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neurelo-mcp-gateway

Facilitate natural language interactions with backend ClickHouse and PostgreSQL data sources via the Neurelo Connect infrastructure, adhering to the Model Context Protocol (MCP).

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neurelo-mcp-gateway logo

neurelo-connect

MIT License

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Last Updated 2026-02-19

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neurelopostgresqldatabasesdatabases neureloneurelo connecttools neurelo

Neurelo Connect MCP Service Endpoint

NPM Package Version License Identifier CI Status Badge

This repository furnishes an MCP Server implementation tailored for interfacing with Neurelo Connect. The Model Context Protocol (MCP) establishes a standardized mechanism for orchestrating context exchange between sophisticated language models (LLMs) and external persistent data systems.

By deploying this server, users can leverage Claude Desktop, or any compatible MCP Client, to issue directives in plain English for database operations, such as:

  • "Enumerate the structural definition of my PostgreSQL instance"
  • "Ascertain the current count of registered users"
  • "Diagram the relational topology across my connected data stores"

Configuration for Claude

Manual Integration Steps

  1. Access the Claude Desktop configuration file at the following location:

  2. macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  3. Windows: %APPDATA%/Claude/claude_desktop_config.json

  4. Incorporate the subsequent configuration block:

{ "mcpServers": { "neurelo-connect": { "command": "npx", "args": ["@neurelo/connect-mcp@latest", "start"], "env": { "ENGINE_API_KEY": "YOUR_NEURELO_API_KEY", "ENGINE_BASE_PATH": "YOUR_NEURELO_SERVICE_ROOT" } } } }

Prerequisites

  • Node.js environment (version 18.0.0 or newer)
  • The Claude Desktop application
  • An active Neurelo Connect service instance
  • Valid API credentials obtained from the Neurelo Connect management console.

Functionality Catalog

Operational Tools

  • system_list_databases: Retrieves a catalogue of all accessible data targets.
  • system_get_database_status: Verifies the operational readiness of all designated database targets.
  • system_get_database_schema:
    • Fetches the structural blueprint for a specified data target.
    • Input Parameter:
      • target (string): Identifier for the target database.
  • raw_readonly_query:
    • Executes SQL commands restricted to read-only operations on the data store.
    • Input Parameters:
      • target (string): The designated database identifier.
      • query (string): The specific SQL statement intended for execution.
  • raw_query:
    • Executes general SQL commands, permitting both reading and data modification.
    • Input Parameters:
      • target (string): The designated database identifier.
      • query (string): The SQL statement to be processed.
  • Dynamic Endpoint Tools: Additional capabilities are instantiated dynamically based on metadata retrieved from the Neurelo endpoint.

Customization Parameters

  • --disable-tools <tool_list>: A comma-separated enumeration of tool identifiers to be suppressed from availability. For example, specifying --disable-tools raw_query,system_list_databases deactivates the data modification and database listing utilities. This parameter can also target user-defined query tools.

Development Workflow

Utilizing the MCP Inspector for Development

Initiate the server in a development context using the built-in MCP inspector utility:

bash npm run inspect

Development using Claude Desktop Integration

First, establish required dependencies:

npm install

Next, revise your Claude Desktop configuration file to incorporate the development launch sequence:

{ "mcpServers": { "neurelo-connect": { "command": "npx", "args": ["tsx", "REPOSITORY_ROOT/src/main.ts", "start"], "cwd": "REPOSITORY_ROOT", "env": { "ENGINE_API_KEY": "YOUR_ENGINE_API_KEY", "ENGINE_BASE_PATH": "YOUR_ENGINE_BASE_PATH" } } } }

Crucially, relaunch Claude every instance where you wish to validate code modifications.

Collaboration

We highly encourage community involvement! Feel free to contribute by submitting a Pull Request.

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See Also

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