markdown2pdf-mcp
by 2b3pro
- mcp-server-analytics
# MCP analytics template for Tinybird
This template includes the necessary code to implement remote MCP Server Analytics using Tinybird.
[Watch a video demo](https://www.youtube.com/watch?v=8MlFALTsUqY) to learn how it works.
## Quick start
Follow these steps to get started.
### Create a new Tinybird Workspace
Click the button to deploy the project to your Tinybird Workspace. You'll be prompted to create a free Tinybird account if you don't yet have one.
[](https://app.tinybird.co?starter_kit=https://github.com/tinybirdco/mcp-tinybird/mcp-server-analytics/tinybird)
Deploying the project automatically creates:
1. Data Sources to store the log events
2. SQL Pipes to build metrics
3. Published API endpoints in Prometheus format
### Send log events
#### Using Python
Add the following dependency to your `requirements.txt` file:
```
tinybird-python-sdk>=0.1.6
```
Configure the logging handler:
```python
import logging
from multiprocessing import Queue
from tb.logger import TinybirdLoggingQueueHandler
from dotenv import load_dotenv
load_dotenv()
TB_API_URL = os.getenv("TB_API_URL")
TB_WRITE_TOKEN = os.getenv("TB_WRITE_TOKEN")
logger = logging.getLogger('your-logger-name')
handler = TinybirdLoggingQueueHandler(Queue(-1), TB_API_URL, TB_WRITE_TOKEN, 'your-app-name', ds_name="mcp_logs_python")
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)
logger.addHandler(handler)
```
- Replace `TB_WRITE_TOKEN` with the `mcp_public_write_token` located in the [Tinybird dashboard](https://app.tinybird.co/tokens).
- Your `TB_API_URL` is the URL of your Tinybird region. See [Regions and endpoints](https://www.tinybird.co/docs/api-reference#regions-and-endpoints).
To properly process your log events, add an extra dictionary with the `tool`, `resource`, `prompt`, `mcp_server_version` and `session` keys when it applies. That way the provided Tinybird Workspace will be able to process metrics by tool, resource, prompt and session.
```python
logger.info(f"handle_call_tool {name}", extra={"session": session, "tool": name, "mcp_server_version": "0.1.4"})
```
See some sample logger calls [here](https://github.com/tinybirdco/mcp-tinybird/blob/main/src/mcp_tinybird/server.py)
#### Using TypeScript
```js
const loggingToken = "<TB_WRITE_TOKEN>";
const loggingEndpoint = "<TB_API_URL>/v0/events?name=mcp_logs";
const loggingSession = crypto.randomUUID();
async function logger(level: string, record: object) {
try {
await fetch(
loggingEndpoint,
{
method: 'POST',
body: JSON.stringify({
timestamp: new Date().toISOString(),
session: loggingSession,
level: level,
record: JSON.stringify(record)
}),
headers: { Authorization: `Bearer ${loggingToken}` }
}
)
.then((res: Response) => { /**process.stderr.write("logged");**/ });
} catch (error) {
// process.stderr.write("error logging");
}
```
- Replace `TB_WRITE_TOKEN` with the `mcp_public_write_token` located in the [Tinybird dashboard](https://app.tinybird.co/tokens).
- Your `TB_API_URL` is the URL of your Tinybird region. See [Regions and endpoints](https://www.tinybird.co/docs/api-reference#regions-and-endpoints).
To properly process your log events, add the following keys to the `record` JSON object:
```js
record = {
"appName": "mcp-tinybird",
"funcName": "handle_call_tool",
"tool": "run-select-query",
"prompt": "",
"resource": "",
"level": "info",
"version": "0.1.4",
"message": "this is a message"
}
```
See some sample logger calls [here](See [ClaudeKeep](https://github.com/sdairs/claudekeep/blob/main/apps/mcp/src/index.ts)
### Monitor with Grafana and Prometheus
Add this to your `prometheus.yml` file:
```yaml
scrape_configs:
- job_name: mcp_server
scrape_interval: 15s # Adjust the scrape interval as needed
scheme: 'https'
static_configs:
- targets:
- 'api.tinybird.co' # Adjust this for your region if necessary
metrics_path: '/v0/pipes/api_prometheus.prometheus'
bearer_token: '<your-public-prometheus-token>'
```
Find `<your-public-prometheus-token>` in the [Tinybird dashboard](https://app.tinybird.co/tokens) with the name `prometheus`.
You should start seeing your metrics in Grafana to build your own dashboards and alerts.
You can find a sample dashboard for Grafana can be found [here](./mcp-server-metrics-with-logs-v1.json).
Click the image to watch a video on how to import the Dashboard into Grafana:
[](https://youtu.be/lOz5opvM24Q)
## Components
The project uses Python and Typescript logging handlers to send events to the Tinybird [Events API](https://www.tinybird.co/docs/ingest/events-api) transforms the events and publishes metrics as Prometheus endpoints that you can integrate with your preferred observability tool.