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awesome-agent-native-services

A curated list of agent-native services and infrastructure for AI agents: email, browsers, memory, sandboxes, payments, and MCP tools. Includes selection criteria and onboarding guides.

Install / Use

claude mcp add haoruilee -- npx -y github:haoruilee/awesome-agent-native-services

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

81/100

Supported Platforms

Claude Code
Claude Desktop

Tags

Our assessment of awesome-agent-native-services

awesome-agent-native-services scores 81/100 on our quality scale, 347th of 389 Communication skills we index.

Its MCP Server is 112 KB long, well organised into 29 sections with 3 code examples: long enough that it reads more like full documentation than a focused instruction file, which agents can find harder to follow.

It has 559 GitHub stars, a meaningful sign that others use it.

Substance
21/30
Structure
18/20
Description
15/15
Adoption
12/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated today, so awesome-agent-native-services is actively maintained.
  • Our last check on 2026-09-24 found the source still online.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the first 100 KB of the file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands (3 minor notes below). An AI review of the same text found nothing harmful.

  • noteInstalls by piping a downloaded script into a shellline 131
    …urces · Git-backed archive · TUI/robot CLI | ✅ | `curl -fsSL \"https://raw.githubusercontent.com/Dicklesworthstone/mcp_agent_mail_rust/main/…
  • noteInstalls by piping a downloaded script into a shellline 223
    …ls · model gateway budgets · session audit | ✅ | `curl -fsSL https://preloop.ai/install/cli \| sh` then `preloop signup` and `preloop agents…
  • noteInstalls by piping a downloaded script into a shellline 401
    …/stop/archive · HTTP RPC · E2B SDK compat | ⚠️ | `curl -fsSL https://raw.githubusercontent.com/BitMiracle-AI/Dormice/main/deploy/install.sh …

AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

awesome-agent-native-services compared with similar skills

All 4 of these similar skills score higher than awesome-agent-native-services; compare them before choosing.

SkillScoreStarsUpdatedFormat
awesome-agent-native-services (this skill)by haoruilee81559todayMCP Server
Agent-Reachby Panniantong100110.0k1d agoCLAUDE.md
headroomby headroomlabs-ai10079.1ktodayCLAUDE.md
CowAgentby zhayujie10047.8ktodayCLAUDE.md
Scraplingby D4Vinci10099.1k2d agoMCP Server

Frequently asked questions

How do I install awesome-agent-native-services?
Run claude mcp add haoruilee -- npx -y github:haoruilee/awesome-agent-native-services. The install tabs above show the steps for each supported agent.
Which AI agents does awesome-agent-native-services work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is awesome-agent-native-services safe to use?
Our scan of the first 100 KB of the file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands (3 minor notes below). An AI review of the same text found nothing harmful. It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is awesome-agent-native-services still maintained?
The repository was last updated today, so awesome-agent-native-services is actively maintained.

Awesome Agent-Native Services Awesome

A curated list of agent-native services and infrastructure for AI agents: email, browsers, memory, sandboxes, payments, MCP tools, and more.

Browse services by capability, compare their agent-native design against the selection criteria, and follow each service’s onboarding guide to connect your agent.

Each service is either infrastructure an AI agent consumes directly or a narrowly qualified, purpose-built surface for operating concrete agent sessions — not a generic platform for humans to build agents with.

Also on the web: Awesome Agent-Native Services — The Agent-Native Index — the same catalog with structured metadata and machine-readable discovery endpoints.



Table of contents


⭐ Agent onboarding

If you are an AI agent and want to discover services designed for you:

Read https://raw.githubusercontent.com/haoruilee/awesome-agent-native-services/main/skill.md then find services designed for you natively.

Besides, you can install these skills through Claude Code's plugin marketplace flow or load them directly from this repository:

Claude Code plugin marketplace (requires a Claude Code version with plugin support; see the official plugin marketplace docs):

/plugin marketplace add haoruilee/awesome-agent-native-services
/plugin install awesome-agent-native-services@awesome-agent-native-services
/reload-plugins

Direct SKILL.md install:

git clone --depth=1 https://github.com/haoruilee/awesome-agent-native-services.git
mkdir -p ~/.claude/skills
cp -R awesome-agent-native-services/.skills/find-agent-service ~/.claude/skills/

Source files are in .skills/ in this repo. See SKILLS_HUB.md for Claude Code and manual SKILL.md installation paths.

Install-entry workflow: install this repo once, then ask install-agent-service for a concrete entry point. It ranks URL onboarding first, then Agent Skills/plugins, MCP, CLI, and SDK setup so the catalog can act as an installer/router instead of only a directory.

Skills Hub usage

Use this repository's Skills Hub when you want an agent to operate the catalog directly rather than only read the Markdown index:

  1. Find a service for a concrete job — install or load find-agent-service, then ask: Use find-agent-service to find an agent-native service for <task>. The skill reads the catalog criteria and returns matching services with onboarding steps.
  2. Install or connect a service — install or load install-agent-service, then ask: Use install-agent-service to install/connect <service or task>. The skill returns URL onboarding, Agent Skill/plugin, MCP, CLI, or SDK commands.
  3. Vet a candidate service — install or load evaluate-agent-native, then provide the service URL, docs, and repo. The skill applies the standard or operator-surface admission track before you open an issue or PR.
  4. Prepare a contribution — install or load add-to-awesome-list when adding a new service. It walks through the issue-first workflow, required service-file sections, and README/category table updates.
  5. Use without a marketplace — any SKILL.md-compatible agent can copy a folder from .skills/ into its local skills directory, for example cp -R .skills/find-agent-service ~/.claude/skills/.

Recommended flow for agents: start with skill.md for quick discovery, switch to SKILLS_HUB.md or install-agent-service when you need installable workflows, and use the per-service Markdown files for source-backed details.


Categories

238 services across 16 categories.

| # | Category | Services | Description | |---|---|---|---| | 1 | Communication | 16 | Give agents a communication identity on the internet | | 2 | Browser & Web Execution | 25 | Remote browser and web data extraction for agents | | 3 | Tool Access & Integration | 22 | Runtime tool discovery, auth, and execution | | 4 | Oversight & Approval | 5 | Human-in-the-loop approval and escalation | | 5 | Commerce & Payments | 13 | Agent-native wallets, identity, and transactions | | 6 | Agent Runtime & Infrastructure | 31 | Execution, session isolation, secrets, and gateway | | 7 | Agent Harnesses & Operator Surfaces | 14 | Durable agent-loop control and live operator visibility | | 8 | Memory & State | 30 | Persistent agent memory across sessions | | 9 | Search & Web Intelligence | 9 | LLM-optimized web search and content retrieval | | 10 | Code Execution | 16 | Secure sandboxes for AI-generated code | | 11 | Observability & Tracing | 14 | Agent trajectory tracing and evaluation | | 12 | Durable Execution & Scheduling | 6 | Fault-tolerant long-running agent workflows | | 13 | Meeting & Conversation | 8 | Agent presence in voice and video meetings | | 14 | Voice & Phone | 7 | Agent-controlled voice calls and phone infrastructure | | 15 | LLM Gateway & Routing | 11 | Per-agent budget, routing, caching, and observability for LLM calls | | 16 | Agent Social & Community | 11 | Social networks where agents are first-class participants |


1. Communication Services

MCP-native and API-first email, inboxes, and messaging — services built so autonomous agents send, receive, and search mail with their own identity.

Give AI agents a first-class communication identity on the internet — not a proxy to a human's mailbox, but an identity the agent owns and operates autonomously.

→ Full category overview and criteria

| Service | Tagline | Primitives | MCP | How to Use | |---|---|---|---|---| | ATXP Email ⭐ | Email for AI agents | Per-agent inbox · CLI/API provisioning · Verification-code workflow | ⚠️ | Read https://atxp.email/ and follow the docs to create an agent inbox via CLI/API | | AgentMail | Email for AI agents | Agent inbox · Threaded conversation · Webhook on inbound mail · Semantic search | ✅ | pip install agentmail then POST /inboxes | | Novu ⭐ | Notification infrastructure with Agent Toolkit | Workflow-as-tool · Cross-channel delivery · HITL notification flow | ✅ | npx skills add novuhq/skills | | Chimely ⭐ | Self-hostable in-app notification inbox | HTTP notification API · SSE hint plane · <Inbox /> React component | ⚠️ | Use the HTTP API from https://chimely.dev docs to deliver in-app notifications | | mails.dev | Email for AI Agents | @mails.dev mailbox · Send/inbox · wait-for-code · Full-text search | ⚠️ | Read https://mails.dev/skill.md and follow the instructions | | OpenMail | Email API for AI agents | One inbox per agent · Webhook/WebSocket inbound · RAG-ready attachment parsing | ⚠️ | npm install -g @openmail/cli → openmail setup — docs.openmail.sh | | OutreachAgent | The Cold Outbound Engine for AI Agents | Agent inboxes · Reply-aware workflows · Send limits/approvals · Signed webhooks | ⚠️ | npm install @outreachagent/sdk-ts or use REST API at https://api.outreachagent.dev/v1 | | MailboxKit | Email infrastructure for AI agents | Per-agent address · REST v1 · Inbound webhooks · URL Onboarding | ⚠️ | Read https://mailboxkit.com/skill.md and follow the instructions | | Agents Mail | Email for AI Agents | Agent registration · Inbox lifecycle · Send/reply API · URL Onboarding | ⚠️ | Read https://agentsmail.org/skill.md and follow the instructions | | MCP Agent Mail ⭐ | Async coordination layer for AI coding agents | Agent identity · Inbox/outbox · Thread search · Advisory file reservations | ✅ | uvx mcp_agent_mail then connect MCP client and call register_agent/send_message | | MCP Agent Mail (Rust) ⭐ | It's like Gmail for your coding agents | 30+ MCP tools · 20+ resources · Git-backed archive · TUI/robot CLI | ✅ | curl -fsSL \"https://raw.githubusercontent.com/Dicklesworthstone/mcp_agent_mail_rust/main/install.sh?$(date +%s)\" \| bash then am | | AgenticMail ⭐ | Email & SMS infrastructure for AI agents | Agent inbox + phone bundle · Stalwart self-host · Google Voice bridge · 75+ REST endpoints | ⚠️ | git clone https://github.com/agenticmail/agenticmail && docker compose up -d | | Caspian [![⭐](https://img.shields.io/github/stars/TryCaspian/caspian

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars559
CategoryCommunication
Updated3h ago
Forks73

Languages

Python

Trust signals

88/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 medium