Instadash

io.instadashPublished by instadash.ioOfficial publisherv0.1.0Updated Oct 24, 2026

Live data grids for AI agents. Push structured data; humans review, agents read back via MCP.

VerifiedStreamable HTTPWeb executableProductivity & WorkflowData & Analytics

Overview

AI-generated overview

Lets an assistant read back structured data from live Instadash data grids that humans review and maintain.

What you can do
Instadash provides live data grids for AI agents. Structured data is pushed into the grids, where humans review it, and agents read it back through MCP. The manifest lists no individual tools, so the exact read and write operations are not documented here.
When to use it
Use it when a workflow needs agents to consume structured data that people curate or approve in a shared grid, such as reviewed records, status tables, or curated lists. It is less suited to raw database queries or bulk data processing, since the description centers on human-reviewed grids.
Requirements
A remote MCP endpoint at over streamable HTTP. OAuth authentication is required; no environment variables or headers are declared. An Instadash account and network access to the endpoint are needed.
Before you install
Authentication is OAuth and required, so the assistant acts under your account's granted scopes; review what access you approve. The description says humans review data while agents read it back, so treat anything pushed into a grid as visible to those reviewers. No tool list, permissions detail, or data-retention policy is provided, so verify how your data is stored and shared before pushing sensitive content.

Installation

In SourceWeft

  1. Open Instadash in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.instadash%2Fserver/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "instadash": {
      "type": "http",
      "url": "https://mcp.instadash.io/"
    }
  }
}

README

This repository has no README.

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

1
  1. v0.1.0LatestSep 16, 2026

Score

60% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • License10 pts

    Declare a license in the repository or the registry entry.