"Help Scout" matching MCP servers:

An MCP server that provides targeted PostgreSQL schema access to AI agents, retrieving only relevant tables for a question and enforcing read-only access through multiple layers.

An MCP server that enables local BM25 search over 1C:Enterprise platform documentation, exposing identical tools via both stdio and streamable HTTP endpoints.

Turn YouTube, TikTok, X videos and websites into structured data. Skip the hassle of video transcription and data scraping. Our APIs help you build better software and AI products faster.

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.

Enables agents to query a self-hosted, locally indexed web corpus through MCP tools for keyword, neural, or hybrid search, to fetch clean text from already-indexed URLs, and to discover pages similar to an indexed URL.

Connects MCP clients such as Claude, ChatGPT, Cursor and VS Code to a product's published help pages, product map, release timeline and past support conversations, letting users search, read, ask questions with cited answers, and run code-backed investigations. It also offers a sign-in-free server per public help center for visitor-style help search and team contact.

Enables semantic search across PostgreSQL, TimescaleDB, and PostGIS documentation to help AI coding assistants write better PostgreSQL code.

Enables AI agents to query Russian API, product help, and training documentation by resolving catalog services, searching ranked document fragments, and reading full or paginated documents via remote MCP tools.

Provides semantic search capabilities for Hex package documentation using AI embeddings. Automatically fetches, processes, and searches Elixir package documentation to help developers find relevant information through natural language queries.

A personal RAG MCP server that indexes your GitHub commits and review comments, surfacing them as retrieval hits to help Claude Code write or review code in your style.

Enables AI assistants to navigate and populate complex ontologies by transforming unstructured data into structured, SHACL-validated knowledge graphs. It features semantic hybrid search and proactive schema guidance to help users build deeply linked, reasoning-ready data.

An AI-powered job recommender built on the Model Context Protocol that provides personalized career suggestions through resume and skills matching. It utilizes LLMs and external tool integrations to help users find relevant job openings based on their professional profile.

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.

Enables semantic search through markdown documentation in code repositories using AI embeddings. Provides intelligent document chunking and similarity-based search to help users find relevant documentation based on meaning rather than just keywords.

Enables AI assistants to interact with HubSpot CRM data by creating and retrieving contacts, companies, activity, and conversations, while supporting semantic search over previously retrieved data. Built-in vector storage and caching help improve performance and work around API limitations.

An MCP server that enables users to query Kedro framework documentation using retrieval-augmented generation. It builds a local knowledge base from documentation files to help users navigate and apply Kedro's data science pipeline framework.

Enables support engineers to analyze tickets against a help center with cited retrieval, role-gated and human-confirmed actions, and safety-gated evaluation.

Enables querying and analysis of SEC filing documents through natural language. Uses Pinecone vector search with document summarization to help users retrieve and understand financial filings for various companies.

MCP server for Nimbus Operations Copilot that enables AI agents to search help docs, customer data, invoices, and tickets, and propose refunds/tickets with human approval for writes.

Enables semantic search over Jimdo help documentation to find relevant information and answers.

Enables AI assistants to interact with HubSpot CRM data through tools for creating and retrieving contacts, companies, activities, and conversations, plus semantic search over previously retrieved data. Built-in vector storage and caching help overcome API limitations and improve response times.

Enables AI assistants to interact with HubSpot CRM data, providing tools to create and retrieve contacts, companies, activities, and conversations, plus semantic search across previously retrieved data. Built-in vector storage and caching help overcome HubSpot API limitations and improve response times.

Local multi-version RAG MCP server for Keysight ADS help documentation, enabling search, AEL function lookup, and version comparison via natural language.

MCP server for LambdaMOO programming assistance. Provides semantic search over verbs and help topics, canonical symbol lookup, and a syntax primer to coding agents.

Enables AI agents to automate and navigate Naver SmartStore administration by providing screen and selector maps, Talk CS handling, three-step safety approvals, official help-document RAG, and search ad keyword tools.

Integrates Perplexity API into Claude/Cowork as MCP tools for search, trend scouting, and deep research.

DevsContext is an MCP server that provides AI coding agents with synthesized engineering context—requirements, decisions, architecture, and standards—from tools like Jira and Slack. It fetches and synthesizes relevant information on demand to help agents work on tasks correctly.

Provides persistent context management for AI agents by storing and querying semantic information using Upstash Vector DB and Google AI embeddings. It enables semantic search, batch operations, and metadata filtering to help agents retrieve relevant stored knowledge.

A Context-as-a-Service MCP server that maintains structured, graph-based context for Shopify apps by extracting and summarizing data from web sources and help centers. It enables multi-agent systems to retrieve isolated, provenance-backed context slices or starter bundles via push and pull mechanisms.

Enables MCP clients to search and browse 1C:Enterprise syntax help, with full-text, vector, and hybrid search, page/chunk retrieval, hierarchy navigation, related-page lookup, and index rebuilding.