Integration
Connect Glean and Manifestly Checklists Agent
When New Search Result fires in Glean, your agent runs Change Step State in Manifestly Checklists Agent, or Run Late in Manifestly Checklists Agent to Run Agent and Wait in Glean. 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 Glean 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 Glean and Manifestly Checklists Agent can do together
From Glean to Manifestly Checklists Agent
When New Search Result in Glean
then Change Step State in Manifestly Checklists Agent
When New Search Result in Glean
then Run Workflow in Manifestly Checklists Agent
From Manifestly Checklists Agent to Glean
When Run Late in Manifestly Checklists Agent
then Run Agent and Wait in Glean
When Run Late in Manifestly Checklists Agent
then Chat Message/Conversation in Glean
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 Glean and Manifestly Checklists Agent
Triggers and actions 2 triggers · 12 actions
Trigger
New Search ResultTriggered when a new document appears in the Glean search results for a query you choose.
Action
Chat Message/ConversationSends a message or conversation history to Glean AI and returns its answer, along with the chat it belongs to and suggested follow-up prompts.
Action
Find DocumentReturns the Glean documents, with their metadata, that match the document IDs or URLs you specify.
Action
Get Documents and Events FeedReturns the user's personalized Glean feed, including suggested and recent documents, calendar events, announcements and other content.
Action
Report Client ActivityReports an event that happened to a result in a Glean client, such as a search result view, click or vote. Glean uses these signals to improve search quality.
Action
Report Document ActivityReports user activity on indexed documents, such as views, edits, searches and comments, to Glean to improve search quality.
Action
Run Agent and WaitRuns a Glean agent and waits for it to finish, returning the agent's final response messages and run status.
Action
SearchReturns documents from the Glean index that match the search terms and any filters you provide.
Trigger
Run LateTriggers when a run is late.
Action
Change Step StateCompletes, reopens, skips, starts, stops or stores data on a step of a Manifestly checklist run.
Action
Get RunLook 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.
Action
List Run StepsReturns the steps of a checklist run
Action
List WorkflowsReturns the checklist workflows in your Manifestly account.
Action
Run WorkflowStarts 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
Glean and Manifestly Checklists Agent, answered
What can start an automation from Glean?
Any of Glean's 1 trigger in the catalog, including New Search Result. 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 Glean?
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 Glean?
Yes. When something happens in Manifestly Checklists Agent, your agent can act in Glean too. This page covers both directions: Manifestly Checklists Agent's triggers and Glean's actions are listed here as well.
Do I have to build a connector for Glean 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 Glean 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.