# MCPedia

> MCPedia — pouriya-mcpedia. Use this tool when you need to provide persistent memory for AI coding agents, enabling them to recall and build upon previous interactions and code snippets. MCPedia solves the problem of ephemeral memory in AI agents, allowing for more efficient and accurate coding assistance. It accepts code inputs and outputs stored knowledge, accessible via the MCP interface, ideal for use cases involving iterative coding tasks and collaborative development with git integration.

Canonical page: https://skillsregistry.net/skills/pouriya-mcpedia  
JSON: https://api.skillsregistry.net/v1/skills/pouriya-mcpedia

## Description

Persistent memory for AI coding agents (Cursor, Claude, Codex & others), served over MCP.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** BSD-3-Clause
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/pouriya/MCPedia)

## 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": "pouriya-mcpedia"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pouriya-mcpedia` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pouriya-mcpedia/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