Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
作者提供的说明(英文原文)
161 AI agents for code gen, health, AI/ML, infra, India-stack. One command.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
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_LEVEL标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"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"
}
}
}
}在终端中运行这条命令
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-swarm运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"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"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"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"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
OLLAMA_HOST envTIMPS_MODEL_PATH envTIMPS_MAX_AGENT_WORKERS envREDIS_URL envTIMPS_AUTH envLOG_LEVEL env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日
注册名称已通过 GitHub 账户 Sandeeprdy1729 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:GEMINI_API_KEY, ANTHROPIC_API_KEY, OPENAI_API_KEY, GROQ_API_KEY
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(2.2.3)于3个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Mirobody, FHIR MCP Server, Google Health MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
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
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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_
只显示了开头部分;其余内容请在仓库中阅读