# Concordia MCP

> Use this tool when you need to gain real-time insights into Solana wallet performance and DeFi positions, or to inform investment strategies with AI-driven recommendations. It solves problems of portfolio fragmentation and limited visibility into cross-protocol activities, providing a comprehensive analytics interface for users to input wallet data and receive actionable outputs. Ideal for use in the context of Solana ecosystem engagement, DeFi investment, or portfolio management.

Canonical page: https://skillsregistry.net/skills/the400milliondollarcorporation-concordia-mcp  
JSON: https://api.skillsregistry.net/v1/skills/the400milliondollarcorporation-concordia-mcp

## Description

Provides comprehensive analytics for Solana wallets, enabling real-time portfolio insights, cross-protocol DeFi position monitoring, behavioral analytics, and AI-powered investment strategy recommendations across the Solana ecosystem.

## 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:** data-analytics
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xqchi38t2o)
- **Repository:** <https://github.com/The400MillionDollarCorporation/Concordia-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": "the400milliondollarcorporation-concordia-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/the400milliondollarcorporation-concordia-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/the400milliondollarcorporation-concordia-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
