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servidor DGRAPH-MCP
Una implementación del servidor de protocolo de contexto del modelo (MCP) para la base de datos de gráficos DGRAPH, creada utilizando la biblioteca [MCP-GO] (https://github.com/mark3labs/mcp-go).
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Dgraph MCP Server
A Model Context Protocol (MCP) server implementation for Dgraph graph database, built using the mcp-go library.
Overview
This project implements an MCP server that allows LLM applications to interact with a Dgraph database. It provides tools for:
- Executing DQL queries
- Performing mutations
- Altering the schema
- Retrieving the current schema
Prerequisites
- Go 1.18 or higher
- Dgraph database (running locally or remotely)
Installation
- Clone this repository
- Install dependencies:
go mod download
Configuration
The server can be configured using environment variables:
-
DGRAPH_HOST
: Dgraph host address (default:localhost:9080
)
Usage
Running the Server
go run main.go
The server uses standard input/output for communication with LLM applications.
Available Tools
1. dgraph_query
Execute a DQL query against Dgraph.
Parameters:
-
query
(string, required): The DQL query to execute -
variables
(object, optional): Variables for the query
Example:
{
"tool": "dgraph_query",
"params": {
"query": "{ me(func: has(name)) { name } }"
}
}
2. dgraph_mutate
Execute a mutation against Dgraph.
Parameters:
-
mutation
(string, required): The RDF mutation to execute -
commit
(boolean, optional): Whether to commit the transaction (default: true)
Example:
{
"tool": "dgraph_mutate",
"params": {
"mutation": "_:person <name> \"John Doe\" .",
"commit": true
}
}
3. dgraph_alter_schema
Alter the Dgraph schema.
Parameters:
-
schema
(string, required): The schema definition to apply
Example:
{
"tool": "dgraph_alter_schema",
"params": {
"schema": "name: string @index(exact) ."
}
}
Available Resources
1. dgraph://schema
Returns the current Dgraph schema.
Integration with LLM Applications
This server can be integrated with any LLM application that supports the Model Context Protocol (MCP). The server communicates via standard input/output, making it easy to integrate with various LLM frameworks.
Example Queries
Basic Query
{
people(func: has(name)) {
name
age
friends {
name
}
}
}
Adding Data
_:alice <name> "Alice" .
_:alice <age> "30" .
_:bob <name> "Bob" .
_:bob <age> "32" .
_:alice <friend> _:bob .
Schema Definition
name: string @index(exact) .
age: int .
friend: [uid] .
License
MIT
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Reviews

user_vdW7yeJy
"Learning about MCP by Wojciech Matuszewski is an outstanding resource for anyone looking to understand the MCP applications better. The content is clear, concise, and exceptionally well-organized, making it accessible for both beginners and advanced users. Highly recommend diving into this material to enhance your MCP expertise! Check it out at https://mcp.so/server/mcp-server-learning/WojciechMatuszewski."