--- title: "Connect Buffer to AI Model Watch - APIANT.ai" description: "When \"New media post by you\" fires in Buffer, your agent runs \"List deprecations\" in AI Model Watch." canonical: "https://apiant.ai/connect/buffer-to-ai-model-watch" --- # Connect Buffer to AI Model Watch When **New media post by you** fires in [Buffer](https://apiant.ai/connections/buffer), your agent runs **List deprecations** in [AI Model Watch](https://apiant.ai/connections/ai-model-watch). Describe the whole flow and it is built, tested on every scenario and kept running. Buffer **2** triggers Buffer **7** actions AI Model Watch **2** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Buffer and AI Model Watch to do together? Give your AI client this address. `https://mcp.apiant.ai` One connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser. ### Set it up in your client ### Claude Code Run this in the directory you want to work in. `claude mcp add --transport http -s project apiant-ai https://mcp.apiant.ai` Start Claude Code there, approve the server, and sign in in the browser page it opens. [Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code) ### Claude, web and desktop Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Cursor Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Zed Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Codex and the ChatGPT desktop app Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Any other MCP client Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) Example flows ## What Buffer can start in AI Model Watch - When **New media post by you** in Buffer then **List deprecations** in AI Model Watch - When **New post by you** in Buffer then **List models** in AI Model Watch Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships. Everything your agent can do with Buffer and AI Model Watch ## Triggers and actions 2 triggers · 9 actions - Trigger **New media post by you** Triggered every time you add a new post to Buffer or post now via Buffer with a media URL in the post. - Trigger **New post by you** Triggered every time you add a new post to Buffer or post now via Buffer. - Action **Add tag** Create a tag via Buffer GraphQL createTag mutation (experimental). See developers.buffer.com/examples/create-tag.html - Action **Delete tag** Deletes a tag by ID. The tag is removed from every post, idea and content item carrying it. - Action **Get channel** Get one channel by id via Buffer GraphQL channel query. See developers.buffer.com/examples/get-channel.html - Action **Get post** Returns a single Buffer post by its id, including its text, status, schedule, channel, tags, media and metrics. - Action **List channels** List channels of an organization via Buffer GraphQL channels query (supports filters). See developers.buffer.com/examples/get-channels.html - Action **List organizations** List the account's organizations via Buffer GraphQL account.organizations query. See developers.buffer.com/examples/get-organizations.html - Action **Update tag** Update a tag via Buffer GraphQL updateTag mutation. See developers.buffer.com/examples/update-tag.html - Action **List deprecations** Returns the deprecation and retirement timeline for AI models. - Action **List models** Returns the full AI model catalog. ## Each app on its own - [ **Buffer** Buffer lets you schedule and publish social media posts across multiple profiles.](https://apiant.ai/connections/buffer) - [ **AI Model Watch** Daily-updated prices, context windows & deprecation/EOL dates for 190+ AI/LLM models, sourced from official...](https://apiant.ai/connections/ai-model-watch) Reviews ## What our customers say ## More from Buffer - [ **Buffer to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/buffer-to-hubspot) - [ **Buffer to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/buffer-to-salesforce) - [ **Buffer to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/buffer-to-slack) - [ **Buffer to Google Sheets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/buffer-to-google-sheets) - [ **Buffer to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/buffer-to-gmail) - [ **Buffer to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/buffer-to-google-calendar) ## More into AI Model Watch - [ **Ontraport to AI Model Watch** Ontraport is an all-in-one CRM, marketing automation, and e-commerce platform.](https://apiant.ai/connect/ontraport-to-ai-model-watch) - [ **HubSpot to AI Model Watch** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-ai-model-watch) - [ **Salesforce to AI Model Watch** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-ai-model-watch) - [ **Slack to AI Model Watch** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-ai-model-watch) - [ **Google Sheets to AI Model Watch** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-ai-model-watch) - [ **Gmail to AI Model Watch** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-ai-model-watch) Questions ## Buffer and AI Model Watch, answered ### ### What can start an automation from Buffer? Any of Buffer's 2 triggers in the catalog, including New media post by you and New post by you. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in AI Model Watch when something happens in Buffer? Any of AI Model Watch's 2 actions, including List deprecations and List models. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from AI Model Watch to Buffer? AI Model Watch has no triggers in the catalog today, so automations start in Buffer. If you need the other direction, ask: your agent reads AI Model Watch's API documentation and adds it. ### ### Do I have to build a connector for Buffer or AI Model Watch? No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running. ### ### Can my AI client use Buffer and AI Model Watch without building an automation? Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both. ### ### What happens when something fails? Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships. ### ### Is there a free plan? Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.