Instadash

Created By
Raihan Razi2 months ago
Instadash is the hosted data surface for AI agents. The MCP server lets any MCP-capable client (Claude Desktop, Cursor, Windsurf, LangGraph, CrewAI, PydanticAI) publish rows, read row slices, inspect schemas, list versions, search public grids, write individual cells, copy/delete grids, roll back versions, export to CSV/JSON, and pull usage stats — no database or frontend code. Tools exposed: • instadash_push, instadash_read, instadash_list, instadash_get_schema, instadash_list_versions, instadash_edits, instadash_copy, instadash_delete, instadash_update, instadash_write_cell, instadash_rollback, instadash_export, instadash_stats, instadash_usage, instadash_embed_snippet, instamesh_search The killer pattern is human-in-the-loop: 1. Agent scrapes 100 leads → publishes to Instadash 2. Human filters/edits in the browser 3. Agent reads the approved subset back via MCP 4. Agent only acts on rows the human signed off Pricing: - Free — 3 grids, 1k rows/grid, 7-day version history - Builder $19/mo — unlimited grids, 100k rows/grid, API endpoints - Agent $79/mo — 5M rows/grid, hosted MCP, webhooks, scheduled refresh - Platform custom — BYO Cloudflare, SSO+audit logs, on-prem Worker, SLA Built on Cloudflare.

Server Config

{
  "mcpServers": {
    "instadash": {
      "url": "https://mcp.instadash.io/mcp"
    }
  }
}
Project Info
Created At
2 months ago
Updated At
2 months ago
Author Name
Raihan Razi
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