# Kxcoscan AI Tools

> Use this tool when you need to access blockchain data through natural language queries, enabling AI agents to retrieve wallet balances, transaction histories, and contract details. It solves problems related to blockchain data retrieval and analysis, providing structured endpoints for seamless integration. The Kxcoscan AI Tools server accepts natural language inputs and returns relevant blockchain data as output, ideal for use cases requiring efficient and intuitive blockchain data access.

Canonical page: https://skillsregistry.net/skills/keralpatel-kxcoscan-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/keralpatel-kxcoscan-mcp-server

## Description

A production-ready MCP server that wraps the Kxcoscan blockchain explorer API into structured endpoints for AI agents. It enables users to query wallet balances, transaction histories, token transfers, and contract details via natural language.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-04-21

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nqm7zaekum)
- **Repository:** <https://github.com/KeralPatel/KXCOScan-MCP-Server>

## 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": "keralpatel-kxcoscan-mcp-server"
    }
  }
}
```

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