arpeio-mcp

arpeio-mcp

Unified MCP server for Arpe.io data tools enabling AI assistants to build, preview, and execute high-performance data commands including database export, transfer, pipeline, and migration.

Category
Visit Server

README


title: Arpeio MCP emoji: 🛠️ colorFrom: blue colorTo: indigo sdk: docker pinned: false

arpeio-mcp

<!-- mcp-name: io.github.arpe-io/arpeio-mcp -->

PyPI version License: MIT

Unified MCP server for Arpe.io data tools — build, preview, and execute high-performance data commands through AI assistants.

Tool Description
FastBCP High-performance parallel database export to files and cloud
FastTransfer High-performance parallel data transfer between databases
LakeXpress Automated database-to-cloud data pipeline as Parquet
MigratorXpress Cross-platform database migration with parallel transfer

No binaries required. All tools work in command builder mode out of the box — command building, preview, and informational tools work without any Arpe.io binary installed. To enable execution, download the binaries from arpe.io and set the corresponding *_PATH environment variables.

Connect your AI assistant

A hosted instance is available at https://arpe-io-arpeio-mcp.hf.space/sse — no installation required. For local installation with execution support, use the stdio transport via pip install arpeio-mcp.

ChatGPT | Claude Code | Claude Desktop | Cursor | Gemini CLI | HuggingChat | Kiro IDE | Le Chat (Mistral) | VS Code | Windsurf

ChatGPT

Available for paid plans only (Plus, Pro, Team, and Enterprise).

  1. Open ChatGPT in your browser, go to Settings > Apps and connectors.
  2. Open Advanced settings and enable Developer mode.
  3. Go to Connectors > Browse connectors > Add a new connector.
  4. Set the URL to https://arpe-io-arpeio-mcp.hf.space/sse and save.

Claude Code

claude mcp add --transport sse arpeio https://arpe-io-arpeio-mcp.hf.space/sse

Or for local installation with execution support:

pip install arpeio-mcp
claude mcp add arpeio arpeio-mcp

Claude Desktop

Add the following to your Claude Desktop configuration file:

  • Linux: ~/.config/Claude/claude_desktop_config.json
  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

Remote (no installation)

{
  "mcpServers": {
    "arpeio": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://arpe-io-arpeio-mcp.hf.space/sse"
      ]
    }
  }
}

Local (with execution support)

{
  "mcpServers": {
    "arpeio": {
      "command": "arpeio-mcp",
      "env": {
        "FASTBCP_PATH": "/path/to/FastBCP",
        "FASTTRANSFER_PATH": "/path/to/FastTransfer",
        "LAKEXPRESS_PATH": "/path/to/LakeXpress",
        "MIGRATORXPRESS_PATH": "/path/to/MigratorXpress"
      }
    }
  }
}

Cursor

  1. Open Cursor Settings and search for "MCP".
  2. Add a new MCP server with the following configuration:
{
  "mcpServers": {
    "arpeio": {
      "url": "https://arpe-io-arpeio-mcp.hf.space/sse"
    }
  }
}

Gemini CLI

Add the following to your ~/.gemini/settings.json file:

{
  "mcpServers": {
    "arpeio": {
      "uri": "https://arpe-io-arpeio-mcp.hf.space/sse"
    }
  }
}

HuggingChat

  1. In the chat interface, click the + icon, select MCP Servers, then Manage MCP Servers.
  2. Click Add Server.
  3. Set the Server Name to Arpe.io and the Server URL to https://arpe-io-arpeio-mcp.hf.space/sse.
  4. Click Add Server and verify the health check shows Connected.

Kiro IDE

Add the following to your Kiro MCP configuration file (.kiro/settings/mcp.json in your workspace):

{
  "mcpServers": {
    "arpeio": {
      "url": "https://arpe-io-arpeio-mcp.hf.space/sse"
    }
  }
}

Le Chat (Mistral)

Available on all plans, including free.

  1. Go to Intelligence > Connectors.
  2. Click Add connector > Custom MCP Connector.
  3. Set the name to Arpe.io and the URL to https://arpe-io-arpeio-mcp.hf.space/sse.
  4. Leave authentication disabled and click Create.

VS Code (GitHub Copilot)

Add the following to your VS Code MCP configuration. Run MCP: Open User Configuration from the Command Palette to open it.

  • Linux: ~/.config/Code/User/mcp.json
  • macOS: ~/Library/Application Support/Code/User/mcp.json
  • Windows: %APPDATA%\Code\User\mcp.json
{
  "servers": {
    "arpeio": {
      "url": "https://arpe-io-arpeio-mcp.hf.space/sse",
      "type": "sse"
    }
  }
}

Windsurf

Add the following to your Windsurf configuration file:

  • Linux: ~/.codeium/windsurf/mcp_config.json
  • macOS: ~/.codeium/windsurf/mcp_config.json
  • Windows: %USERPROFILE%\.codeium\windsurf\mcp_config.json
{
  "mcpServers": {
    "arpeio": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://arpe-io-arpeio-mcp.hf.space/sse"
      ]
    }
  }
}

Local Installation

For full execution support (not just command building), install locally:

pip install arpeio-mcp

Then configure your AI assistant to use the arpeio-mcp command (stdio transport) with optional binary paths — see the Claude Desktop local configuration for an example.

Environment Variables

Variable Description Required
FASTBCP_PATH Path to FastBCP binary No
FASTTRANSFER_PATH Path to FastTransfer binary No
LAKEXPRESS_PATH Path to LakeXpress binary No
MIGRATORXPRESS_PATH Path to MigratorXpress binary No
FASTBCP_DIR_PATH FastBCP directory for LakeXpress No
FASTTRANSFER_DIR_PATH FastTransfer directory for MigratorXpress No
*_TIMEOUT Per-tool execution timeout (seconds) No
*_LOG_DIR Per-tool log directory No
LOG_LEVEL Logging level (DEBUG/INFO/WARNING/ERROR) No

Available Tools (17)

Read-only advisory tools were consolidated into one *_info tool per product (with an action enum) and per-product release-notes tools were merged into a single arpe_release_notes. Auto-parallelism is now suggested inside preview so the typical workflow is 2 calls (previewexecute) instead of 4.

FastBCP (3 tools)

  • fastbcp_info — Read-only advisory: action="formats" | "parallelism" | "workflow" | "version"
  • fastbcp_preview_export — Validate parameters and render the command (auto-suggests parallelism when method is omitted)
  • fastbcp_execute_export — Run the export

FastTransfer (3 tools)

  • fasttransfer_info — Read-only advisory: action="combinations" | "parallelism" | "workflow" | "version"
  • fasttransfer_preview_transfer — Validate parameters and render the command (auto-suggests parallelism)
  • fasttransfer_execute_transfer — Run the transfer

LakeXpress (3 tools)

  • lakexpress_info — Read-only advisory: action="capabilities" | "workflow" | "version"
  • lakexpress_preview_command — Build any LakeXpress command (lxdb_*, config_*, sync, sync[export], sync[publish], run, status, cleanup). On v0.4.0+ binaries, warns when -a / --lxdb_auth_id / --sync_id are missing on sync-family calls
  • lakexpress_execute_command — Run the command

MigratorXpress (4 tools)

  • migratorxpress_info — Read-only advisory: action="capabilities" | "workflow" | "version"
  • migratorxpress_validate_auth_file — Validate the JSON auth file (only file-I/O advisory tool kept separate)
  • migratorxpress_preview_command — Build the migrate command. Accepts the new project tag (v0.6.30+); warns on migration_db_type="postgres" against pre-0.6.32 binaries
  • migratorxpress_execute_command — Run the migration

Meta (4 tools)

  • arpe_get_status — Status of all four CLIs (installed / command-builder-only)
  • arpe_quick_start — Detect the right tool from a plain-English use case and return a workflow guide
  • arpe_release_notes — Return release-notes chunks for any product (product="fastbcp" | "fasttransfer" | "lakexpress" | "migratorxpress", optional version)
  • search_docs — BM25 full-text search over arpe.io docs sites and blog

Prompts (5)

Conversation starters surfaced by clients that support MCP prompts (Claude Desktop, Cursor, etc.): export-table, transfer-data, lakehouse-pipeline, migrate-database, troubleshoot.

Resources (4)

Static capability matrices served as MCP resources so clients can prefetch them without a tool call: arpeio://capabilities/fastbcp-formats, fasttransfer-combinations, lakexpress-capabilities, migratorxpress-capabilities.

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured