Elasticflow MCP Server

One workspace where your AI agents and your team work together.

Connect your AI assistant to Elasticflow and let it manage tables, write documents, upload files, and publish live dashboards — all within your team's shared workspace. Everything your agents produce is instantly available to the whole organization, not buried in a chat thread.

What you can do:

• Build and query structured data — sales pipelines, contract trackers, campaign analytics, inventory logs
• Create rich documents — reports, proposals, legal summaries, meeting notes
• Upload and organize files — contracts, NDAs, presentations, compliance docs
• Publish live dashboards and client portals — no code required
• Share results across your team — every action is visible, every output is reusable

Prerequisites

You need an Elasticflow account to use this MCP server. When you connect for the first time, your AI assistant will open a browser window where you can sign in or create an account.

Sign up for early access

Supported Platforms

AI Assistants

• ChatGPT (OpenAI)
• Claude Desktop / Claude Code / Claude.ai
• Google Gemini
• Microsoft Copilot Studio
• Amazon Q

AI-Powered Editors

• Cursor
• VS Code / GitHub Copilot
• Windsurf
• Zed

Productivity Tools

• Raycast
• Cline

Works with any client that supports the MCP Streamable HTTP transport.

Installation

Add the Elasticflow MCP server to your client configuration:

Claude Desktop

Go to Settings > Extensions, or add manually to config:

{
  "mcpServers": {
    "elasticflow": {
      "url": "https://mcp.elasticflow.app/mcp"
    }
  }
}

Claude Code

claude mcp add elasticflow --transport streamable-http https://mcp.elasticflow.app/mcp

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "elasticflow": {
      "url": "https://mcp.elasticflow.app/mcp",
      "transport": "streamable-http"
    }
  }
}

VS Code / GitHub Copilot

Add to .vscode/mcp.json:

{
  "servers": {
    "elasticflow": {
      "type": "streamable-http",
      "url": "https://mcp.elasticflow.app/mcp"
    }
  }
}

Authentication

Elasticflow uses OAuth 2.1 with PKCE. When you connect for the first time, your client will open a browser for authentication. No API keys or manual token configuration needed.

Scopes:

Scope	Description
workspaces:read	View your workspaces
workspaces:write	Create and modify workspaces
tables:read	View table data and schemas
tables:write	Create, modify, and delete table data
documents:read	Read your documents
documents:write	Create and edit documents
files:read	View and download files
files:write	Upload files
interfaces:read	View interface projects
interfaces:write	Build and publish interfaces

MCP Tools

Workspaces (4 tools)

Organize your team's projects, data, and files into separate workspaces.

Tool	Description
mcp_workspaces_list	See all workspaces your team has access to
mcp_workspaces_get	Get workspace details — members, settings, usage
mcp_workspaces_create	Set up a new workspace for a team, project, or department
mcp_workspaces_update	Rename, configure, or adjust workspace settings

Tables (15 tools)

Store and manage structured business data — CRM pipelines, inventories, project trackers, or any tabular data your team needs.

Tool	Description
mcp_tables_list_tables	Browse all tables in a workspace
mcp_tables_get_table	View table structure — columns, types, row count
mcp_tables_list_column_types	See available column types (text, number, date, select, etc.)
mcp_tables_create_table	Create a

... View full README on GitHub