# XGR MCP Gateway

> Use this tool when you need to access and interact with XGR blockchain data, enabling queries and on-chain actions through natural language inputs. It solves problems related to blockchain data retrieval and transaction preparation, providing outputs such as chain status, sessions, transactions, and contracts. Ideal for use cases requiring AI-native integration with XGR blockchain, it accepts natural language inputs and returns relevant data and prepared on-chain actions.

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

## Description

An MCP server providing AI-native access to XGR blockchain data, enabling queries about chain status, sessions, transactions, and contracts, as well as preparing owner-signed on-chain actions via natural language.

## Trust

- **Trust score (0–1):** 0.86
- **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:** [Glama](https://glama.ai/mcp/servers/ce1g0u2jkm)
- **Repository:** <https://github.com/xgr-network/xgr-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": "xgr-network-xgr-mcp"
    }
  }
}
```

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