# mcp-solid-pod

> mcp-solid-pod — memori-ai-mcp-solid-pod. Use this tool when you need to interact with Solid Pods for data reading, searching, and writing, leveraging LDP/RDF protocols with secure headless client-credentials authentication. It solves problems related to data management and integration with Solid ecosystems, providing a server-based solution for authenticated data access. Ideal for use cases requiring programmatic data interaction with Solid Pods in a secure and standardized manner.

Canonical page: https://skillsregistry.net/skills/memori-ai-mcp-solid-pod  
JSON: https://api.skillsregistry.net/v1/skills/memori-ai-mcp-solid-pod

## Description

MCP server for reading, searching, and optionally writing data in Solid Pods via LDP/RDF with headless client-credentials authentication.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r5hkp6kdnw)
- **Repository:** <https://github.com/memori-ai/mcp-solid-pod>

## 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": "memori-ai-mcp-solid-pod"
    }
  }
}
```

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