Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Description from the maker (original English)
Give AI agents a real email address, vault, calendar, and task delegation via MCP.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
AGENTLAIR_API_KEY, AuthorizationValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
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'claude mcp add agentlair --env AGENTLAIR_API_KEY=your-value -- npx -y @agentlair/mcpFill in the empty values before running it.
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"
}
}
}
}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.
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"
}
}
}
}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.
Authorization secret required HTTP headerThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
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_emailSend an email from your AgentLair address (@agentlair.dev) to any recipient. No SMTP or DNS setup needed.
check_inboxCheck the inbox for an @agentlair.dev email address. Returns recent messages with sender, subject, and received time.
read_messageRead the full content of a specific email message, including the body text.
list_addressesList all @agentlair.dev email addresses associated with your API key.
claim_addressClaim a new @agentlair.dev email address for your agent. Free tier supports multiple addresses.
preflight_trust_checkCheck 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_putStore 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_getRetrieve a stored value from the AgentLair Vault by key name.
vault_listList all keys stored in your AgentLair Vault (metadata only, values not returned).
vault_deleteDelete a key and all its versions from the AgentLair Vault.
calendar_create_eventCreate a calendar event on your AgentLair calendar. Events are published via iCal feed for human subscription (Google Calendar, Apple Calendar, Outlook).
calendar_list_eventsList events on your AgentLair calendar. Optionally filter by date range.
calendar_delete_eventDelete an event from your AgentLair calendar by event ID. Use calendar_list_events to find event IDs.
calendar_get_feedGet 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_taskDelegate 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.
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
The registry name was verified with the GitHub account piiiico, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 69 ms (HTTP 200)
No sign-in needed
Read 15 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: AGENTLAIR_API_KEY, Authorization
Either way works: install it on your computer or connect to the cloud version.
The GitHub repo last changed –, and the latest version (1.3.1) reached the registry 3 days ago.
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.
In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
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
Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
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.
Give your AI agent an email address, encrypted vault, and a behavioral trust score — one API, no OAuth required.
| Capability | Description |
|---|---|
Send and receive at @agentlair.dev. No OAuth, no human approval required. | |
| Vault | Encrypted credential storage. Client-side AES-GCM — the server stores ciphertext only. |
| Audit Trail | Every action logged with Ed25519 signatures. Tamper-evident, independently verifiable. Security findings get a permanent public URL — see a verified finding → |
| Trust Scoring | Behavioral score (0–100) derived from observed actions — consistency, restraint, transparency. |
| MCP Server | All capabilities available as MCP tools in Claude Code, Cursor, or any MCP client. |
| Pods | Namespace isolation for multi-agent or multi-tenant deployments. |
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'
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
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.
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.
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 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.
npm install @agentlair/sdk
TypeScript client for the AgentLair API. See agentlair.dev/getting-started.
Pro: $5/stack/month for higher limits.
@agentlair/vault-crypto. The server stores ciphertext only — no plaintext credentials at rest.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
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:
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
bun install # install all dependencies
bun run typecheck # type-check all packages
MIT