Tmp.QxTMN6G9ww
/install creditkarma-mcp
creditkarma-mcp
MCP server for Credit Karma — syncs transactions into a local SQLite database and provides natural-language querying tools.
Setup
Option A — npx (recommended)
Add to .mcp.json in your project or ~/.claude/mcp.json:
{
"mcpServers": {
"creditkarma": {
"command": "npx",
"args": ["-y", "creditkarma-mcp"],
"env": {
"CK_COOKIES": "CKTRKID=...; CKAT=eyJ...%3BeyJ...; ..."
}
}
}
}
Option B — from source
git clone https://github.com/chrischall/creditkarma-mcp
cd creditkarma-mcp
npm install && npm run build
Then add to .mcp.json:
{
"mcpServers": {
"creditkarma": {
"command": "node",
"args": ["/path/to/creditkarma-mcp/dist/index.js"],
"env": {
"CK_COOKIES": "CKTRKID=...; CKAT=eyJ...%3BeyJ...; ..."
}
}
}
}
Or use a .env file in the project directory with CK_COOKIES=\x3Cvalue>.
Getting CK_COOKIES
Scripted (recommended — source install):
npm run auth # prints the Cookie header to the console
npm run auth -- .env # writes CK_COOKIES=\x3Cheader> to .env
Launches Chrome with a dedicated profile, waits for sign-in at creditkarma.com, then captures the full session Cookie header (CKAT carries the access + refresh JWTs; CKTRKID and friends are needed by the refresh endpoint). Use the printed value with Claude Desktop / MCPB, or the .env form when running from source.
Manual (DevTools):
- Log in to creditkarma.com in Chrome
- DevTools → Network → any creditkarma.com request → Request Headers
- Right-click the
cookieheader → Copy value
Authentication
Call ck_set_session with your Cookie header to store credentials and enable auto-refresh.
- Access token: ~15 min TTL, auto-refreshed transparently
- Refresh token: ~8 hours TTL
- When expired: re-run
npm run auth(or grab a fresh Cookie header) and callck_set_session
Tools
Auth
| Tool | Description |
|---|---|
ck_set_session(cookies) |
Store credentials — paste the full Cookie header from a signed-in creditkarma.com request |
Sync
| Tool | Description |
|---|---|
ck_sync_transactions(force_full?) |
Sync transactions to local SQLite. Incremental by default (since last sync − 30 days). force_full=true re-fetches everything. |
Query
| Tool | Description |
|---|---|
ck_list_transactions(start_date?, end_date?, account?, category?, merchant?, status?, min_amount?, max_amount?, limit?, offset?) |
Filtered, paginated transaction list |
ck_get_recent_transactions(limit?) |
N most recent transactions (default 20) |
ck_get_spending_by_category(start_date?, end_date?) |
Spending totals grouped by category |
ck_get_spending_by_merchant(start_date?, end_date?, limit?) |
Spending totals grouped by merchant |
ck_get_account_summary |
Transaction counts and totals per account |
ck_query_sql(sql) |
Read-only SQL query against the local database (SELECT only) |
Workflows
First-time setup:
- Run
npm run auth(or grab the Cookie header manually from a creditkarma.com request in DevTools) - Paste into
CK_COOKIESenv var, or callck_set_session(cookies)from within Claude ck_sync_transactions→ initial full sync
Regular use:
ck_sync_transactions→ pull latest transactions- Then query with any of the query tools
Spending analysis:
ck_sync_transactions
ck_get_spending_by_category(start_date: "2026-01-01", end_date: "2026-03-31")
ck_get_spending_by_merchant(start_date: "2026-01-01", limit: 10)
Custom analysis with SQL:
-- Monthly spending totals
SELECT strftime('%Y-%m', date) AS month, SUM(ABS(amount)) AS total
FROM transactions WHERE amount \x3C 0
GROUP BY month ORDER BY month DESC
-- Spending by category this year
SELECT c.name, SUM(ABS(t.amount)) AS total
FROM transactions t JOIN categories c ON t.category_id = c.id
WHERE t.date >= '2026-01-01' AND t.amount \x3C 0
GROUP BY c.name ORDER BY total DESC
Database schema
transactions (id, date, description, status, amount, account_id, category_id, merchant_id, raw_json)
accounts (id, name, type, provider_name, display)
categories (id, name, type)
merchants (id, name)
sync_state (key, value)
Notes
- All query tools run against the local SQLite database — sync first
- Amounts: negative = expense/debit, positive = credit/income
ck_query_sqlonly allows SELECT — no writes to Credit Karma data- Sync saves a resume cursor — interrupted syncs can be resumed automatically
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install creditkarma-mcp - 安装完成后,直接呼叫该 Skill 的名称或使用
/creditkarma-mcp触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Tmp.QxTMN6G9ww 是什么?
Access Credit Karma transaction data via MCP. Use when the user asks about their Credit Karma transactions, spending by category or merchant, account summari... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 168 次。
如何安装 Tmp.QxTMN6G9ww?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install creditkarma-mcp」即可一键安装,无需额外配置。
Tmp.QxTMN6G9ww 是免费的吗?
是的,Tmp.QxTMN6G9ww 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Tmp.QxTMN6G9ww 支持哪些平台?
Tmp.QxTMN6G9ww 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Tmp.QxTMN6G9ww?
由 chrischall(@chrischall)开发并维护,当前版本 v2.0.7。