TickerDB

Name: TickerDB
Author: tickerdb

by tickerdbversion 1.8.6i★ –iComputer or cloud

Registry namecom.tickerdb/mcp-server

Install

Overview

Description from the maker (original English)

Pre-computed market data that improves agent reasoning, reduces token usage, and replaces pipelines.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Computer or cloud
Transport: stdio, Streamable HTTP
Category: Other
You need to fill in: TICKERDB_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
You fill in yourself: TICKERDB_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

Runs in the cloudNothing to install; it connects over the internet
npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://mcp.tickerdb.com/mcp

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "tickerdb": {
      "command": "npx",
      "args": [
        "-y",
        "tickerdb-mcp"
      ],
      "env": {
        "TICKERDB_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http tickerdb https://mcp.tickerdb.com/mcp

Or run it on your computer

claude mcp add tickerdb --env TICKERDB_KEY=your-value -- npx -y tickerdb-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "tickerdb": {
      "url": "https://mcp.tickerdb.com/mcp"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "tickerdb": {
      "command": "npx",
      "args": [
        "-y",
        "tickerdb-mcp"
      ],
      "env": {
        "TICKERDB_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "tickerdb": {
      "type": "http",
      "url": "https://mcp.tickerdb.com/mcp"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "tickerdb": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "tickerdb-mcp"
      ],
      "env": {
        "TICKERDB_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://mcp.tickerdb.com/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

TICKERDB_KEY secret required env
Your TickerDB API key (get one at tickerdb.com/dashboard)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

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 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain tickerdb.com (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

More stars than 0% of the other 32435 servers in this category
Published to the registry more recently than 16% of the other 32435 servers in this category
Basic checks equal to or better than 100% of the other 32435 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is TickerDB safe?

It passed 1 of 1 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.

What keys or codes does it need?

You need to fill in: TICKERDB_KEY

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.8.6) reached the registry 4 months ago.

Which apps can use it?

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 in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Apify MCP Server

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

TickerDB — Stock market data for agents.

Pre-computed stock market data for AI agents. TickerDB returns indicators like trend_direction, support_level, and analyst_consensus as named states — plus what *changed* and what *usually happens next*.

10,000+ US stocks, ETFs, and crypto pairs · 182 indicators across trend, momentum, volatility, volume, patterns, support/resistance, fundamentals, and sector context · 7 years of history · tickerdb.com

Tools

Tool	Description
`get_summary`	Technical + fundamental snapshot for a ticker. Historical lookups, state transition history, and what usually happens after
`get_ohlcv`	Daily or weekly EOD candles for returns, charts, and backtests
`get_search`	Screen assets by categorical state or rank by fields like `market_cap` or `pe_ratio`
`get_schema`	Discover every field (ticker level and market level) and its valid band values
`get_market`	Market and macro regime bands (market_, macro_): latest, history, regime changes; combine with `get_search` to screen tickers under a regime
`get_changes`	What changed on the newest date for up to 50 tickers — day-over-day or week-over-week
`get_universe`	Selected fields for every asset on one date, in one call (trading-model input)
`get_insiders`	Find insiders (CEOs, directors, 10% owners, funds) by name, ticker or role
`get_insider_trades`	One insider's disclosed trades by disclosure time (copy/inverse insider models)
`get_funds`	Find ETFs and mutual funds that file SEC N-PORT holdings, by name or ticker
`get_fund_holdings`	A fund's full portfolio as public on a date (point in time by filing date)
`get_fund_holders`	Which funds held a stock on a date, plus its tracked index memberships
`get_indexes`	Tracked indexes (S&P 500/400/600/100, Nasdaq-100, Russell 1000/2000) and their source funds
`get_index_members`	An index's members on a date (point in time; also `member_of` in get_universe/get_search)
`get_status`	When data was last released (daily/weekly, preliminary or final): poll this, not ticker tools
`get_account`	Account details, plan tier, and usage

All tools are available on every tier (Free, Plus, Pro). Tiers differ by credit limits, history depth, and number of filters. See tickerdb.com/pricing.

Quick start

Connect TickerDB to Claude, ChatGPT, or another MCP client (see Setup below), then try:

"Show me oversold large-cap stocks near support"

The agent calls get_search with filters for momentum_rsi_zone = oversold and market_cap_tier in [large, mega], then follows up with get_summary on individual results. No raw number crunching — the agent reads categorical states and reasons over them directly.

"What usually happens when AAPL goes oversold?"

get_summary with field=momentum_rsi_zone, band=oversold, stats=true returns aggregate aftermath distributions: how the stock performed 5, 10, 20, 50, and 100 days after each oversold entry over 7 years of history.

"What changed for AAPL, MSFT and NVDA today?"

get_changes returns only the field-level state transitions of the newest date — band entries, exits, and shifts — so the agent reports what moved without pulling full summaries for every ticker.

Why not just pass raw OHLCV?

A model can compute RSI from raw bars. But ask "Does AAPL look bullish?" with raw OHLCV and it burns its context on arithmetic — computing indicators one by one — instead of doing what you actually asked: noticing that RSI just hit oversold while institutions are accumulating, that the pullback is sharp but the 200-day uptrend is intact, that insiders have been selling all quarter. That's the analysis. Raw bars bury it under computation.

With TickerDB, the model sees "oversold", "accumulation", "strong_uptrend" and connects them immediately.

State transitions go further. "What happened the last time BTC was this oversold?" means computing RSI across 7 years of daily bars, finding every oversold entry, and calculating what happened after each one. With TickerDB it's one call: get_summary with field=momentum_rsi_zone, band=oversold, stats=true.

Setup

Hosted server (recommended)

The remote server at https://mcp.tickerdb.com/mcp supports OAuth 2.1 and Bearer token auth. Use Streamable HTTP transport (not legacy SSE).

Client	How
Claude.ai	Settings → Connectors → Add → `https://mcp.tickerdb.com/mcp` → Authorize
Claude Code	`claude mcp add --transport http --scope user tickerdb https://mcp.tickerdb.com/mcp`
ChatGPT	Plugins → + → `https://mcp.tickerdb.com/mcp` → Create → Authorize
Cursor	`.cursor/mcp.json` → `{"tickerdb": {"url": "https://mcp.tickerdb.com/mcp"}}`
Any MCP client	Streamable HTTP to `https://mcp.tickerdb.com/mcp` with `Authorization: Bearer tdb_...`

npm package (local stdio)

For clients that prefer a local process (Claude Desktop, etc.):

"mcpServers": { "tickerdb": { "command": "npx", "args": ["tickerdb-mcp"], "env": { "TICKERDB_KEY": "tdb_your_api_key_here" } } } }

Get an API key at tickerdb.com/dashboard.

Structure

Three-package monorepo:

`shared/` — Tool definitions, API client, and server factory (internal)
`remote/` — Cloudflare Worker at mcp.tickerdb.com (Streamable HTTP + OAuth 2.1)
`local/` — Published npm package tickerdb-mcp (stdio)

Both transports use the same tool definitions. The MCP server is a thin proxy — access control, rate limiting, and field filtering are handled by the TickerDB API.

Authentication

Bearer token — Authorization: Bearer tdb_...
OAuth 2.1 — dynamic client registration, PKCE, token exchange, revocation. /authorize redirects to tickerdb.com for consent.

Unauthenticated initialize and tools/list are permitted for tool discovery; tools/call requires auth and returns a 401 Bearer challenge with resource_metadata for clean re-authorization.

Session strategy

The remote worker defaults to stateless transport — intentionally. All tools are request/response stateless, and Cloudflare Worker memory is isolate-local. Stateless mode avoids edge session loss that can invalidate connector-discovered namespaces. Set MCP_SESSION_MODE=stateful for explicit session debugging.

Development

npm install                              # workspace dependencies

npm run build # type-check remote + shared npx wrangler dev # remote dev server cd local && npm install && npm run build # npm package

Deployment

# Remote server

npx wrangler deploy

npm + MCP Registry (recommended)

export MCP_PUBLISHER_KEY="your_saved_tickerdb_registry_private_key_hex" ./release.sh mcp patch

npm only

cd local && npm version patch && npm run build && npm publish

TickerDB

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Or run it on your computer

Or run it on your computer

Or run it on your computer

Or run it on your computer

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Apify MCP Server

README from the maker

TickerDB — Stock market data for agents.

Tools

Quick start

Why not just pass raw OHLCV?

Setup

Hosted server (recommended)

npm package (local stdio)

Structure

Authentication

Session strategy

Development

Deployment

npm + MCP Registry (recommended)

npm only