# Tenderly

> Use this tool when you need to simulate, debug, and optimize smart contract transactions on various Ethereum Virtual Machine (EVM) networks. It solves problems related to contract testing, gas analysis, and multi-step flow verification, providing a comprehensive interface for creating Virtual TestNets, inspecting contracts, and analyzing transaction outputs. Ideal for use in blockchain development and testing contexts where accuracy and efficiency are crucial.

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

## Description

Simulate, debug, and trace smart contract transactions on 100+ EVM networks. Create Virtual TestNets, inspect contracts, analyze gas, and test multi-step flows.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/tenderly/tenderly-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": "tenderly-tenderly-mcp"
    }
  }
}
```

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