Integration
Connect ConfigCat to FakeNamely
When something happens in ConfigCat, your agent does the next thing in FakeNamely. 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 ConfigCat and FakeNamely 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 ConfigCat can start in FakeNamely
When Feature Flag & Setting value changed in ConfigCat
then Validate value in FakeNamely
When Feature Flag & Setting value changed in ConfigCat
then Generate address in FakeNamely
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 ConfigCat and FakeNamely
Triggers and actions 1 trigger · 34 actions
Trigger
Feature Flag & Setting value changedTriggers when a ConfigCat Feature Flag or Setting value is changed.
Action
Add ConfigCreate a new config within a product.
Action
Add FlagCreate a new feature flag or setting within a config.
Action
Add SegmentCreate a new segment within a product.
Action
Add TagCreate a new tag within a product.
Action
Delete ConfigDelete a config.
Action
Delete FlagDelete a feature flag or setting.
Action
Delete SegmentDelete a segment.
Action
Delete TagDelete a tag.
Action
Get ConfigGet a single config by id.
Action
Get EnvironmentGet a single environment by id.
Action
Get FlagGet a single feature flag or setting by id.
Action
Get Flag valueGet the current served value of a feature flag or setting in an environment.
Action
Get ProductGet a single product by id.
Action
Get SegmentGet a single segment by id.
Action
Get TagGet a single tag by id.
Action
List ConfigsList all configs (SDK config bundles) within a product.
Action
List EnvironmentsList all environments within a product.
Action
List FlagsList all feature flags and settings within a config.
Action
List OrganizationsList all organizations the caller has access to.
Action
List ProductsList all products the caller has access to.
Action
List SegmentsList all segments within a product.
Action
List TagsList all tags within a product.
Action
Update ConfigUpdate a config's name/description/order.
Action
Update EnvironmentUpdate an environment's name/color/description.
Action
Update FlagUpdate a feature flag or setting's metadata (name, hint, tags).
Action
Update Flag valueUpdate (turn on/off, change served value or targeting) a feature flag or setting's value in an environment.
Action
Update SegmentUpdate a segment's name/rules.
Action
Update TagUpdate a tag's name/color.
Action
Generate addressGenerate one or more fictional postal addresses in a given country's format.
Action
Generate fieldGenerate a single fake field value (phone, email, username, password, guid, zip, coordinates, location, city, country, company, or imei).
Action
Generate identityGenerate one or more complete fictional identities (name, address, contact details) for testing or database seeding.
Action
Generate IMEIGenerate one or more Luhn-valid test IMEI numbers.
Action
Generate nameGenerate one or more fictional personal names.
Action
Validate valueCheck a value's checksum/format validity (Luhn, card, IBAN, ABA, VIN, or password strength) and return a verdict plus structured detail.
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
ConfigCat and FakeNamely, answered
What can start an automation from ConfigCat?
Any of ConfigCat's 1 trigger in the catalog, including Feature Flag & Setting value changed. Describe the moment in plain language and your agent picks the right one.
What can your agent do in FakeNamely when something happens in ConfigCat?
Any of FakeNamely's 6 actions, including Generate address, Generate field, Generate identity and Generate IMEI. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from FakeNamely to ConfigCat?
FakeNamely has no triggers in the catalog today, so automations start in ConfigCat. If you need the other direction, ask: your agent reads FakeNamely's API documentation and adds it.
Do I have to build a connector for ConfigCat or FakeNamely?
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.