# bilibili-mcp

> Use this tool when you need to automate interactions with Bilibili, a popular video sharing platform, to streamline tasks such as content publishing, data analysis, and user engagement. It provides 27 tools for various operations, including login, search, and interaction, allowing for efficient management of Bilibili accounts. Ideal for social media management, content creation, and data-driven decision making on the Bilibili platform.

Canonical page: https://skillsregistry.net/skills/adoresever-bilibili-mcp  
JSON: https://api.skillsregistry.net/v1/skills/adoresever-bilibili-mcp

## Description

Enables AI assistants to directly operate Bilibili, providing 27 tools for login, search, content publishing, data analysis, and interaction.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ij83sye7sl)
- **Repository:** <https://github.com/adoresever/bilibili-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": "adoresever-bilibili-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adoresever-bilibili-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adoresever-bilibili-mcp/pull`

---
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