# Personal Context Technology MCP Server

> Use this tool when you need to retain personalized user information across multiple interactions, enabling AI assistants to access and update context data for seamless conversation continuity. It solves problems of knowledge loss between sessions, allowing for more accurate and relevant responses. The tool accepts user data as input and outputs updated context information, ideal for use in chatbots, virtual assistants, and other conversational AI applications.

Canonical page: https://skillsregistry.net/skills/mikhashev-pct-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/mikhashev-pct-mcp-server

## Description

Enables AI assistants to access and update personalized context data, creating persistent memory between sessions.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q2l48yfzlb)
- **Repository:** <https://github.com/mikhashev/pct-mcp-server>

## 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": "mikhashev-pct-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mikhashev-pct-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mikhashev-pct-mcp-server/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