Build solutions, not workarounds.
What do you want Langfuse and Voidly to do together?
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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 Langfuse can start in Voidly
When New Trace in Langfuse
then Check accessibility in Voidly
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 Langfuse and Voidly
Triggers and actions 1 trigger · 31 actions
- New Trace
Polling trigger: fires for newly created traces (dedup by trace id / timestamp).
- Add Comment
Add a comment to a trace/observation/session/prompt object.
- Add Dataset
Create a new dataset.
- Add Dataset Item
Create an item (input/expected_output/metadata) in a dataset.
- Add Prompt
Create a new prompt version (text or chat).
- Add Score
Create a score attached to a trace/observation/session (numeric, categorical, or boolean).
- Delete Trace
Delete a trace by id.
- Get Project
Reads the Langfuse project that the connection's project-scoped API key belongs to.
- Get Prompt
Get a prompt by name (and optional version/label).
- Get Trace
Get a single trace by id, including nested observations/scores.
- List Dataset Items
List items in a dataset.
- List Datasets
List all datasets in the project.
- List Prompts
List all prompts in the project.
- List Scores
List scores with optional filters.
- Check accessibility
Check whether a domain/service is accessible in a given country.
- Detect censorship
Detect active censorship for a domain via the Hydra model.
- Fact-check claim
Auto-fact-check a natural-language censorship claim, returning a verdict and evidence permalinks.
- Find co-blocking country pairs by country
Finds the country pairs whose national blocking overlaps with the country you specify, with shared-domain, political and circumvention-tooling overlap counts.
- Get 7-day forecast
Get the 7-day shutdown current-regime risk signal for a country, with SHAP attribution.
- Get country censorship data
Get individual country censorship index data.
- Get election risk briefing
Get a full election censorship-risk briefing for a country.
- Get incident
Get a single censorship incident with evidence, by id.
- Get measurement summary
Get one-call global state of censorship measurement: countries measured, confirmed national blocks, deepest censor, etc.
- Get multi-horizon forecast
Get the free 1d/7d/30d shutdown forecast for a country with per-horizon SHAP and 90% conformal intervals.
- Get national restriction map
Get the national blocklist — per-country list of domains confirmed blocked nationally.
- Get platform risk
Get the global censorship risk profile for a platform (e.g. a messaging or social app), optionally scoped to one country.
- Get shutdown risk
Get the KeepItOn-validated 7-day shutdown risk prediction for a country.
- List censorship incidents
List censorship incidents from the evidence corpus.
- List ISP censorship index
List ISPs ranked by censorship score in a country.
- List shutdown risk leaderboard
List all countries sorted by current 7-day shutdown probability.
- Predict censorship risk
Predict censorship risk via the Hydra model.
- Verify claim
Verify a censorship-related claim against the evidence corpus.
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
Langfuse and Voidly, answered
What can start an automation from Langfuse?
Any of Langfuse's 1 trigger in the catalog, including New Trace. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Voidly when something happens in Langfuse?
Any of Voidly's 18 actions, including Check accessibility, Detect censorship, Fact-check claim and Find co-blocking country pairs by country. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Voidly to Langfuse?
Voidly has no triggers in the catalog today, so automations start in Langfuse. If you need the other direction, ask: your agent reads Voidly's API documentation and adds it.
Do I have to build a connector for Langfuse or Voidly?
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.