# Biel

> Use this tool when you need to provide AI assistants with access to documentation and knowledge bases, solving the problem of integrating conversational AI with technical documentation systems. It takes project slug and domain parameters as input and outputs relevant documentation via Server-Sent Events, acting as a bridge between MCP clients and documentation sources. Use Biel in contexts where conversational access to product documentation, API specifications, and troubleshooting guides is necessary, such as in customer support or technical inquiry scenarios.

Canonical page: https://skillsregistry.net/skills/biel  
JSON: https://api.skillsregistry.net/v1/skills/biel

## Description

MCP server implementation by TechDocs Studio that provides AI assistants with access to documentation and knowledge bases through a remote proxy architecture using Server-Sent Events (SSE). The implementation runs as a FastAPI server on port 7832 and acts as a bridge between MCP clients and documentation systems, requiring project slug and domain parameters to connect to specific documentation sources via the mcp.biel.ai service. Built with Docker support and health monitoring, it enables AI assistants to query product documentation, API specifications, and troubleshooting guides without direct API integration, serving teams that want conversational access to their technical documentation and knowledge management systems.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/biel)
- **Repository:** <https://github.com/techdocsstudio/biel-mcp>

## 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": "biel"
    }
  }
}
```

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