PostHog MCP Server
Official PostHog MCP Server for product analytics, feature flags, experiments, and more.
Forecast product demand using historical sales and market signals.
Pick the AI app you use, then copy the settings.
Passed 5/5 checks · What you ask goes through the maker’s server (demand-forecaster-mcp.saifs.ai)
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude · about 2 min
No key, nothing to install · Set it up once on claude.ai or the desktop app, then use it in chat · free accounts can add 1 · on Team/Enterprise an Owner adds it
CustomizeConnectors
Copy each value into the field with the same name in Claude, then click Continue
Demand Forecastinghttps://demand-forecaster-mcp.saifs.ai/mcpLeave Authentication as Claude detected it, then click Add
+ConnectorsDemand Forecasting
Use Demand Forecasting and tell me what you can do for me, then show me one thing✓ If Claude says it is using Demand Forecasting or shows a Demand Forecasting tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with ChatGPT on business plans only
ChatGPT Business, Enterprise or Edu on the web, added by a workspace admin or owner · On Free, Plus or Pro: your ChatGPT plan cannot connect MCP yet
Plugins+Add custom MCP server
Enter a name, paste the address under Connection, tick the risk warning and click Create as a plugin
Demand Forecastinghttps://demand-forecaster-mcp.saifs.ai/mcpStart a new chat and pick Demand Forecasting from your plugins before typing
Use Demand Forecasting and tell me what you can do for me, then show me one thing✓ If ChatGPT says it is using Demand Forecasting or shows a Demand Forecasting tool in the answer, you are connected
Menu names checked against OpenAI’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Claude Code · about 2 min
No key, nothing to install
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --transport http --scope user demand-forecasting https://demand-forecaster-mcp.saifs.ai/mcpYou should see Demand Forecasting listed as connected
Use Demand Forecasting and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Demand Forecasting or shows a Demand Forecasting tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor · about 2 min
No key, nothing to install
Use Demand Forecasting and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Demand Forecasting or shows a Demand Forecasting tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code · about 2 min
No key, nothing to install
Use Demand Forecasting and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Demand Forecasting or shows a Demand Forecasting tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
Address for apps that connect over the web
https://demand-forecaster-mcp.saifs.ai/mcpJSON settings are under “For developers” below
Claude Code
claude mcp add --transport http --scope user demand-forecasting https://demand-forecaster-mcp.saifs.ai/mcpCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"demand-forecasting": {
"url": "https://demand-forecaster-mcp.saifs.ai/mcp"
}
}
}VS Code (mcp.json)
{
"servers": {
"demand-forecasting": {
"type": "http",
"url": "https://demand-forecaster-mcp.saifs.ai/mcp"
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Connect over the internet in
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
The server asks you to sign in before it lists its tools.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 12, 2026
The registry name was verified against the domain saifs.ai (the registry checks domain ownership)
Code last changed 14 days ago
Uses MIT
Responded in 147 ms (HTTP 401)
Declares OAuth sign-in, so your AI app can take you to log in
Not checked yet; we read the tool list when we check the endpoint
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
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No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 5 of 5 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed 14 days ago, and the latest version (1.0.1) reached the registry 22 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT Business and above.
In the same category: PostHog MCP Server, Openshorts, Google Ads + Meta Ads + SEO/GEO MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Official PostHog MCP Server for product analytics, feature flags, experiments, and more.
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Forecasts demand per product (and optionally per region or channel) from sales history — daily, weekly or monthly — with a range for every number. It picks the best-fitting model by backtest, handles slow and intermittent movers (Croston/SBA), refuses to guess when history is too short, and hands lead-time demand to the Inventory Intelligence & Optimizer server for safety stock. Reads Excel, Tally and CSV exports with their own column names.
| Registry name | ai.saifs/demand-forecasting |
| Endpoint | https://demand-forecaster-mcp.saifs.ai/mcp |
| Transport | Streamable HTTP (remote, nothing to install) |
| Auth | OAuth 2.1 — PKCE (S256) and dynamic client registration; your client opens a sign-in page on first use |
| Publisher | SAIFS AI |
Add to .vscode/mcp.json (workspace) or your user mcp.json:
{
"servers": { "saifs-demand-forecasting": { "type": "http", "url": "https://demand-forecaster-mcp.saifs.ai/mcp" } } }
Then start the server from the MCP view and sign in when prompted.
Settings → Connectors → Add custom connector, and paste:
https://demand-forecaster-mcp.saifs.ai/mcp
claude mcp add --transport http saifs-demand-forecasting https://demand-forecaster-mcp.saifs.ai/mcp
Point it at https://demand-forecaster-mcp.saifs.ai/mcp using the Streamable HTTP transport. The server returns 401 with a WWW-Authenticate: Bearer … resource_metadata=… challenge, so OAuth-aware clients sign in automatically.
| Tool | What it does |
|---|---|
demand_forecaster | Forecasts demand from sales rows (date + quantity is enough; SKU, region, channel and lead time optional) for up to about 200 products and 2,500 rows. Returns forecasts with prediction intervals, the chosen model and its backtest score, and lead-time demand for reordering. |
demand_forecaster_get_engine | For larger sales files: returns a runnable Python script that produces the same forecasts locally, so the data never leaves the user's machine. |