"Managing Social Media Content Creation Using Monday" matching MCP connectors:

Diagnose AI agent failures & translate ambiguous human input into clear intent using RPCS-1.

Pay-per-call live telemetry, environmental metrics, transit state vectors, blockchain reads, network/security lookups and real-time utilities for AI agents using x402 and MCP.

Connect engineering metrics, DORA performance, and deploy risk scoring to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.

Furgonetka MCP Server is an extension for LLMs (such as Claude) that integrates AI assistants with Poland's most popular courier brokerage platform. The server enables models to interact directly with services from various couriers (including InPost, DPD, DHL, UPS, and Poczta Polska) through a single, unified interface. With this integration, your AI stops just "writing about logistics" and starts actually managing it.

Enable secure connectivity between Sentry issues and debugging data, and LLM clients, using a Model Context Protocol (MCP) server.

Debug production issues using Shipbook logs and Loglytics error insights.

Structural observability for AI conversations. Detects loops, stuck states, breakthroughs, and convergence across 17 channels without analyzing content.

The Jam MCP server provides AI tools with instant bug context without manual prompting, enabling a streamlined workflow from bug identification to ticket creation and pull request generation without switching between tools.

The Buildkite MCP server exposes Buildkite product data (pipelines, builds, jobs, and test data) to AI tools, editors, and agents through the Model Context Protocol. It provides capabilities including pipeline creation and management, build monitoring with specialized tools like 'wait_for_build', efficient log querying using Apache Parquet conversion and caching, and OAuth-based authentication for both read-write and read-only access to Buildkite's REST API.