# Sekha MCP Server

> Use this tool when you need to manage persistent conversation memory across multiple applications, such as Claude Desktop and Claude Code. The Sekha MCP Server enables MCP-compatible clients to store, search, and update memory, solving problems of data consistency and continuity. It accepts inputs from clients and returns relevant memory data, ideal for use cases requiring seamless conversation flow and context retention.

Canonical page: https://skillsregistry.net/skills/sekha-ai-sekha-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sekha-ai-sekha-mcp

## Description

This MCP server exposes Sekha memory tools (store, search, update, etc.) to any MCP-compatible client, enabling persistent conversation memory across Claude Desktop, Claude Code, and other applications.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yske23k6s8)
- **Repository:** <https://github.com/sekha-ai/sekha-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": "sekha-ai-sekha-mcp"
    }
  }
}
```

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