# bidur

> bidur — ogulcanakca-bidur. Use this tool when you need to collect user input via dynamic web forms for AI agents, and want a seamless integration with minimal UI configuration. Bidur solves the problem of gathering real user data for agentic workflows, supporting Server-Sent Events (SSE) transport and Docker deployment. It takes field names as input and generates the UI, outputting user data for AI agents, with integration capabilities via OpenAI Agents SDK and git.

Canonical page: https://skillsregistry.net/skills/ogulcanakca-bidur  
JSON: https://api.skillsregistry.net/v1/skills/ogulcanakca-bidur

## Description

MCP server for AI agents to collect user input via dynamic web forms. Just provide field names, AI generates the UI. Supports SSE transport, Docker deployment, and OpenAI Agents SDK guardrails/tracing. Best for agentic workflows needing real user data.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ogulcanakca/bidur)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ogulcanakca-bidur"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ogulcanakca-bidur` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ogulcanakca-bidur/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt