# Ask Bera

> Use this tool when you need to access the Berachain ecosystem and quickly find answers to questions related to DeFi protocols, oracles, and smart contracts. Ask Bera provides instant access to documentation and knowledge, leveraging Retrieval Augmented Generation (RAG) to aid in development and deployment. It takes in queries and returns relevant information, making it an ideal solution for AI agents working with blockchain technologies.

Canonical page: https://skillsregistry.net/skills/serpepe-bera-mcp  
JSON: https://api.skillsregistry.net/v1/skills/serpepe-bera-mcp

## Description

Ask Bera MCP is a powerful Model Context Protocol (MCP) server that gives AI agents instant access to the entire Berachain ecosystem. Built with RAG (Retrieval Augmented Generation), it's like having a knowledgeable bear by your side that never forgets where the honey is—or in this case, where all the documentation lives!

Whether you're building DeFi protocols, integrating oracles, or deploying smart contracts, Bera MCP helps you find answers faster than you can say "Honey!" 🍯

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/SerPepe/bera-mcp)
- **Repository:** <https://github.com/SerPepe/bera-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": "serpepe-bera-mcp"
    }
  }
}
```

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