swarm"
],
"env": {
"GEMINI_API_KEY": "your-value",
"ANTHROPIC_API_KEY": "your-value",
"OPENAI_API_KEY": "your-value",
"GROQ_API_KEY": "your-value",
"OLLAMA_HOST": "your-value",
"TIMPS_MODEL_PATH": "your-value",
"TIMPS_MAX_AGENT_WORKERS": "your-value",
"REDIS_URL": "your-value",
"TIMPS_AUTH": "your-value",
"LOG_LEVEL": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
OLLAMA_HOST envTIMPS_MODEL_PATH envTIMPS_MAX_AGENT_WORKERS envREDIS_URL envTIMPS_AUTH envLOG_LEVEL env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리 이름이 GitHub 계정 Sandeeprdy1729 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: GEMINI_API_KEY, ANTHROPIC_API_KEY, OPENAI_API_KEY, GROQ_API_KEY
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(2.2.3)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Mirobody, FHIR MCP Server, Google Health MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications
Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
One `install-mcp` command puts 161 AI specialists into every coding tool you use — as parallel sub-agents, not just MCP tools.
Quick Start · Sub-agents · 161 Agents · MCP Setup · CLI · Architecture
*4 agents dispatched in parallel vs sequential — 3× speedup (64s vs 192s)*
npx timps-swarm audit ./ finds CVEs, hardcoded secrets, and OWASP issues. No backend, no config, no API key.install-mcp command writes the MCP config for 9 IDEs (Claude Code, Cursor, Windsurf, Continue, Aider, Cline, Zed, VS Code, Gemini, Codex, Amp, Warp) and registers every agent as a native sub-agent so Claude Code / Cursor / Codex can dispatch them in parallel via Task(subagent_type=...).npm install -g timps-swarm ships a Node.js MCP stdio proxy (cli/lib/mcp-proxy.js) that talks to any running FastAPI server (local or remote via TIMPS_API_URL). The Python repo is optional.npm i -g timps-swarm
Hand this repo to any coding agent and it will set itself up.
SETUP.mdis written as an instruction set (not just docs) — when a user
clones the repo and tells Claude Code, opencode, Codex, Cursor, Windsurf,
or any other agent to "read SETUP.md and set me up", the agent installs the
backend, registers the
timps-swarmMCP server for whatever tool it's
running in, and starts dispatching the 161 specialist agents in parallel.
Then wire it into your coding agents:
npx timps-swarm install-mcp
install-mcp auto-detects every AI tool on your machine and:
timps-swarm MCP server entry into every detected IDE config (with an explicit env: block forwarding ANTHROPIC_API_KEY, OPENAI_API_KEY, GEMINI_API_KEY, GROQ_API_KEY, TIMPS_API_URL, OLLAMA_HOST, REDIS_URL)..md file per TIMPS tool into ~/.claude/agents/, ./.claude/agents/, and ~/.codex/agents/.Restart your tool — 161 agents appear as MCP tools and as parallel sub-agents.
Run without installing (zero setup):
npx timps-swarm audit ./ # security scan any repo — works immediately
install-mcp is the only command you need:
npx timps-swarm install-mcp # default: configure all detected tools
npx timps-swarm install-mcp --no-sub-agents # MCP config only, skip the .md files npx timps-swarm install-mcp --tool cursor # configure one tool npx timps-swarm install-mcp --dry-run # preview without writing npx timps-swarm uninstall-mcp # remove all of the above
By default this writes:
npx timps-swarm mcp).~/.claude/agents/, ./.claude/agents/, ~/.codex/agents/ (one per MCP tool) so Claude Code's Task(subagent_type="timps_kubernetes_navigator"), Cursor Composer, and Codex can dispatch them in parallel.All writes are idempotent (re-running updates the existing file) and reversible via uninstall-mcp (which only removes the timps-swarm key and the timps-*.md files — your other config is untouched).
# Security audit — secrets + CVEs + SAST, no backend, no API key
npx timps-swarm audit ./
npx timps-swarm fix ./src --language python
npx timps-swarm api-design "billing API with metered usage and Stripe webhooks"
npx timps-swarm db-design "multi-tenant SaaS with usage-based billing"
npx timps-swarm health
npx timps-swarm install-mcp # auto-detect and configure all installed tools
npx timps-swarm install-mcp --tool cursor # single tool only npx timps-swarm install-mcp --dry-run # preview without writing files
| Tool | Config written |
|---|---|
| Claude Code | ~/.claude/mcp.json |
| Cursor | ~/.cursor/mcp.json |
| Windsurf | ~/.windsurf/mcp.json |
| Continue | ~/.continue/config.json |
| Zed | ~/.config/zed/settings.json |
| Aider | ~/.aider.conf.yml |
| Goose | ~/.config/goose/config.yaml |
| Gemini CLI | ~/.gemini/settings.json |
| Codex CLI | ~/.codex/config.json |
| Amp | ~/.amp/mcp.json |
| Warp | ~/.warp/mcp_servers.json |
| VS Code / Cline / Copilot | .vscode/mcp.json (workspace) |
Manual config snippets (all tools)
install-mcp writes the snippet below into each IDE config. The env: block forwards whichever API keys you have set in your shell; it's optional (the IDE usually inherits env, but explicit is safer for sandboxed hosts).
Claude Code — ~/.claude/mcp.json
{
"mcpServers": { "timps-swarm": { "command": "npx", "args": ["timps-swarm", "mcp"], "env": { "GEMINI_API_KEY": "...", "ANTHROPIC_API_KEY": "..." } } } }
Cursor / Windsurf / Gemini CLI / Codex CLI / Amp — same format as above, different path.
VS Code / Cline / Roo Code / GitHub Copilot — .vscode/mcp.json
{
"mcp": { "servers": { "timps-swarm": { "type": "stdio", "command": "npx", "args": ["timps-swarm", "mcp"] } } } }
Continue — ~/.continue/config.json
{ "mcpServers": [{ "name": "timps-swarm", "command": "npx", "args": ["timps-swarm", "mcp"] }] }
Aider — ~/.aider.conf.yml
mcp-servers:
timps-swarm: command: npx args: [timps-swarm, mcp] type: stdio
Zed — ~/.config/zed/settings.json
{
"assistant": { "mcp_servers": { "timps-swarm": { "command": "npx", "args": ["timps-swarm", "mcp"] } } } }
Goose — ~/.config/goose/config.yaml
extensions:
GitHub Actions — reusable workflow
jobs:
generate: uses: Sandeeprdy1729/timps-swarm/.github/workflows/timps-swarm.yml@main with: task: "Build a microservice for JWT authentication" language: python secrets: GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
Tries providers in priority order, uses the first available one.
| Priority | Provider | Env var | Notes |
|---|---|---|---|
| 1 | MCP Sampler | *(auto)* | Uses the host tool's model |
| 2 | Gemini 2.5 Flash | GEMINI_API_KEY | Recommended — fast + generous free tier |
| 3 | Anthropic Claude | ANTHROPIC_API_KEY | Best for complex reasoning |
| 4 | OpenAI GPT-4o | OPENAI_API_KEY | |
| 5 | Groq Llama 3.3 70B | GROQ_API_KEY | Fastest API inference |
| 6 | Ollama | *(auto-detected)* | Fully offline, no API key |
| 7 | TIMPS-Coder 0.5B | *(built-in)* | Always available |
export GEMINI_API_KEY=... # free tier, fastest start
export ANTHROPIC_API_KEY=... # optional
The 161 agents — full list
The MCP server exposes 161 specialist agents across 9 categories. Every one is also registered as a native Claude Code / Cursor / Codex sub-agent.
| Category | Count | Examples |
|---|---|---|
| Priority | 68 | research_agent, ab_testing_agent, abdm_agent, agent_composer, browser_automation, churn_predictor, demand_forecaster, dependency_agent, digilocker_agent, dpdp_act_auditor, federated_learning, finetuning_agent, fssai_compliance_agent, gst_compliance, indiehacker_agent, model_evaluator, model_perf_monitor, podcast_show_notes_writer, prompt_injection_scanner, quantum_ready, rag_designer, rag_evaluator, red_team_agent, release_manager, sbom_generator, security_remediation, service_mesh_configurator, sprint_planning_agent, storybook_story_generator, threat_intel_analyst, upi_agent, vector_db_agent, voice_agent_designer, wearable_health_coach, web3_agent, win_loss_analyst, … |
| Expert Diagnostics | 51 | dependency_rebel, kubernetes_navigator, docker_compose_architect, pipeline_healer, compliance_auditor, incident_response_coordinator, accessibility_tester, mcp_server_generator, observability_cost_optimizer, license_compliance_scanner, container_image_scanner, adr_writer, contract_reviewer, court_case_summarizer, data_pipeline, db_migration_pilot, disaster_recovery, game_day_facilitator, git_workflow_automator, graphql_agent, iac_drift_detector, load_testing, local_rag_builder, log_pattern_analyzer, phishing_simulator, postmortem_agent, test_intelligence, visual_regression_detective, web_scraping, web_search, … |
| Computer Health | 12 | system_optimizer, file_organizer, environment_doctor, security_guard, network_medic, battery_analyst, update_manager, log_interpreter, privacy_cleaner, media_librarian, backup_sentinel, context_switcher |
| Developer Workflow | 12 | issue_triager, boilerplate_architect, pr_reviewer, dependency_sentinel, unit_test_writer, docstring_generator, log_detective, sql_optimizer, sprint_reporter, flaky_test_hunter, api_contract_auditor, content_multiplier |
| Knowledge Worker | 7 | inbox_gatekeeper, meeting_condenser, research_scout, trend_monitor, data_wrangler, competitor_tracker, agri_commodity_forecaster |
| Meta | 6 | list_agents, dispatch, full_checkup, list_providers, connect_tools, tool_status |
| Context / Kernel | 3 | context_briefing, delegate, kernel_status |
| SDLC Pipeline | 1 | run_task (the 10-node LangGraph orchestrator: PM → Architect → Code → Review → QA → Security → Perf → Docs → DevOps) |
# Trigger the full SDLC pipeline
python3 give_work.py "Build a rate-limited REST API for user authentication"
npx timps-swarm health python3 give_work.py "My laptop fan is always running"
npx timps-swarm delegate "fix the auth bug and ensure 80% test coverage"
npx timps-swarm mcp # then use any MCP client
The Self-Critic Agent is the most valuable one — it scores any output 1–10 and re-runs the originating agent until the threshold is met, closing the quality loop across the entire swarm.
The 161 includes Phase 3 (12 priority), Phase 5 (7 more), Phase 6 nextgen (21 — security/DevOps/MLOps/emerging), Phase 7 (32 — India verticals, compliance, content, sales/voice, research), and
timps_batchfor parallel delegation. Thesrc/tool_connectorsmodule has a separateTOOLSdict (24 IDE config shortcuts —claude_code,cursor, etc.) used at runtime by `timps_
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요