Integration
Connect Buffer and Manifestly Checklists Agent
When New media post by you fires in Buffer, your agent runs Change Step State in Manifestly Checklists Agent, or Run Late in Manifestly Checklists Agent to Get channel in Buffer. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Buffer and Manifestly Checklists Agent to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne 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.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)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)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)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)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)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)Example flows
What Buffer and Manifestly Checklists Agent can do together
From Buffer to Manifestly Checklists Agent
When New media post by you in Buffer
then Change Step State in Manifestly Checklists Agent
From Manifestly Checklists Agent to Buffer
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 Manifestly Checklists Agent
Triggers and actions 3 triggers · 12 actions
- 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.
- New post by you
Triggered every time you add a new post to Buffer or post now via Buffer.
- Add tag
Create a tag via Buffer GraphQL createTag mutation (experimental). See developers.buffer.com/examples/create-tag.html
- Delete tag
Deletes a tag by ID. The tag is removed from every post, idea and content item carrying it.
- Get channel
Get one channel by id via Buffer GraphQL channel query. See developers.buffer.com/examples/get-channel.html
- Get post
Returns a single Buffer post by its id, including its text, status, schedule, channel, tags, media and metrics.
- List channels
List channels of an organization via Buffer GraphQL channels query (supports filters). See developers.buffer.com/examples/get-channels.html
- List organizations
List the account's organizations via Buffer GraphQL account.organizations query. See developers.buffer.com/examples/get-organizations.html
- Update tag
Update a tag via Buffer GraphQL updateTag mutation. See developers.buffer.com/examples/update-tag.html
- Run Late
Triggers when a run is late.
- Change Step State
Completes, reopens, skips, starts, stops or stores data on a step of a Manifestly checklist run.
- Get Run
Look up one checklist run by its id and return its current details, including its title, state, progress, notes, tags and the workflow it came from.
- List Run Steps
Returns the steps of a checklist run
- List Workflows
Returns the checklist workflows in your Manifestly account.
- Run Workflow
Starts a new run of a Manifestly checklist workflow, optionally naming it, scheduling it and assigning the people who take part.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
Buffer and Manifestly Checklists Agent, 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 Manifestly Checklists Agent when something happens in Buffer?
Any of Manifestly Checklists Agent's 5 actions, including Change Step State, Get Run, List Run Steps and List Workflows. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Manifestly Checklists Agent to Buffer?
Yes. When something happens in Manifestly Checklists Agent, your agent can act in Buffer too. This page covers both directions: Manifestly Checklists Agent's triggers and Buffer's actions are listed here as well.
Do I have to build a connector for Buffer or Manifestly Checklists Agent?
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 Manifestly Checklists Agent 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.