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Arkiv MCP Server

by arrivets

Arkiv MCPサーバー

Model Context Protocol (MCP)サーバーであり、AIエージェントやアプリケーションに対してArkivデータベースチェーンのクエリ機能を提供します。

クイックスタート

1. ビルド

cd arkiv-mcp
npm install
npm run build

2. Claude Codeへの追加

arkiv-mcpディレクトリから以下を実行します:

claude mcp add arkiv -- node $(pwd)/dist/index.js

または、~/.claude/settings.jsonに手動で追加します:

{
  "mcpServers": {
    "arkiv": {
      "command": "node",
      "args": ["/absolute/path/to/arkiv-mcp/dist/index.js"]
    }
  }
}

Claude Desktopの場合は、同じブロックを~/Library/Application Support/Claude/claude_desktop_config.json(macOS)または%APPDATA%\Claude\claude_desktop_config.json(Windows)に追加してください。

3. Kaolinテストネットへのクエリ

接続が完了すると、query_entitiesツールが利用可能になります。プロンプトの例:

  • "Query all entities on Arkiv"

  • "Find all Arkiv entities where type = "post" and score > 10"

  • "Show me entities owned by 0x1234... on the Arkiv testnet"

  • "Get the first 5 entities matching status = "active", then paginate"


Related MCP server: TextQL MCP Server

機能

  • SQLライクなフィルタ式を使用したArkivデータベースチェーンからのエンティティクエリ

  • 完全なarkiv_query構文:比較、論理演算子、グロブマッチング、合成属性

  • カーソルによるページネーションサポート

  • 設定可能な戻り値フィールド(属性、メタデータ、ペイロード)

  • デフォルトでKaolinテストネットを使用

インストール

cd arkiv-mcp
npm install
npm run build

# Or use tsx for development
npm run dev

使用方法

サーバーの起動

# Using default Kaolin testnet
npm start

# With custom node URL
npm start -- --node-url https://your-arkiv-node.rpc

# Or with tsx for development
npm run dev -- --node-url https://your-arkiv-node.rpc

環境変数

変数

説明

必須

ARKIV_NODE_URL

ArkivノードのRPC URL

いいえ(デフォルトはKaolinテストネット)

コマンドラインオプション

オプション

説明

デフォルト

--node-url <url>

ArkivノードのRPC URL

Kaolinテストネット

--help, -h

ヘルプを表示

-

MCPツール

query_entities

Arkivデータベースチェーンからエンティティをクエリします。

パラメータ

パラメータ

型

説明

デフォルト

filter

string

フィルタ式(以下の構文を参照)

$all

limit

number

返されるエンティティの最大数(最大200)

-

cursor

string

前回のレスポンスからのページネーションカーソル

-

withAttributes

boolean

結果に属性を含める

true

withMetadata

boolean

結果にメタデータ(所有者、作成者、有効期限)を含める

true

withPayload

boolean

結果にペイロード(base64エンコード)を含める

true

validAtBlock

number

特定のブロック番号時点の状態をクエリ

-

フィルタ構文

filterパラメータはarkiv_query式言語を使用します:

演算子

説明

例

=

等価

status = "active"

!=

非等価

status != "deleted"

>, >=, <, <=

数値範囲

score > 100

&&

論理AND

type = "post" && score > 50

||

論理OR

status = "active" || status = "pending"

!

否定

!(status = "deleted")

~

グロブマッチ

name ~ "test*"

!~

否定グロブ

name !~ "draft*"

合成属性($で始まるもの):

属性

説明

$all

すべてのエンティティに一致

$owner

現在の所有者アドレス

$creator

元の作成者アドレス(不変)

$key

エンティティキー

フィルタの例

# All entities
$all

# By entity key
$key = "0xabc123..."

# By owner or creator
$owner = "0x1234567890abcdef..."
$creator = "0x1234567890abcdef..."

# Attribute equality
status = "active"
type = "post"

# Numeric range
score > 100
price >= 50 && price <= 200

# Compound
project = "myapp" && type = "post" && score > 10

# Glob matching
name ~ "draft*"
!(status = "deleted")

レスポンス形式

{
  "entities": [
    {
      "key": "0x...",
      "owner": "0x...",
      "creator": "0x...",
      "createdAtBlock": "12345",
      "lastModifiedAtBlock": "12350",
      "expiresAtBlock": "99999",
      "contentType": "application/json",
      "payload": "<base64-encoded bytes>",
      "attributes": [
        { "key": "type", "value": "post" },
        { "key": "score", "value": 42 }
      ]
    }
  ],
  "cursor": "0x2a",
  "blockNumber": "12350",
  "count": 1
}

ページネーションを行うには、返されたcursorを次の呼び出しのcursorパラメータとして渡します。cursorが存在しない場合、それ以上の結果はありません。

開発

このサーバーは以下を使用しています:

プロジェクト構造

arkiv-mcp/
├── src/
│   └── index.ts          # Main server implementation
├── package.json
├── tsconfig.json
└── README.md

ライセンス

MIT

Available Tools

1 tool
query_entitiesA

Query entities from an Arkiv database chain using a filter expression. The filter uses a SQL-like syntax: comparisons (=, !=, <, >, <=, >=), logical operators (&& and ||), negation (!), and glob matching (~). Special attributes: $all (match everything), $owner (current owner address), $creator (original creator address, immutable), $key (entity key). Examples: '$all', 'status = "active"', 'score > 100', 'project = "myapp" && status = "active"', '$owner = "0x1234..."', 'name ~ "test*"'

ParametersJSON Schema
NameRequiredDescriptionDefault
filterNoFilter expression. Defaults to "$all" if omitted. Examples: 'status = "active"', 'score > 100 && type = "post"', '$owner = "0xAbc..."', '$creator = "0xDef..."', 'name ~ "prefix*"'
limitNoMaximum number of entities to return (max 200)
cursorNoPagination cursor returned by a previous query
withAttributesNoInclude attributes in results (default: true)
withMetadataNoInclude metadata (owner, creator, expiry) in results (default: true)
withPayloadNoInclude payload in results as base64 (default: true)
validAtBlockNoQuery state at a specific block number

TDQS

A4.2/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It explains the filter syntax and special attributes but does not disclose performance implications, rate limits, or confirm that it is read-only. Schema covers some aspects (e.g., limit), but behavioral context is lacking.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, well-structured paragraph that front-loads the core purpose, then details the filter syntax, special attributes, and examples. Every sentence adds value without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description does not explain return values explicitly, but the tool name and parameters imply entities with requested fields. Pagination cursor is mentioned in schema but not explained in description. Overall, it is fairly complete for a query tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3. The description adds meaningful context for the 'filter' parameter by detailing the syntax and special attributes ($all, $owner, etc.), which goes beyond the schema. Other parameters are not enhanced, but the main parameter benefits significantly.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states that the tool queries entities from an Arkiv database chain using a filter expression, with specific SQL-like syntax and special attributes. It is a specific verb-resource pair, and there are no sibling tools to distinguish against.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides examples and syntax details that imply when to use the tool, but does not explicitly state when not to use or mention alternatives. Since there are no sibling tools, the lack of exclusion is less critical.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool updatev1.0.0
    • First observedquery_entities

TDQS

A3.9/5.0

Scored across 1 tool

Disambiguation5/5

Only one tool exists, so there is no risk of confusion between tools. Perfect disambiguation.

Naming Consistency5/5

With a single tool, there are no naming inconsistencies. The name 'query_entities' follows a clear verb_noun pattern.

Tool Count1/5

A single tool is insufficient for a database server; even if it's query-only, missing CRUD operations severely limits functionality. Extreme mismatch.

Completeness2/5

The server only offers query functionality, omitting essential operations like create, update, or delete. Significant gaps for typical database interaction.

Maintenance

ActivityInactive
ResponsivenessNo issues

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