"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.

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A production-grade MCP server demonstrating the wrapping pattern for AI-augmented data pipelines, specifically a job-search scoring pipeline.

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.

Enables scraping LLM inference pricing from websites like Cloudrift, DeepInfra, Fireworks, and Groq, storing results in SQLite for cost comparison.

A read-only DuckDB MCP server offering context-efficient analytics tools (list_datasets, describe_table, profile_column, explain, query) with a semantic layer for business rules, security guards, and disclosed truncation to help LLMs produce correct answers while minimizing token usage.

MCP server for creating day-by-day trip itineraries in SQLite, with a planner agent that uses a Tavily search scout via tool boundaries. Enforces guard rails like rejecting activities on out-of-range days.

Enables AI assistants to help manage your You Need A Budget (YNAB) finances through comprehensive budget operations. Supports account management, transaction handling, category budgeting, split transactions, scheduled payments, and spending analytics with robust error handling and automatic retry logic.

Enables LLM assistants such as Claude Desktop and Cursor to discover database schemas and run strictly read-only SELECT/EXPLAIN queries against local database files. Includes parser- and engine-level blocking of mutations, result truncation to prevent context overflow, and structured error responses that help models self-correct.

Enables agents to search and read help-center articles and to list, retrieve, and create tickets in a local SQLite support queue.

Celp-MCP enables natural-language analytics over SQL, MongoDB, and Databricks warehouses through MCP-compatible clients, converting questions into multi-step database plans and returning markdown reports.

Provides a read-only MCP interface to stored Plum-Island host observations over stdio, enabling IP inspection, structured and free-text search, tag and header discovery, and query help through the controller’s Discovery API.

A Model Context Protocol server that enables AI agents to interact with Netwrix Access Analyzer through standardized interfaces, allowing visibility into data access risks, data classification, and user access patterns to help organizations better secure their most sensitive data.

Analyzes genealogy trees to detect errors, duplicates, and timeline inconsistencies while identifying missing source citations. It generates detailed audit reports and prioritized research leads to help users maintain accurate and well-documented family histories.

A focused project memory system that provides knowledge graph capabilities and SQLite database operations for intelligent entity tracking and workflow management. It enables AI models to maintain persistent project context through 17 specialized tools, 10 resources, and 27 pre-built prompts.

Analyzes PubMed medical literature to help researchers quickly gain insights into medical research dynamics, with features including literature retrieval, hotspot analysis, trend tracking, and comprehensive reports.

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.

Provides comprehensive SQLite database interaction for AI agents, including data manipulation, schema inspection, and automated query logging. It features a unique context preservation pattern that uses a dedicated meta-table to help autonomous agents maintain self-documenting database architectures.

A Python-based MCP server that analyzes PostgreSQL query plans, suggests indexes, and checks pagination safety to help optimize database performance.