# graph-lending-mcp

> Use this tool when you need to unify and simplify access to lending data across multiple blockchain protocols. It solves the problem of fragmented and disparate lending data by providing a single interface to query 40+ lending protocols on multiple chains, returning structured and comparable data. This tool is ideal for use cases requiring standardized and aggregated lending data, such as market research, portfolio optimization, or risk analysis.

Canonical page: https://skillsregistry.net/skills/paulieb14-graph-lending-mcp  
JSON: https://api.skillsregistry.net/v1/skills/paulieb14-graph-lending-mcp

## Description

MCP server that exposes unified AI-friendly tools over Messari's standardized lending subgraphs on The Graph.

One natural-language query → fan out across 40+ lending protocols on multiple chains → get back structured, comparable data.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iohguv6uiu)
- **Repository:** <https://github.com/PaulieB14/graph-lending-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": "paulieb14-graph-lending-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/paulieb14-graph-lending-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/paulieb14-graph-lending-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