Pricing

from $6.50 / 1,000 schema validateds

MCP Error Classifier

Classify MCP/tool-call errors into normalized categories such as auth, validation, timeout, rate limit, transport, schema, tool execution, permission, dependency, and unknown, with evidence and remediation hints.

Pricing

from $6.50 / 1,000 schema validateds

Rating

0.0

(0)

Developer

junipr

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

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SEO tools

Developer tools

You can access the MCP Error Classifier programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("junipr/mcp-error-classifier").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
15for item in client.dataset(run.default_dataset_id).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

MCP Error Classifier — API, schema, and developer QA API in Python

The Apify API client for Python is the official library that allows you to use MCP Error Classifier API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

MCP Error Classifier API in JavaScript

MCP Error Classifier API through CLI

MCP Error Classifier OpenAPI definition

MCP Error Classifier API

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