Arkiv MCP Server
Servidor MCP de Arkiv
Un servidor de Model Context Protocol (MCP) que expone las capacidades de consulta de la cadena de bases de datos de Arkiv a agentes y aplicaciones de IA.
Inicio rápido
1. Compilar
cd arkiv-mcp
npm install
npm run build2. Añadir a Claude Code
Ejecuta esto desde el directorio arkiv-mcp:
claude mcp add arkiv -- node $(pwd)/dist/index.jsO añádelo manualmente a ~/.claude/settings.json:
{
"mcpServers": {
"arkiv": {
"command": "node",
"args": ["/absolute/path/to/arkiv-mcp/dist/index.js"]
}
}
}Para Claude Desktop, añade el mismo bloque a ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) o %APPDATA%\Claude\claude_desktop_config.json (Windows).
3. Consultar la red de pruebas (testnet) de Kaolin
Una vez conectado, la herramienta query_entities estará disponible. Ejemplos de prompts:
"Query all entities on Arkiv"
"Find all Arkiv entities where
type = "post"andscore > 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
Características
Consulta entidades de las cadenas de bases de datos de Arkiv usando una expresión de filtro similar a SQL
Sintaxis completa de
arkiv_query: comparaciones, operadores lógicos, coincidencia de glob, atributos sintéticosSoporte de paginación con cursor
Campos de retorno configurables (atributos, metadatos, carga útil)
Predeterminado a la red de pruebas de Kaolin
Instalación
cd arkiv-mcp
npm install
npm run build
# Or use tsx for development
npm run devUso
Iniciar el servidor
# 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.rpcVariables de entorno
Variable | Descripción | Requerido |
| URL RPC del nodo de Arkiv | No (predeterminado a la red de pruebas de Kaolin) |
Opciones de línea de comandos
Opción | Descripción | Predeterminado |
| URL RPC del nodo de Arkiv | Red de pruebas de Kaolin |
| Mostrar ayuda | - |
Herramienta MCP
query_entities
Consulta entidades de una cadena de base de datos de Arkiv.
Parámetros
Parámetro | Tipo | Descripción | Predeterminado |
| string | Expresión de filtro (ver sintaxis abajo) |
|
| number | Número máximo de entidades a devolver (máx 200) | - |
| string | Cursor de paginación de una respuesta anterior | - |
| boolean | Incluir atributos en los resultados | true |
| boolean | Incluir metadatos (propietario, creador, caducidad) en los resultados | true |
| boolean | Incluir carga útil en los resultados (codificada en base64) | true |
| number | Consultar el estado en un número de bloque específico | - |
Sintaxis de filtro
El parámetro filter utiliza el lenguaje de expresión arkiv_query:
Operador | Descripción | Ejemplo |
| Igualdad |
|
| No igual |
|
| Rango numérico |
|
| AND lógico |
|
| OR lógico |
|
| Negación |
|
| Coincidencia de glob |
|
| Glob negado |
|
Atributos sintéticos (prefijados con $) :
Atributo | Descripción |
| Coincidir con todas las entidades |
| Dirección del propietario actual |
| Dirección del creador original (inmutable) |
| Clave de la entidad |
Ejemplos de filtros
# 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")Formato de respuesta
{
"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
}Pagina pasando el cursor devuelto como el parámetro cursor en la siguiente llamada. Cuando el cursor está ausente, no hay más resultados.
Desarrollo
El servidor utiliza:
@arkiv-network/sdk — SDK de TypeScript de Arkiv
@modelcontextprotocol/sdk — SDK del servidor MCP
Estructura del proyecto
arkiv-mcp/
├── src/
│ └── index.ts # Main server implementation
├── package.json
├── tsconfig.json
└── README.mdLicencia
MIT
Available Tools
1 toolquery_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"', '$owner = "0x1234..."', 'name ~ "test*"'
| Name | Required | Description | Default |
|---|---|---|---|
| filter | No | Filter expression. Defaults to "$all" if omitted. Examples: 'status = "active"', 'score > 100 && type = "post"', '$owner = "0xAbc..."', '$creator = "0xDef..."', 'name ~ "prefix*"' | |
| limit | No | Maximum number of entities to return (max 200) | |
| cursor | No | Pagination cursor returned by a previous query | |
| withAttributes | No | Include attributes in results (default: true) | |
| withMetadata | No | Include metadata (owner, creator, expiry) in results (default: true) | |
| withPayload | No | Include payload in results as base64 (default: true) | |
| validAtBlock | No | Query state at a specific block number |
TDQS
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.
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.
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.
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.
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.
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 tool update
v1.0.0- First observed
query_entities
TDQS
Scored across 1 tool
Only one tool exists, so there is no risk of confusion between tools. Perfect disambiguation.
With a single tool, there are no naming inconsistencies. The name 'query_entities' follows a clear verb_noun pattern.
A single tool is insufficient for a database server; even if it's query-only, missing CRUD operations severely limits functionality. Extreme mismatch.
The server only offers query functionality, omitting essential operations like create, update, or delete. Significant gaps for typical database interaction.
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