# Arkiv MCP Server

> Use this tool when you need to efficiently query and retrieve specific data from Arkiv database chains. It solves problems related to data retrieval and filtering by allowing AI agents to use SQL-like filter expressions with pagination and customizable field selection. This enables targeted data extraction and processing, making it ideal for use cases requiring precise and flexible data querying.

Canonical page: https://skillsregistry.net/skills/arrivets-arkiv-mcp  
JSON: https://api.skillsregistry.net/v1/skills/arrivets-arkiv-mcp

## Description

Enables AI agents to query entities from Arkiv database chains using a SQL-like filter expression, with pagination and configurable fields.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jzb3yj4oxn)
- **Repository:** <https://github.com/arrivets/arkiv-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": "arrivets-arkiv-mcp"
    }
  }
}
```

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