ChatGrid - ChatGrid API

One sentence: ChatGrid is where your team’s project knowledge lives — YouTube videos, PDFs, docs, decisions — on a visual board that AI can search and answer from.

Get started in your IDE

Pick your tool. The MCP server command is the same; the config file and secret syntax are IDE-specific.

Claude Code

Project .mcp.json plus one-time approval

Cursor

Project or global mcp.json

Windsurf

Cascade MCP config in Windsurf settings

npx -y chatgrid-mcp

See MCP Setup for copy-paste configs for Claude Code, Cursor, and Windsurf. Then talk to your AI naturally:

> Create a ChatGrid board for the payments project
> Add this YouTube tutorial to the board: https://youtube.com/watch?v=...
> Upload this PDF to the board: /path/to/architecture.pdf
> Search the board for webhook verification
> What does our architecture doc say about rate limiting?

What can you add to a board?

Everything your team needs to remember. The API creates source nodes and vectorizes text you provide; ChatGrid MCP gives your IDE tools for creating boards, adding source nodes, uploading files, and vectorizing pasted text.

Content type	What happens	Example
YouTube videos	Stored as source nodes; vectorize transcripts when available	`Add this video: https://youtube.com/watch?v=abc`
Websites / URLs	Stored as source nodes; vectorize extracted page text via API	`Add this blog post: https://vercel.com/blog/...`
PDFs	Uploaded to storage; process document jobs can track extraction	`Upload this PDF: /path/to/spec.pdf`
Images	Uploaded to storage, displayed on canvas	`Upload this diagram: /path/to/arch.png`
Text / Notes	Displayed as sticky notes, vectorized for search	`Add a note: "We decided to use Stripe webhooks"`

Vectorized text becomes searchable so AI can answer from your sources.

How it works

Create a board

One board per project. Takes 5 seconds.

Add knowledge

YouTube videos, PDFs, blog posts, architecture docs, decisions. Drop them in via MCP, then vectorize the text you want AI to search.

AI answers from your sources

Ask questions. Get answers grounded in your actual content. Not hallucinated.

Why ChatGrid?

Your team’s knowledge dies in Slack threads and wikis nobody updates. Memory tools like claude-mem remember what one dev did. ChatGrid remembers what the whole team knows.

	claude-mem	Slack	Wiki	ChatGrid
Who benefits	One dev	Team, temporarily	Team, theoretically	Team, permanently
External knowledge	No	Links that die	Manual pages	Source nodes plus vectorized content
AI can search it	No	No	No	Yes
Visual	No	No	No	Spatial canvas

Quick start (API)

# 1. Create a board
curl -X POST https://api.chatgrid.ai/v1/boards \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"name": "My Project"}'

# 2. Add a YouTube source node
curl -X POST https://api.chatgrid.ai/v1/boards/{boardId}/nodes \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"type": "youtube", "position": {"x": 0, "y": 0}, "data": {"url": "https://youtube.com/watch?v=abc", "label": "My Tutorial"}}'

# 3. Add a website source node
curl -X POST https://api.chatgrid.ai/v1/boards/{boardId}/nodes \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"type": "url", "position": {"x": 400, "y": 0}, "data": {"url": "https://example.com/blog", "label": "Blog Post"}}'

# 4. Vectorize extracted text
curl -X POST https://api.chatgrid.ai/v1/boards/{boardId}/documents/vectorize \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"content": "Key notes from the tutorial and blog post...", "metadata": {"source": "quickstart"}}'

# 5. Upload a PDF
curl -X POST https://api.chatgrid.ai/v1/boards/{boardId}/assets \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "file=@/path/to/document.pdf"

# 6. Search vectorized content
curl -X POST https://api.chatgrid.ai/v1/boards/{boardId}/documents/search \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "how does this work?"}'

Next steps

MCP Setup (2 min)

Add ChatGrid to your IDE

Use Cases

Onboarding, shared knowledge, learning

Quickstart

Build your first project board

API Reference

Full endpoint documentation

​Get started in your IDE

Claude Code

Cursor

Windsurf

​What can you add to a board?

​How it works

​Why ChatGrid?

​Quick start (API)

​Next steps

MCP Setup (2 min)

Use Cases

Quickstart

API Reference

Get started in your IDE

What can you add to a board?

How it works

Why ChatGrid?

Quick start (API)

Next steps