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AirysChat MCP Server

AirysChat MCP Server

Remote
airys.chatOther0Updated today

About AirysChat MCP Server

AirysChat MCP Server connects AI agents and MCP clients to AirysChat operations, including conversations, CRM, AI agents, WhatsApp campaigns, and administration. It also includes client plugins and shared skills for defined operational workflows.

Key features

  1. 01Manage conversations, contacts, and CRM
  2. 02Operate AI agents and Meta Business Agent
  3. 03Manage WhatsApp templates, campaigns, and flows
  4. 04Access analytics, administration, and Help Center
  5. 05Use plugins and shared operational skills

Use cases

  1. 01Review conversations and CRM records
  2. 02Manage WhatsApp campaigns and flows
  3. 03Supervise AI agents and review analytics
  4. 04Audit accounts and support operations

MCP support

The server exposes AirysChat operations through MCP tools, including an embedded API catalog, and provides three interactive MCP Apps. It supports stdio and stateless Streamable HTTP.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.airys.chat/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Packages
npm@airyschat/mcp1.0.1

Tools

Details

From the project README

AirysChat MCP

AirysChat for AI agents. This monorepo ships:

  • @airyschat/mcp — an MCP server that lets Claude, ChatGPT, Codex, Gemini, Antigravity, Muse and any MCP client work with AirysChat: conversations, contacts, CRM, AI Agents, Meta Business Agent, WhatsApp templates/campaigns/flows, analytics reports, account administration, Help Center, and the Airys Platform API (api.airys.chat).
  • Plugins for 4 agent clients: Claude Code, OpenAI Codex, Google Gemini CLI, and Google Antigravity.
  • Skills (skills/*) that encode safe AirysChat workflows (airyschat, triage, campaign-check, campaign-retro, crm-pipeline-review, agent-supervision, account-audit, number-health-watch).

Status — 212 curated & catalog tools across 9 toolsets (80 stable, 98 beta, 34 experimental) + embedded 807-endpoint catalog (airyschat_api_search + airyschat_api) + 3 interactive MCP Apps (ui://airyschat/*). See the Quickstart Guide, Generated Tool Reference, Safety Model, and Release Train.

Why this exists

Every major assistant now speaks MCP and installs plugins/skills. AirysChat customers increasingly operate through those assistants instead of a dashboard. The goal is simple: every AirysChat action reachable by any agent, safely — from a local install or a hosted URL (mcp.airys.chat).

Roadmap at a glance

ReleaseThemeTarget
0.2.0Foundation + API catalog (airyschat_api_search)2026-11-09
0.3.0CRM & contacts2026-11-30
0.4.0AI agents & Meta Business Agent2026-12-14
0.5.0WhatsApp complete & reports2027-01-11
0.6.0Hosted MCP on Cloud Run + scoped MCP tokens2027-03-01
0.7.0MCP Apps, elicitation, tasks2027-03-22
0.8.0Admin & help center2027-04-12
0.9.0Airys platform API toolsetafter platform M2
1.0.0GA: public npm, MCP Registry, 4 client plugins, connector directories2027-05-31

Coverage is computed from the AirysChat routes: docs/api/coverage.md.

Repository

Path
packages/serverThe MCP server (stdio + stateless Streamable HTTP)
plugins/Client plugin bundles (claude, codex, gemini, antigravity)
skills/Canonical shared operational skills synced into every plugin bundle
server.jsonOfficial MCP Registry manifest (chat.airys/mcp)
specs/Lanes, tasks and verification — the plan
docs/tools/reference.mdGenerated reference for all 212 tools
docs/quickstart.mdPer-client setup (Claude, Codex, Gemini CLI, Antigravity, Cursor, Muse)
docs/safety-model.mdIndirect prompt-injection fencing, write gates, elicitation, SSRF
docs/stability-policy.mdAPI stability policy & frozen stable tool surface
docs/guides/Meta WhatsApp Business Tools MCP complementarity & Meta Muse setup
docs/adrArchitecture decisions
docs/apiAPI inventory and coverage
docs/researchMarket research (dated)
docs/architecture.mdHow the pieces fit
AGENTS.mdGuide for coding agents (rules, skills, subagents)

Development

nvm use            # Node 24
corepack enable    # pnpm
pnpm install
pnpm check         # typecheck + smoke + inventory drift

See CONTRIBUTING.md for the feature/release workflow and SECURITY.md for reporting vulnerabilities.

License

MIT

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.