"A managed cloud provider that deploys my application" matching MCP servers:

Enables AI models to seamlessly access and query local markdown technical documentation files, providing automatic documentation context without explicit prompting.

An MCP server that enables AI to interact with the private 'my-design' React component library and design tokens for UI generation and technical support. It provides tools for component searching, API documentation retrieval, and migration guidance based on specific internal design specifications.

Personal MCP server that wraps K-IFRS, K-GAAP, auditing standards, and Q&A from kifrs.com and FSS, providing 16 tools for search, citation verification, and feedback.

Enables interaction with Confluence Cloud pages, spaces, content, media, and navigation via natural language, with session-based editing and native macro support.

Enables Claude Desktop to search, read, and update Confluence Cloud pages, spaces, attachments, comments, and version history through the Confluence REST API v1 and v2 using local stdio.

Provides offline, read-only full-text search over a local Yandex Cloud documentation checkout via MCP, with ranked search, line-numbered excerpts, and index status tools.

Enables AI clients to browse, read, update, and search a document store through tools, resources, and prompts, including summarizing and comparing documents via URI-addressable resources and reusable prompt templates.

MCP server for asking questions about Prisma Cloud documentation

MCP server for asking questions about Cortex Cloud documentation

Provides Stackpress framework context and documentation to AI utilities like Claude Desktop and Cline. Enables AI assistants to understand and work with Stackpress projects by fetching and serving relevant framework information.

Provides read-only Model Context Protocol tools for My AskAI, enabling documentation search, filesystem queries, and pricing estimates.

Enables AI clients to search and retrieve IBM Cloud documentation, converting pages to clean Markdown.

Enables AI assistants to search and access Google Cloud Platform documentation in real-time, supporting 20+ GCP services with natural language queries and smart content extraction.

A comprehensive MCP server providing arithmetic tools, dynamic file resources for frontend/backend documentation, reusable prompt templates for code review/debugging/testing, and complete development workflow management from requirements to deployment.

Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.

Enables searching and retrieving content from Lark (Feishu) documents via MCP tools, supporting Doc and Wiki types with OAuth authentication.

Enables unauthenticated MCP access to Google Cloud documentation by proxying requests to the Developer Knowledge API, allowing coding agents to query docs without direct Google authentication.

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.

Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.

Enables coding agents to query a team knowledge base via MCP, performing semantic search and asking questions that return grounded, citation-backed answers from ingested documents.