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
- 01Manage conversations, contacts, and CRM
- 02Operate AI agents and Meta Business Agent
- 03Manage WhatsApp templates, campaigns, and flows
- 04Access analytics, administration, and Help Center
- 05Use plugins and shared operational skills
Use cases
- 01Review conversations and CRM records
- 02Manage WhatsApp campaigns and flows
- 03Supervise AI agents and review analytics
- 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.
https://mcp.airys.chat/mcpclaude mcp add --transport http chat-airys https://mcp.airys.chat/mcp{"mcpServers":{"chat-airys":{"type":"http","url":"https://mcp.airys.chat/mcp"}}}Open in Cursor{"servers":{"chat-airys":{"type":"http","url":"https://mcp.airys.chat/mcp"}}}Open in VS Code{"mcpServers":{"chat-airys":{"type":"http","url":"https://mcp.airys.chat/mcp"}}}{"mcpServers":{"chat-airys":{"serverUrl":"https://mcp.airys.chat/mcp"}}}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.
Tools
Details
From the project READMEAirysChat 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 (
80stable,98beta,34experimental) + 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
| Release | Theme | Target |
|---|---|---|
| 0.2.0 | Foundation + API catalog (airyschat_api_search) | 2026-11-09 |
| 0.3.0 | CRM & contacts | 2026-11-30 |
| 0.4.0 | AI agents & Meta Business Agent | 2026-12-14 |
| 0.5.0 | WhatsApp complete & reports | 2027-01-11 |
| 0.6.0 | Hosted MCP on Cloud Run + scoped MCP tokens | 2027-03-01 |
| 0.7.0 | MCP Apps, elicitation, tasks | 2027-03-22 |
| 0.8.0 | Admin & help center | 2027-04-12 |
| 0.9.0 | Airys platform API toolset | after platform M2 |
| 1.0.0 | GA: public npm, MCP Registry, 4 client plugins, connector directories | 2027-05-31 |
Coverage is computed from the AirysChat routes: docs/api/coverage.md.
Repository
| Path | |
|---|---|
packages/server | The 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.json | Official MCP Registry manifest (chat.airys/mcp) |
specs/ | Lanes, tasks and verification — the plan |
docs/tools/reference.md | Generated reference for all 212 tools |
docs/quickstart.md | Per-client setup (Claude, Codex, Gemini CLI, Antigravity, Cursor, Muse) |
docs/safety-model.md | Indirect prompt-injection fencing, write gates, elicitation, SSRF |
docs/stability-policy.md | API stability policy & frozen stable tool surface |
docs/guides/ | Meta WhatsApp Business Tools MCP complementarity & Meta Muse setup |
docs/adr | Architecture decisions |
docs/api | API inventory and coverage |
docs/research | Market research (dated) |
docs/architecture.md | How the pieces fit |
AGENTS.md | Guide 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
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.