"A service that retrieves Terraform documentation via MCP" matching MCP servers:

Enables AI agents to manage Terraform modules by searching, inspecting, and scaffolding configurations from private GitHub repositories. Also provides backend S3 configuration for generated Terraform code.

Enables AI assistants to search and retrieve information about Terraform providers and modules from the public Terraform registry, including detailed documentation, version information, and resource specifications.

Search and retrieve Agent2Agent (A2A) protocol documentation using full-text search and section filtering.

MCP server for Claude Code that generates a documentation skeleton from Git repository changes, outputting a Markdown file with placeholders for AI analysis.

Provides full-text search and retrieval tools for Apache Spark documentation using SQLite FTS5 with BM25 ranking. It enables AI assistants to efficiently search, filter by section, and read specific Spark documentation pages.

A Model Context Protocol server that enables intelligent searching across documentation for 30+ programming libraries and frameworks, fetching relevant information from official sources.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

Enables searching and reading OCI documentation using the Oracle Help Center Search API. Provides tools for finding relevant documentation URLs and reading page content.

Connects AI assistants to Jira Service Management instances, providing 40 tools for managing service desks, requests, comments, customers, organizations, queues, SLA, approvals, and attachments.

Enables searching, reading, and listing pages from the official chezmoi documentation. Supports caching and Markdown conversion for LLM-friendly access.

Enables AI agents to recognize and extract text from images using PaddleOCR, supporting both file paths and base64 input with structured results including confidence scores and text positions.

Exposes data query and auto-insights (anomaly detection) as MCP tools. Enables AI agents to query metrics, list columns, and get data insights directly from pandas.

MCP server for InvGate Service Desk — manage incidents, users, knowledge base, assets and time tracking from any AI assistant.

Enables access to AWS documentation through natural language by fetching and converting documentation pages to markdown, searching AWS docs, and getting content recommendations for AWS service documentation.

Exposes five tools for querying and analyzing a customer-support dataset, including listing categories/intents, filtering, counting, and summarizing records.

Comprehensive documentation lifecycle management powered by an MCP server. Automates documentation creation, maintenance, quality assessment, and synchronization for software projects.

A Model Context Protocol (MCP) server that provides searchable access to GitLab's official documentation.

Enables AI agents to manage infrastructure by exposing Terraform tasks and deployments as tools via STDIO or SSE.

Enables AI assistants to navigate and query hierarchical documentation structures, supporting markdown files with YAML metadata and OpenAPI 3.x specifications. It features intelligent full-text search, metadata filtering, and a built-in web interface for both human and AI-driven documentation access.

Provides real-time stock market data and analysis from Chinese markets through 34 MCP tools, including K-line charts, technical indicators, fundamental analysis, financial metrics, and market insights without requiring authentication or API tokens.