# MCP Server

> Use this tool when you need to integrate AI assistants with external services or archive conversations. The MCP Server enables standardized interactions through JSON-RPC, providing basic operations and conversation management capabilities. It is ideal for use cases requiring seamless communication between AI systems and external services, such as customer support or data retrieval applications.

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

## Description

A remote Model Context Protocol server that enables AI assistants to interact with external services through standardized JSON-RPC, providing tools for basic operations and conversation archiving.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

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

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