# solid-mcp

> Use this tool when you need to integrate AI models with Solid protocol pods, enabling read, write, search, and management of resources. It solves problems of data accessibility and interoperability for AI applications, allowing them to interact with Solid pods seamlessly. The solid-mcp server takes AI model requests as input and outputs managed resources, making it ideal for use cases requiring AI-driven data manipulation in Solid ecosystems.

Canonical page: https://skillsregistry.net/skills/jeswr-solid-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jeswr-solid-mcp

## Description

MCP server for the Solid protocol enabling AI models to read, write, search, and manage resources in Solid pods.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mzw125lr8m)
- **Repository:** <https://github.com/jeswr/solid-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": "jeswr-solid-mcp"
    }
  }
}
```

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

---
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