# IQ.wiki

> Use this tool when you need to access structured blockchain encyclopedia data, such as retrieving specific wikis or listing user-created content, to reference or analyze authoritative information on blockchain and cryptocurrency. It provides a GraphQL interface to input queries and retrieve detailed wiki activity histories with metadata. Ideal for AI assistants requiring reliable data sources, IQ.wiki enables efficient retrieval of relevant information through its clean service-based architecture.

Canonical page: https://skillsregistry.net/skills/iqai-iqwiki  
JSON: https://api.skillsregistry.net/v1/skills/iqai-iqwiki

## Description

MCP-IQWiki is a TypeScript server that provides structured access to IQ.wiki's blockchain encyclopedia data through GraphQL. Developed by IQAI, it offers four key tools: retrieving specific wikis by ID, listing wikis created or edited by a user, and obtaining detailed wiki activity histories with metadata about content changes. The implementation uses a clean service-based architecture with GraphQL queries to the Everipedia backend, making it particularly useful for AI assistants that need to reference or analyze blockchain and cryptocurrency information from authoritative sources.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

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

## 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": "iqai-iqwiki"
    }
  }
}
```

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