# Connect BigML and Buffer When **New project** fires in [BigML](https://apiant.ai/connections/bigml), your agent runs **Get channel** in [Buffer](https://apiant.ai/connections/buffer), or **New media post by you** in Buffer to **Get Resource Status** in BigML. Describe the whole flow and it is built, tested on every scenario and kept running. BigML **1** trigger BigML **4** actions Buffer **2** triggers Buffer **7** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want BigML and Buffer to do together? Give your AI client this address. `https://mcp.apiant.ai` 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 BigML and Buffer can do together ### From BigML to Buffer - When **New project** in BigML then **Get channel** in Buffer - When **New project** in BigML then **Get post** in Buffer ### From Buffer to BigML - When **New media post by you** in Buffer then **Get Resource Status** in BigML - When **New post by you** in Buffer then **List Datasets** in BigML 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 BigML and Buffer ## Triggers and actions 3 triggers · 11 actions - Trigger **New project** Triggered when a new project is created in BigML. Polls the BigML projects list endpoint and emits each project, deduplicated by its resource id. - Action **Get Resource Status** Retrieve a BigML resource by id (source/dataset/model/prediction) to poll its status and read results. - Action **List Datasets** List BigML datasets, optionally filtered/paginated. - Action **List Models** List BigML models, optionally filtered/paginated. - Action **List Sources** List BigML sources, optionally filtered/paginated. - 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 ## Each app on its own - [ **BigML** BigML is a machine learning platform for building, evaluating, and running predictive models.](https://apiant.ai/connections/bigml) - [ **Buffer** Buffer lets you schedule and publish social media posts across multiple profiles.](https://apiant.ai/connections/buffer) Reviews ## What our customers say ## More from BigML - [ **BigML to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/bigml-to-hubspot) - [ **BigML to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/bigml-to-salesforce) - [ **BigML to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/bigml-to-slack) - [ **BigML to Mailchimp** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/bigml-to-mailchimp) - [ **BigML to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/bigml-to-shopify) - [ **BigML to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/bigml-to-quickbooks-online) ## More into Buffer - [ **ActiveCampaign to Buffer** ActiveCampaign is a marketing automation, email marketing, and CRM platform.](https://apiant.ai/connect/activecampaign-to-buffer) - [ **Airtable to Buffer** Organize anything with Airtable, a modern database created for everyone.](https://apiant.ai/connect/airtable-to-buffer) - [ **Asana to Buffer** Asana is a collaborative information manager for workspace.](https://apiant.ai/connect/asana-to-buffer) - [ **Brevo to Buffer** Brevo is the leading CRM suite designed to cultivate long-term customer relationships and help businesses...](https://apiant.ai/connect/brevo-to-buffer) - [ **2Chat to Buffer** 2Chat is a conversational commerce automation tool for WhatsApp, Instagram, Messenger, and SMS.](https://apiant.ai/connect/2chat-to-buffer) - [ **3Scribe to Buffer** 3Scribe is the most accurate, automated text transcription available.](https://apiant.ai/connect/3scribe-to-buffer) Questions ## BigML and Buffer, answered ### ### What can start an automation from BigML? Any of BigML's 1 trigger in the catalog, including New project. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Buffer when something happens in BigML? Any of Buffer's 7 actions, including Update tag, Add tag, Get channel and Get post. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Buffer to BigML? Yes. When something happens in Buffer, your agent can act in BigML too. This page covers both directions: Buffer's triggers and BigML's actions are listed here as well. ### ### Do I have to build a connector for BigML or Buffer? 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. ### ### 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.