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PopNx MCPMCP servers for people who use AI · explained in plain words

AgentLair

by piiiicoversion 1.3.1i★ –iComputer or cloud
Registry nameio.github.piiiico/agentlair

Install

Overview

Description from the maker (original English)

Give AI agents a real email address, vault, calendar, and task delegation via MCP.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Computer or cloud
  • Transport: stdio, Streamable HTTP
  • Category: Docs, sheets & office work
  • You need to fill in: AGENTLAIR_API_KEY, Authorization

Install

Pick the AI app you use, then copy the settings.

Before you install

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • Runs in the cloudNothing to install; it connects over the internet
  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "agentlair": {
      "command": "npx",
      "args": [
        "-y",
        "@agentlair/mcp"
      ],
      "env": {
        "AGENTLAIR_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http agentlair https://agentlair-mcp-server.amdal-dev.workers.dev/mcp --header 'Authorization: your-value'

Or run it on your computer

claude mcp add agentlair --env AGENTLAIR_API_KEY=your-value -- npx -y @agentlair/mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agentlair": {
      "url": "https://agentlair-mcp-server.amdal-dev.workers.dev/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agentlair": {
      "command": "npx",
      "args": [
        "-y",
        "@agentlair/mcp"
      ],
      "env": {
        "AGENTLAIR_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agentlair": {
      "type": "http",
      "url": "https://agentlair-mcp-server.amdal-dev.workers.dev/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agentlair": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@agentlair/mcp"
      ],
      "env": {
        "AGENTLAIR_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • AGENTLAIR_API_KEY secret required env
    AgentLair API key. Get one free at https://agentlair.dev
  • Authorization secret required HTTP header
    Bearer . Get a free key: POST https://agentlair.dev/v1/auth/keys

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 6, 2026. The maker wrote them, not us; we show them as plain text.

  • send_email

    Send an email from your AgentLair address (@agentlair.dev) to any recipient. No SMTP or DNS setup needed.

  • check_inbox

    Check the inbox for an @agentlair.dev email address. Returns recent messages with sender, subject, and received time.

  • read_message

    Read the full content of a specific email message, including the body text.

  • list_addresses

    List all @agentlair.dev email addresses associated with your API key.

  • claim_address

    Claim a new @agentlair.dev email address for your agent. Free tier supports multiple addresses.

  • preflight_trust_check

    Check trust readiness before engaging with an agent. Returns a ReadinessCard: trust score, behavioral maturity level, whether it's safe to engage, and any caveats. Call this before delegating tasks, accepting agent output, or authorizing payments involving an unknown agent. Free

  • vault_put

    Store a value in the AgentLair Vault. Use this to persist API keys, secrets, or any data your agent needs across sessions. Best practice: encrypt sensitive data client-side before storing (the server stores whatever you send).

  • vault_get

    Retrieve a stored value from the AgentLair Vault by key name.

  • vault_list

    List all keys stored in your AgentLair Vault (metadata only, values not returned).

  • vault_delete

    Delete a key and all its versions from the AgentLair Vault.

  • calendar_create_event

    Create a calendar event on your AgentLair calendar. Events are published via iCal feed for human subscription (Google Calendar, Apple Calendar, Outlook).

  • calendar_list_events

    List events on your AgentLair calendar. Optionally filter by date range.

  • calendar_delete_event

    Delete an event from your AgentLair calendar by event ID. Use calendar_list_events to find event IDs.

  • calendar_get_feed

    Get the public iCal subscription URL for your AgentLair calendar. Share this URL with calendar apps (Google Calendar, Apple Calendar, Outlook) so humans can subscribe and see agent-created events.

  • delegate_task

    Delegate a task to another AgentLair agent. The task is delivered to the agent's inbox and picked up asynchronously. Use this when you need another agent to do something — send an email, run a deployment, do research, etc.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account piiiico, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✓ Pass

    Endpoint responds

    Responded in 69 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 15 tool descriptions and found no hidden instructions to the AI

Compared with others in Docs, sheets & office worki

  • More stars than 0% of the other 3529 servers in this category
  • Published to the registry more recently than 91% of the other 3529 servers in this category
  • Basic checks equal to or better than 100% of the other 3529 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is AgentLair safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: AGENTLAIR_API_KEY, Authorization

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.3.1) reached the registry 3 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Agent-Native Google Calendar - manage events, sync, and public booking

Runs in the cloud★ 7,620MITUpdated 2 months ago
Install

Excel MCP Server

by haris-musa

Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.

Runs on your computer★ 4,276MITUpdated 7 days ago
Install

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

Runs on your computer★ 847MITUpdated 4 days ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

AgentLair

Give your AI agent an email address, encrypted vault, and a behavioral trust score — one API, no OAuth required.

CapabilityDescription
EmailSend and receive at @agentlair.dev. No OAuth, no human approval required.
VaultEncrypted credential storage. Client-side AES-GCM — the server stores ciphertext only.
Audit TrailEvery action logged with Ed25519 signatures. Tamper-evident, independently verifiable. Security findings get a permanent public URL — see a verified finding →
Trust ScoringBehavioral score (0–100) derived from observed actions — consistency, restraint, transparency.
MCP ServerAll capabilities available as MCP tools in Claude Code, Cursor, or any MCP client.
PodsNamespace isolation for multi-agent or multi-tenant deployments.

Try it in 30 seconds

No signup. See what a live trust score response looks like:

# Healthy agent — high trust (score 84, principal level)

curl https://agentlair.dev/v1/demo

{

"agentId": "acc_demo_healthy_XXXXXXXXXX", "score": 84, "confidence": 0.91, "atfLevel": "principal", "trend": "stable", "dimensions": { "consistency": { "score": 0.82 }, "restraint": { "score": 0.87 }, "transparency": { "score": 0.80 } }, "observationCount": 1847 }

# Suspicious agent — score 31, declining trend

curl 'https://agentlair.dev/v1/demo?scenario=suspicious'

New agent — only 11 observations, wide confidence interval

curl 'https://agentlair.dev/v1/demo?scenario=new'

Rate limited to 10 requests/minute per IP. Response shape matches the live /v1/trust/:agentId endpoint.

Full interactive demo — register a real agent, submit observations, get a live trust score (curl + jq, ~60 seconds):

curl -sL https://raw.githubusercontent.com/piiiico/agentlair/main/examples/quickstart.sh | bash

Register an agent

curl -X POST https://agentlair.dev/v1/auth/agent-register \

-H "Content-Type: application/json" \ -d '{"name": "my-research-agent"}'

{

"api_key": "al_live_...", "account_id": "acc_...", "email_address": "my-research-agent@agentlair.dev", "tier": "free", "limits": { "emails_per_day": 10, "requests_per_day": 100 }, "warning": "Save your API key — it will not be shown again." }

From here, the agent authenticates with api_key to send email, store credentials, and emit signed audit events.

Quickstart: Add AgentLair to your agent

1. Install

pip install agentlair            # Python

npm install @agentlair/sdk # TypeScript / Node

2. Set env vars

export AGENTLAIR_API_KEY=al_live_...

export AGENTLAIR_EMAIL=my-agent@agentlair.dev

3. Wire lifecycle hooks

# Python — three integration points

import os, agentlair lair = agentlair.AgentLair(os.environ["AGENTLAIR_API_KEY"]) addr = os.environ["AGENTLAIR_EMAIL"]

async def on_session_start(ctx): result = await lair.email.inbox(addr) if result["messages"]: ctx.prepend(f"Inbox: {len(result['messages'])} unread")

async def send_message(to, subject, text): # expose as LLM tool await lair.email.send(from_address=addr, to=to, subject=subject, text=text)

async def on_session_end(ctx): # advance cursor so messages aren't re-delivered if ctx.last_message_id: await lair.vault.store("inbox_cursor", ctx.last_message_id)

// TypeScript

import { AgentLair } from '@agentlair/sdk'; const lair = new AgentLair(process.env.AGENTLAIR_API_KEY!); const addr = process.env.AGENTLAIR_EMAIL!;

// Session start — drain inbox before planning const { messages } = await lair.email.inbox(addr); if (messages.length) context.prepend(Inbox: ${messages.length} pending);

// Expose as tool — let the LLM send replies const sendMessage = (to: string, subject: string, text: string) => lair.email.send({ from: addr, to, subject, text });

Messages accumulate while offline and drain at next session start. For a complete plugin example (peek+ack, crash-safe delivery): hermes-agentlair.

MCP server

npx @agentlair/mcp@latest

Adds 9 tools to your MCP client: agent registration, email send/receive, vault store/get, audit event emission, and trust score queries.

Agent memory needs a trust layer

Agent memory is real infrastructure. 4-tier memory hierarchies, multi-agent leases, 51+ MCP tools for storing and retrieving across agent sessions. When multiple agents share a memory pool, the category works.

The gap: any agent can write anything to shared memory. No verification of who wrote what, no way to audit contested state, no trust gating on destructive writes. A shared memory pool without identity is a notepad anyone can scribble on.

Every write should be attributable. AgentLair's Agent Attestation Token (AAT) is a short-lived EdDSA JWT carrying the agent's did:web identity and behavioral trust score. Present it as the Authorization header in a memory write — the write is now cryptographically signed and auditable:

import { AgentLair } from '@agentlair/sdk';

const lair = new AgentLair(process.env.AGENTLAIR_API_KEY!);

// Issue a short-lived AAT (5 min) scoped to the memory server const { token } = await lair.tokens.issue({ audience: 'memory.internal', ttl: 300, scopes: ['memory:write'], });

// Write to shared memory — this write is now attributed and trust-gated await fetch('https://memory.internal/mcp/memory/write', { method: 'POST', headers: { 'Authorization': Bearer ${token}, // signed agent identity 'Content-Type': 'application/json', }, body: JSON.stringify({ key: 'research/competitor-analysis', value: { /* ... */ }, }), });

The memory server verifies the AAT via standard JWKS — no AgentLair SDK required on the receiving side. The al_trust claim lets it gate writes by behavioral trust level (e.g., reject writes from agents below junior).

Without AATs: shared memory = shared notepad. Any agent writes anything, contested state has no provenance. With AATs: shared memory = trust graph. Every write is signed, attributed, and auditable.

SDK

npm install @agentlair/sdk

TypeScript client for the AgentLair API. See agentlair.dev/getting-started.

Free tier

  • 10 emails/day
  • 100 API requests/day
  • 10 email addresses

Pro: $5/stack/month for higher limits.

Architecture

  • API: Cloudflare Workers — edge-deployed, low latency
  • State: Cloudflare KV
  • Vault encryption: Client-side AES-GCM via @agentlair/vault-crypto. The server stores ciphertext only — no plaintext credentials at rest.
  • Audit trail: Ed25519-signed event chains. Each event is independently verifiable without trusting the server.

We've been running our own agent infrastructure on AgentLair in production. Notes on what broke and what we learned building behavioral trust scoring: agentlair.dev/blog/from-0-to-41-building-behavioral-trust-in-production

Documentation

agentlair.dev/getting-started

AAT × APS boundary (cross-protocol reference)

AgentLair AAT is session identity inside the issuer. AEOESS APS is delegation chains and bilateral receipts after handoff. Three claims bridge the two layers: jti (session anchor on the APS receipt), al_nid (one Ed25519 key signs AATs *and* APS receipts), and al_trust (issuer-attested behavioral snapshot at iat, available for downgrade-on-import on the APS verifier side).

Jointly maintained reference:

Repository structure

packages/

worker/ — Core API worker (Cloudflare Workers) sdk/ — @agentlair/sdk client library mcp-server/ — @agentlair/mcp MCP server vault-crypto/ — @agentlair/vault-crypto end-to-end encryption verify/ — @agentlair/verify AAT token verification email-worker/ — Email processing worker

apps/ dashboard/ — Agent dashboard UI email-channel/ — Email MCP channel

Development

bun install        # install all dependencies

bun run typecheck # type-check all packages

License

MIT

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