One workspace where your AI agents and your team work together.
Elasticflow MCP MCP server is a hosted integration for AI assistants that speak the Model Context Protocol. One workspace where your AI agents and your team work together.
Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
Once Elasticflow MCP is connected, these are the calls the assistant has available:
mcp_workspaces_list — See all workspaces your team has access tomcp_workspaces_get — Get workspace details — members, settings, usagemcp_workspaces_create — Set up a new workspace for a team, project, or departmentmcp_workspaces_update — Rename, configure, or adjust workspace settingsmcp_tables_list_tables — Browse all tables in a workspacemcp_tables_get_table — View table structure — columns, types, row countmcp_tables_list_column_types — See available column types (text, number, date, select, etc.)mcp_tables_create_table — Create a new table for tracking leads, orders, tasks, or anything elsemcp_tables_update_table — Rename a table or change its settingsmcp_tables_delete_table — Remove a table you no longer needmcp_tables_create_column — Add a new field — e.g. "Deal Size", "Due Date", "Status"mcp_tables_update_column — Change a column's name, type, or optionsYou 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
Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Elasticflow MCP's toolset — mcp_workspaces_list, mcp_workspaces_get, mcp_workspaces_create and 11 more — is a fair guide to whether it matches your workflow. It is maintained by elasticflowapp; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| 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 |
| 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 new table for tracking leads, orders, tasks, or anything else |
| mcp_tables_update_table | Rename a table or change its settings |
| mcp_tables_delete_table | Remove a table you no longer need |
| mcp_tables_create_column | Add a new field — e.g. "Deal Size", "Due Date", "Status" |
| mcp_tables_update_column | Change a column's name, type, or options |
| mcp_tables_delete_column | Remove a column from the table |
| mcp_tables_get_rows | Query your data with filters — find overdue tasks, high-value deals, etc. |
{
"mcpServers": {
"elasticflow": {
"url": "https://mcp.elasticflow.app/mcp"
}
}
}Configuration as documented by the project. Restart the client after saving.
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
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