"How to identify when runtime errors occur in a program" matching MCP servers:

A unified developer toolkit for AI-assisted workflows. Task timing, doc drift detection, env validation, secret scanning, port conflict resolution, AI context generation, and license auditing — one MCP server, one install.

Bridges Xcode and Cursor to provide real-time access to build errors, warnings, and debug output from Xcode's DerivedData, enabling automated error analysis and fixes directly within Cursor.

Aziel Runtime is a node-meshed MCP software orchestration suite for digital forensics, auditing, provenance, research, intelligence-support, and secure agent workflows, with a single gated execution path, compartmentalized engines, verifiable receipts, temporal integrity, and explicit capability refusal. It is not merely an API aggregator or generic tool router.

Enables AI coding agents to compile, test, run, hot-swap, and debug Java applications incrementally through MCP, providing runtime feedback for verifying code changes.

Provides AI coding agents with real-time visibility into local development runtime state, enabling them to tail application logs, inspect ports, monitor process metrics, and diagnose network errors.

A local, evidence-driven MCP runtime and control plane for open-source maintainers that provides workspace-bounded tools including controlled file operations, command execution, validation primitives, durable execution records, and human review workflows via stdio and Streamable HTTP transports.

It lets MCP clients evaluate a single Emacs Lisp form in an already-running Emacs instance through one tool, enabling agents to discover and invoke built-in, package, and user-defined capabilities from the live runtime.

Drop-in MCP server that lets Claude inspect, debug, and hot-fix your running Bun process through conversation.

Enables Codex to manage a local Claude Code companion through MCP, implementing a dual-agent workflow where Codex handles reasoning and review while Claude Code performs engineering tasks.

Enables academic research through paper search across multiple databases (IACR, CryptoBib, Crossref, Google Scholar), PDF processing, and GitHub repository browsing. Features modular architecture with FastMCP-based proxy server routing to specialized academic tools.

A robust runtime for the official Model Context Protocol (MCP) that adds proxying, session management, JWT auth, persistent user storage with scopes, and progress notifications.

A shared runtime that discovers LangChain tools from a toolset package and serves them as an MCP server, with optional UI views and a CLI for managing tools.

Serves offline document validation and evaluation operations of the Judgment Pack Specification to MCP clients over stdio, enabling agents to validate and evaluate JPS documents as tool calls. Supports conformance validation, experimental evaluation with disposition and error classes, and corpus testing.

Provides a persistent JavaScript kernel that treats any configured MCP server as a capability catalog, exposing all its tools to the model through just two tools (js and js_reset) while keeping the model-visible schema small and injecting host parameters like projectPath.

This MCP server provides a stateful, resettable, verifiable API runtime that gates every tool call, enabling agents to run long workflows against provider-shaped environments without live provider write access. It records decisions, side effects, and outcome evidence for replayable, verifiable benchmark runs.

Enables local browser inspection and explicitly approved interaction with configurable capture profiles, bounded responses, network policy, and operator-controlled capabilities.

Persistent MCP server runtime for progressively discovering and loading MCP, REST, and local CLI adapters, with host-side credentials and explicit confirmation for mutations.

Enables any MCP client to drive the user's real Chrome profile through a Chrome extension bridge, with tools for navigation, accessibility snapshots, ref-based interactions, console/network reading, screenshots, tab management, and restricted script evaluation.

Enables AI assistants to interact with running Godot 4 C# games in real-time, providing scene tree inspection, signal debugging, runtime property modification, and enhanced logging capabilities through 48 MCP tools.

Enables direct local development operations such as shell commands, interactive terminals, file patches, images, and execution history through MCP tools, accessible via HTTP/stdio or a ChatGPT tunnel.