"Automating Testing and Debugging for LLMs in Production" matching MCP servers:

Controls a running Chrome/Chromium browser via the Chrome DevTools Protocol, enabling navigation, JavaScript evaluation, tab management, and raw CDP commands through MCP tools.

MCP server that exposes GDB debugging as tools. An AI assistant can set breakpoints, run programs, step through code, inspect variables and memory, and examine registers — all via structured tool calls. Reverse debugging with rr is also supported.

Enables MCP-capable assistants to inspect, create, measure, and review Blender production workflows for characters, rigs, animation, game meshes, facial performance, secondary motion, and PBR materials with checkpoints and visual QA.

MCP server for SecretiveShell/Awesome-llms-txt. Add documentation directly into your conversation via MCP resources.

Enables submitting FMF-based test requests to Testing Farm and listing available OS composes for testing.

Enables fast, token-efficient access to large documentation files in llms.txt format through semantic search. Solves token limit issues by searching first and retrieving only relevant sections instead of dumping entire documentation.

Enables AI assistants to generate feasible production schedules with an OR-Tools CP-SAT solver, assigning job steps to eligible machines while avoiding conflicts and downtime and minimizing priority-weighted lateness.

Enables natural-language chat-driven API testing, letting users upload API specs, run deterministic pytest checks against live targets, inspect results, create defects, and view failure trends.

Provides a production-oriented MCP server exposing tools, resources, and prompts over Streamable HTTP with JWT authentication and per-tool RBAC, enabling Amazon Bedrock Claude clients to securely invoke MCP capabilities.

A full-stack API automation testing server that parses OpenAPI/Swagger/Postman/HAR specs, generates comprehensive test scenarios and executable code, and provides AI-powered review and auto-fix.

MCP server that enables AI agents to programmatically run tests, query results, and receive intelligent recommendations about test execution strategy.

Enables users to describe their LLM fine-tuning job once and get the cheapest, fastest, and most balanced GPU options across a dozen cloud providers in seconds.

Enables AI agents to safely call enterprise tools through a governed MCP gateway with permission enforcement, blast-radius controls, input validation, and a full audit trail for every invocation.

Music Production AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

A multi-language testing automation server that enables AI assistants to discover, plan, and execute tests across six major programming languages. It provides comprehensive tools for repository scanning, automated test execution, and detailed coverage reporting.

A production-ready Pokémon MCP server that enables users to get comprehensive Pokémon information and simulate realistic turn-based battles. Features enterprise-grade authentication, monitoring, rate limiting, and serverless deployment capabilities.

Enables local, read-only static inspection of Python/FastAPI, Docker, and GitHub Actions release evidence through a stdio interface, returning rule and instance findings without importing or executing target code.

Enables MCP-compatible clients to discover API endpoints from OpenAPI/Swagger specs, send HTTP requests, validate responses, and analyze status codes for automated API testing.

Analyzes Testing Farm jobs, checks job status, and investigates failures with detailed error information.

MCP server that exposes immutable CAN signal and MISRA reference facts as read-only resources and provides a human-gated defect filing tool with tamper-evident audit logging.

Enables LLM agents to manage projects, track issues, log work, and integrate with Git. Provides 23 MCP tools for full project management capabilities.

Enables users to describe an LLM fine-tuning job in natural language and receive ranked GPU recommendations from a dozen cloud providers, based on estimated VRAM and FLOPs requirements. It surfaces the cheapest, fastest, and most balanced hardware options while disclosing the source and freshness of each price.

Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.

Enables AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through natural language.

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.

Serves plain-text notes that an Obsidian user has explicitly published for AI over streamable HTTP, with full-text and embedding-based search. MCP clients can read and search those notes and queue suggested edits that the user's own client applies only if the AI rules allow it.

A universal AI-powered testing server built on the Model Context Protocol (MCP). Allows AI agents to inspect, execute, test, monitor, debug, and report on software projects.

A production-grade MCP server designed for multi-tenant, authenticated, and observable AI agent systems, enabling secure tool execution across heterogeneous data sources.

Enables desktop AI agents to manage email through MCP with a single account setup, OS keyring credentials, enforced read/draft/manage permissions, client onboarding helpers, and a credential-free demo.

Enables safety-gated, local MCP-driven automation of a validated Windows CLIP STUDIO PAINT 5.1.2 production environment, including screenshot inspection, UI input, shortcuts and Auto Actions, and constrained file import/export operations.

Enables AI agents to build and structurally validate Indian GST e-invoice JSON payloads (INV/CRN/DBN) and render IRP-returned signed QR strings as PNG images.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

Enables AI agents to test Telegram bots by driving the official Telegram Web client in a real browser, allowing visual verification of bot responses, inline keyboards, and Mini Apps.

A local-first FastAPI and MCP safety kit for turning internal HTTP APIs into controlled MCP tools, with per-tool scopes, quotas, audit events, and default-deny web-access boundaries.

A production-ready MCP server that integrates OpenAI with FastAPI and Redis to provide streaming agentic chat capabilities and session memory. It features built-in tools for weather, calculations, and Wikipedia searches while supporting enterprise-grade features like rate limiting and structured logging.

Enables users to describe an LLM fine-tuning workload and receive ranked, cost- and runtime-optimized GPU recommendations across multiple cloud providers by estimating VRAM and FLOPs.

Enables users to describe an LLM fine-tuning job once and receive the cheapest, fastest, or most balanced GPU hardware options across a dozen cloud providers by calculating required VRAM/FLOPs and aggregating live pricing.

Enables users to describe an LLM fine-tuning job and receive ranked, task-aware GPU recommendations with estimated VRAM/FLOPs, cost, and runtime across more than ten cloud providers.

Enables users to describe an LLM fine-tuning workload once and get task-aware VRAM/FLOPs estimates plus ranked cheapest, fastest, and balanced GPU recommendations across multiple cloud providers.

Enables users to describe an LLM fine-tuning job and receive the cheapest, fastest, or most balanced GPU options across multiple cloud providers by calculating required VRAM and FLOPs.