# Web3 Research MCP

> Use this tool when you need to conduct in-depth research on cryptocurrency tokens, requiring aggregated data from multiple sources like CoinGecko and DeFiLlama. It solves problems of data fragmentation and manual research by generating structured reports and allowing users to track progress, fetch web content, and manage local resources. Ideal for comprehensive crypto analysis, it takes in parameters like token IDs and sources, and outputs detailed, structured reports for informed decision-making.

Canonical page: https://skillsregistry.net/skills/haskellfan-web3-research-mcp  
JSON: https://api.skillsregistry.net/v1/skills/haskellfan-web3-research-mcp

## Description

Enables deep research into cryptocurrency tokens by gathering data from multiple sources like CoinGecko and DeFiLlama to generate structured reports. It allows users to track research progress, fetch web content, and manage resources locally for comprehensive crypto analysis.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/inggl6dkiz)
- **Repository:** <https://github.com/HaskellFan/web3-research-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": "haskellfan-web3-research-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/haskellfan-web3-research-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/haskellfan-web3-research-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