"Help Scout" matching MCP servers:

Enables AI assistants to access Scout Monitoring performance and error data through Scout's API. Provides traces, errors, metrics, and insights for Rails, Django, FastAPI, Laravel and other applications to help identify and fix performance issues like N+1 queries, slow endpoints, and memory bloat.

MCP server that finds beginner-friendly GitHub issues ranked by likelihood of successful contribution, with repo health scoring and issue status checks via the GitHub API.

Enables AI assistants to scout GitHub for existing open-source projects, libraries, and frameworks before building from scratch, offering tools for stack suggestions, repository searches, and detailed repo evaluation.

Enables AI assistants to search, inspect, compare, and evaluate GitHub repositories using read-only tools, including topic discovery, repository health scoring, security advisories, dependency audits, and supply-chain risk checks. It returns concise, readable results and can work without a token, with optional authentication for higher rate limits and code search.

Enables AI agents to interact with Scout Live platform capabilities through standardized MCP primitives, including tools for app management, deployment, and logging.

A Model Context Protocol server that integrates with Cursor IDE to provide real-time git-spice documentation search capability.

Atlas Scout is a local, read-only MCP server for structural code navigation. It builds a disposable SQLite index inside each workspace and provides definitions, source ranges, references, call relationships, architecture summaries, and edit-impact evidence to coding agents.

Local Model Context Protocol (MCP) stdio server built with the official TypeScript SDK for discovering coding agents, requesting work, messaging, and tracking handoffs through a local Scout broker. Requires Bun 1.3+ and scout setup; the root README now documents MCP client configuration, tools, and direct implementation/test links (PR #28), for high-trust local developer pilots.

Enables AI assistants to safely explore, analyze, and maintain PostgreSQL databases with read-only mode by default, SQL injection prevention, query performance analysis, and optional write operations.

Captures comprehensive context about development issues and facilitates human assistance through structured API-based help requests.

Wraps bondex.app's public job board API/RSS into standard MCP tools so any agent host can run keyword, location, remote, and date-filtered job searches and fetch individual posting details. Read-only and host-neutral, it returns structured listings with titles, companies, locations, apply links, and publication dates.

Enables MCP hosts to search and fetch job postings from hired3.com through read-only search_jobs and get_job tools. Supports keyword and soft location filtering, remote preference, posted-after dates, and limited result counts.

Provides AI coding assistants with local access to 4500+ MQL5 documentation files and supplementary ebooks via MCP, enabling efficient search, browsing, and error diagnosis for MQL5 development.

Dep-scout prevents AI coding agents from reinventing the wheel by searching package registries for mature, safe packages and scoring them on reuse quality, security, and license compliance.

Enables agents to statically analyze Python source via AST traversal, computing McCabe cyclomatic complexity, cognitive nesting depth, and dependency graphs to pinpoint refactoring hotspots. It returns standardized refactoring plans, decomposition guidance, and code-metric telemetry with zero external dependencies.

Enables agents to evaluate MCP servers and verify attestations from inside an editor, using read-only, allowlisted tools that never send credentials.

Provides a RAG-based search system for 1C:Enterprise platform documentation using hybrid BM25 and semantic search across multiple versions. It enables developers to retrieve API signatures, methods, and usage examples directly within IDEs or through a REST API.

A Model Context Protocol server for local Drupal development that combines file indexing with drush-powered database queries to provide AI assistants with knowledge of your site's structure, content, and the drupal.org ecosystem.

Enables coding agents and developers to parse Python source into ASTs and compute complexity metrics that pinpoint refactoring hotspots, dead code, and breaking API diffs. It returns decomposition plans and dependency-graph telemetry over MCP, keeping token usage low with zero external dependencies.

Provides comprehensive Pine Script v6 documentation and tools to help AI assistants look up functions, validate syntax, and generate accurate code. It enables linting, version conversion from v5 to v6, and deep conceptual analysis to prevent code hallucinations.

Provides AI coding agents with version-aware StencilJS API references, decorator signatures, lifecycle hooks, and best practices to help them write idiomatic Stencil code.

Provides software design guidance via MCP, including SOLID principles, design patterns, pattern scaffolding, and heuristic code-smell detection to help review and refactor code.

A local-first MCP preflight system to help AI inspect Python repositories before generating code, enabling reuse, extend, or create decisions. Currently in early development with only foundational modules implemented.

Any MCP server. Anywhere. An OAuth-protected MCP gateway that can also run the servers, plus your Grok subscription as an OpenAI-compatible API.

A Model Context Protocol server that enables Claude to help developers implement SMS and MMS messaging features in web and mobile applications through direct integration with BaaS API services.

Provides AI-driven project memory management through structured prompts that help Claude parse tasks from specs, review code changes, sync with commit history, and maintain project documentation without directly accessing files.

A comprehensive MCP server that provides intelligent access to the HoloViz ecosystem, enabling AI assistants to help you build interactive dashboards and data visualizations with Panel, hvPlot, Lumen, Datashader, and your favorite Python libraries.

Provides Japanese UX conventions as an MCP server to help AI generate correct Japanese UI elements like proper name order, furigana, phone formats, and polite language. It includes tools for form generation, validation, keigo suggestions, and cultural adaptation for developers building Japanese-facing products.

Provides guidance on the W3C Authoring Tool Accessibility Guidelines (ATAG 2.0) to help authoring tool developers build accessible software.

Connects Claude to a live Chrome browser's accessibility tree to generate stable, framework-agnostic test selectors and perform accessibility audits. It enables users to read element roles and states exactly as a screen reader would to help write, debug, and migrate test suites using natural language.