Integration
Connect Timely Time Tracking to PandaScore
When something happens in Timely Time Tracking, your agent does the next thing in PandaScore. Describe it 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 Timely Time Tracking and PandaScore to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 Timely Time Tracking can start in PandaScore
When New Client in Timely Time Tracking
then Get league in PandaScore
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 Timely Time Tracking and PandaScore
Triggers and actions 6 triggers · 34 actions
- New Client
Triggered when a new client is created
- New or Updated Person
Triggered when a person is created or updated in Timely
- New or Updated Project
Triggers when a project is created or updated.
- New or Updated Time Entry
Triggers when time entries are created or updated.
- New Project
Triggered when a new project is created
- New Time Entry
Triggered when a new time entry is created
- Add tag
Create a tag.
- Create Client
Creates a Client
- Create Person
Creates a new person in the workspace.
- Create Project
Creates a project.
- Delete project
Delete a project.
- Delete time entry
Delete a time entry.
- Find Client
Returns the clients in a Timely workspace whose name matches the given text.
- Find Project
Returns the projects whose name contains the specified text.
- Find Tag List and Tag
Finds a tag list and a specific tag if specified.
- Find time entries by criteria
Search time entries by date range, user, project.
- Find User
Finds a User
- Log Time Entry
Logs a new time entry against a project.
- Start timer
Start the timer on a time entry.
- Stop timer
Stop the running timer on a time entry.
- Update client
Update a client.
- Update Project Name
Updates only the name of an existing project. Look up the project by Timely Project ID or by External ID (recommended when the source-of-truth system stores the Timely external_id, e.g. NetSuite).
- Update time entry
Update a logged time entry.
- Get league
Get a single league by ID or by slug.
- Get match
Return a single esports match by id.
- Get player
Return a single player by id.
- Get serie
Return a single serie by id.
- Get team
Get a single esports team by ID or slug.
- Get tournament
Return a single tournament by id.
- Get tournament standings
Return standings for a tournament.
- List incidents
Lists the latest additions, changes and deletions of PandaScore leagues, matches, players, series, teams and tournaments. Only the latest incident per record is kept.
- List leagues
Lists esports leagues, optionally filtered, searched, ranged and sorted. Returns one page of up to 50 leagues.
- List matches
Return all esports matches with filtering.
- List players
Return all esports players.
- List running matches
Lists esports matches that are currently in progress, across every videogame, with optional filtering, ranges, text search and sorting.
- List series
Return all esports series (groups of matches).
- List teams
Return all esports teams.
- List tournaments
Return all esports tournaments.
- List upcoming matches
Lists upcoming esports matches across all videogames, with optional filters, ranges, searches and sort order.
- List videogames
List the videogames PandaScore covers, with each game's leagues and series.
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
Timely Time Tracking and PandaScore, answered
What can start an automation from Timely Time Tracking?
Any of Timely Time Tracking's 6 triggers in the catalog, including New Client, New or Updated Person, New or Updated Project and New or Updated Time Entry. Describe the moment in plain language and your agent picks the right one.
What can your agent do in PandaScore when something happens in Timely Time Tracking?
Any of PandaScore's 17 actions, including Get league, Get match, Get player and Get serie. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from PandaScore to Timely Time Tracking?
PandaScore has no triggers in the catalog today, so automations start in Timely Time Tracking. If you need the other direction, ask: your agent reads PandaScore's API documentation and adds it.
Do I have to build a connector for Timely Time Tracking or PandaScore?
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.