Integration
Connect DenserChat to GBIF
When When Question Processed by Your Chatbot fires in DenserChat, your agent runs Match species name in GBIF. 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 DenserChat and GBIF 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 DenserChat can start in GBIF
When When Question Processed by Your Chatbot in DenserChat
then Match species name in GBIF
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 DenserChat and GBIF
Triggers and actions 1 trigger · 10 actions
- When Question Processed by Your Chatbot
Triggers when your chatbot processes a question, returning the conversation with its latest questions and answers.
- List conversations
Returns your Denser chatbot's conversations, optionally only one end user's, with their messages.
- Process Input Text
Sends a question to your Denser chatbot and returns its answer with the source passages it cited, optionally as one of your users and within an ongoing conversation.
- Find datasets
Search across all datasets registered with GBIF (occurrence datasets, checklists, etc) by query text, type, publishing org, or country.
- Find occurrences
Search occurrence records indexed by GBIF using structured filters (scientific name/taxonKey, country, dataset, date range, geometry, basisOfRecord, etc).
- Find species
Full-text search over name usages (species/taxa) in the GBIF Taxonomic Backbone and other checklists.
- Get dataset
Retrieve full details of a single GBIF-registered dataset by its key (UUID).
- Get occurrence
Retrieve a single occurrence record by its GBIF occurrence id.
- Get species
Retrieve a single name usage (species/taxon) record by its GBIF usage key.
- Match species name
Fuzzy-match a scientific name string against the GBIF Backbone Taxonomy to resolve it to a canonical taxon key.
- Parse scientific name
Parse one or more free-text scientific name strings into their structured components (genus, specificEpithet, authorship, rank, etc) using GBIF's name parser.
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
More from DenserChat
DenserChat to HubSpotHubSpot is your all-in-one stop for all of your marketing software needs.
DenserChat to SalesforceSalesforce is a leading enterprise customer relationship management (CRM) platform.
DenserChat to SlackSlack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...
DenserChat to Google SheetsGoogle Sheets
DenserChat to GmailGmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...
DenserChat to Google CalendarGoogle Calendar is a time management tool providing scheduling features, event reminders, and integration...
More into GBIF
Questions
DenserChat and GBIF, answered
What can start an automation from DenserChat?
Any of DenserChat's 1 trigger in the catalog, including When Question Processed by Your Chatbot. Describe the moment in plain language and your agent picks the right one.
What can your agent do in GBIF when something happens in DenserChat?
Any of GBIF's 8 actions, including Find datasets, Find occurrences, Find species and Get dataset. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from GBIF to DenserChat?
GBIF has no triggers in the catalog today, so automations start in DenserChat. If you need the other direction, ask: your agent reads GBIF's API documentation and adds it.
Do I have to build a connector for DenserChat or GBIF?
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 DenserChat and GBIF 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.