PDF Tools MCP alternatives

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Coda MCP Server

A Model Context Protocol server enabling seamless interaction with Coda documents and pages.

Coda MCP Server implements a Model Context Protocol (MCP) server that bridges AI assistants or MCP clients with the Coda API. It provides standardized tools for listing, creating, reading, updating, duplicating, and renaming Coda pages, as well as handling document context. The server communicates over standard input/output, supporting integration with platforms like Cursor and Claude Desktop, and can be deployed via Node.js or Docker.

36 22 MCP

2

anki-mcp

MCP server for seamless integration with Anki via AnkiConnect.

An MCP server that bridges Anki flashcards with the Model Context Protocol, exposing AnkiConnect functionalities as standardized MCP tools. It organizes Anki actions into intuitive services covering decks, notes, cards, and models for easy access and automation. Designed for integration with AI assistants and other MCP-compatible clients, it enables operations like creating, modifying, and organizing flashcards through a unified protocol.

6 4 MCP

3

MCP Obsidian Server

Integrate Obsidian note management with AI models via the Model Context Protocol.

MCP Obsidian Server acts as a bridge between Obsidian and AI models by providing an MCP-compatible server interface. It enables programmatic access to Obsidian vaults through a local REST API, allowing operations like listing files, searching, reading, editing, and deleting notes. Designed to work with Claude Desktop and other MCP-enabled clients, it exposes a set of tools for efficient note and content management within Obsidian.

2,394 298 MCP

4

MyMCP Server (All-in-One Model Context Protocol)

Powerful and extensible Model Context Protocol server with developer and productivity integrations.

MyMCP Server is a robust Model Context Protocol (MCP) server implementation that integrates with services like GitLab, Jira, Confluence, YouTube, Google Workspace, and more. It provides AI-powered search, contextual tool execution, and workflow automation for development and productivity tasks. The system supports extensive configuration and enables selective activation of grouped toolsets for various environments. Installation and deployment are streamlined, with both automated and manual setup options available.

93 9 MCP

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MCP Server for Odoo

Connect AI assistants to Odoo ERP systems using the Model Context Protocol.

MCP Server for Odoo enables AI assistants such as Claude to interact seamlessly with Odoo ERP systems via the Model Context Protocol (MCP). It provides endpoints for searching, creating, updating, and deleting Odoo records using natural language while respecting access controls and security. The server supports integration with any Odoo instance, includes smart features like pagination and LLM-optimized output, and offers both demo and production-ready modes.

101 58 MCP

6

TickTick MCP Server

Enable powerful AI-driven task management for TickTick via the Model Context Protocol.

TickTick MCP Server provides comprehensive programmatic access to TickTick task management features using the Model Context Protocol. Built on the ticktick-py library, it enables AI assistants and MCP-compatible applications to create, update, retrieve, and filter tasks with improved precision and flexibility. The server supports advanced filtering, project and tag management, subtask handling, and robust context management for seamless AI integration.

35 9 MCP

7

Typst MCP Server

Facilitates AI-driven Typst interactions with LaTeX conversion, validation, and image generation tools.

Typst MCP Server implements the Model Context Protocol, enabling AI models to interface seamlessly with Typst, a markup-based typesetting system. It provides tools for tasks such as converting LaTeX to Typst, validating Typst syntax, listing and retrieving Typst documentation chapters, and rendering Typst code as images. The server is compatible with MCP agent clients, such as Claude Desktop and VS Code’s agent mode. All functionalities are exposed as tools for ease of LLM integration.

79 7 MCP

8

Yuque-MCP-Server

Seamless integration of Yuque knowledge base with Model-Context-Protocol for AI model context management.

Yuque-MCP-Server provides an MCP-compatible server for interacting with the Yuque knowledge base platform. It enables AI models to retrieve, manage, and analyze Yuque documents and user information through a standardized Model-Context-Protocol interface. The server supports operations such as document creation, reading, updating, deletion, advanced search, and team statistics retrieval, making it ideal for AI-powered workflows. Inspired by Figma-Context-MCP, it facilitates contextual awareness and dynamic knowledge management for AI applications.

31 13 MCP

9

Rember MCP

Let Claude create and manage flashcards from your chats and PDFs using Rember's spaced repetition.

Rember MCP enables integration between Claude and the Rember platform using the official Model Context Protocol (MCP). It allows users to generate flashcards from conversations or PDF documents and manage them with Rember's spaced repetition system. The tool can be run as a local MCP server which is easily configurable within Claude Desktop. It emphasizes effective tool descriptions, user guidance, and robust error handling strategies.

57 7 MCP

10

MCP Miro Server

Miro board integration for AI assistants via Model Context Protocol.

MCP Miro Server provides a standardized MCP server interface to the Miro platform, enabling AI assistants to access and manage Miro boards programmatically. It supports a wide range of board and item operations, including creating, listing, updating, and deleting boards and their contents. Secure OAuth token access ensures integration with users’ Miro accounts. Designed to work seamlessly with AI tools like Claude Desktop, it allows efficient and automated Miro workspace management.

57 16 MCP

11

Raindrop.io MCP Server

Enable LLMs to manage and search Raindrop.io bookmarks via the Model Context Protocol.

Raindrop.io MCP Server is an integration that allows large language models to interact with Raindrop.io bookmarks using the Model Context Protocol. It provides tools to create and search bookmarks, including filtering by tags, and is designed for interoperability with environments like Claude for Desktop. Installation can be done via Smithery or manually, and configuration is managed through environment variables. The project is open source and optimized for secure, tokenized access to Raindrop.io.

63 15 MCP

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Notion MCP Server

Enable LLMs to interact with Notion using the Model Context Protocol.

Notion MCP Server allows large language models to interface with Notion workspaces through a Model Context Protocol server, supporting both data retrieval and editing capabilities. It includes experimental Markdown conversion to optimize token usage for more efficient communication with LLMs. The server can be configured with environment variables and controlled for specific tool access. Integration with applications like Claude Desktop is supported for seamless automation.

834 154 MCP

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Jotdown

MCP Server for Notion Page Creation and mdBook Generation

Jotdown is an MCP server enabling large language models to interact seamlessly with Notion and generate markdown books (mdBooks). It allows LLMs to create or update Notion pages and manage the entire process of markdown book creation, including structure and navigation. Leveraging the Model Context Protocol, it provides tools for consistent and intelligent context handling between LLMs and external content platforms.

19 4 MCP

14

mcp-datetime

Datetime formatting service MCP server for Claude Desktop App

mcp-datetime provides a datetime formatting service implemented as an MCP server for integration with the Claude Desktop Application. It offers generation of current date and time strings in various formats, including standard, Japanese, ISO, and filename-friendly outputs. The server exposes a 'get_datetime' tool for easy retrieval of formatted dates and times with support for timezone handling and multi-language output. Seamless integration and Python packaging facilitate installation and extensibility.

25 12 MCP

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mcp-pandoc

Seamless document format conversion via the Model Context Protocol.

mcp-pandoc is a Model Context Protocol (MCP) server for document format conversion powered by Pandoc. It enables bidirectional transformation of content between various document formats while preserving structure and formatting. Designed for integration in AI workflows, it allows standardized and programmatic conversion suitable for large language models and tool-augmented assistants. The project exposes conversion functionality both by direct content submission and via input files.

445 57 MCP

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dicom-mcp

A Model Context Protocol server for managing and querying DICOM medical imaging data.

dicom-mcp enables AI assistants and tools to query, read, and transfer data on DICOM servers, such as PACS and VNA systems. It integrates with MCP-compatible clients, offering tooling for searching patient records, retrieving medical reports, and sending image data to analysis endpoints. Configurable via YAML, it streamlines operations on DICOM databases for research and development in medical imaging. It is explicitly designed for interoperability with LLM-based AI workflows.

74 21 MCP

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FastMCP LaTeX Server (tex-mcp)

A microservice for rendering LaTeX and templates to PDF via the Model Context Protocol.

FastMCP LaTeX Server is a microservice designed to render raw LaTeX or Jinja2 template documents and compile them into PDF files. It exposes a suite of five MCP-compatible tools for document rendering, template management, and artifact handling. The service can be run locally or integrated seamlessly with Claude Desktop, supporting both stdin/stdout MCP communication and HTTP-based transport. Output artifacts, including .tex and .pdf files, are generated in a dedicated directory, and a variety of ready-made templates are provided for easy customization.

4 2 MCP

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Markdownify MCP Server

Convert diverse files and web content into Markdown via the Model Context Protocol.

Markdownify MCP Server offers a protocol-based server that transforms various file types—including PDF, images, audio, DOCX, XLSX, and PPTX—as well as web content like YouTube videos, Bing search results, and web pages into Markdown format. The server exposes a suite of conversion tools through a standardized interface for easy integration with applications. Optional configuration allows retrieval of Markdown files from restricted directories, and the platform supports development customization for additional tool integration. Deployment and operation are straightforward with cross-platform support (with pending Windows improvements).

2,256 188 MCP

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MarkItDown

Convert diverse files into Markdown for seamless LLM integration.

MarkItDown is a lightweight Python utility for converting a wide range of file types—including PDF, Office documents, images, audio, websites, and more—into structured Markdown optimized for language models and text analysis tools. It includes an implementation of the Model Context Protocol (MCP) to facilitate integration with LLM applications, such as Claude Desktop. MarkItDown supports context-aware document conversions, prioritizing preservation of hierarchy and meaningful content, and can be used via CLI or as a library.

82,918 4,694 MCP

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Ebook-MCP

A Model Context Protocol server for conversational e-book interaction and AI integration.

Ebook-MCP acts as a Model Context Protocol (MCP) server enabling seamless interaction between large language model (LLM) applications and electronic books such as EPUB and PDF. It standardizes APIs for AI-powered reading, searching, and managing digital libraries. Through natural language interfaces, it provides smart library management, content navigation, and interactive learning within digital books. Ebook-MCP integrates with modern AI-powered IDEs and supports multi-format digital book processing.

132 23 MCP

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Content Core

AI-powered content extraction and processing platform with seamless model context integration.

Content Core is an AI-driven platform for extracting, formatting, transcribing, and summarizing content from a wide variety of sources including documents, media files, web pages, images, and archives. It offers intelligent auto-detection and engine selection to optimize processing, and provides integrations via CLI, Python library, Raycast extension, macOS Services, and the Model Context Protocol (MCP). The platform supports context-aware AI summaries and direct integration with Claude through MCP for enhanced user workflows. Users can access zero-install options and benefit from enhanced processing capabilities such as advanced PDF parsing, OCR, and smart summarization.

85 20 MCP

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File Merger MCP Server

Efficiently and securely merge multiple files through an MCP-compatible server.

File Merger MCP Server is a utility that enables fast and secure merging of multiple files into a single output using a standardized MCP server interface. It provides detailed merge summaries, enforces directory access restrictions for enhanced security, and exposes tools for file merging and directory listing via MCP-compatible API endpoints. Designed for integration with systems like Claude Desktop, it streamlines file combination tasks while maintaining strict directory access controls.

23 13 MCP

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MCP Content Summarizer Server

Intelligent multi-format content summarization via MCP interface.

MCP Content Summarizer Server provides intelligent summarization of various content types including text, web pages, PDF documents, and EPUB books using Google's Gemini 1.5 Pro model. Through the Model Context Protocol, it supports customizable, multi-language summaries with options for style and focus. It is designed for integration with applications as an MCP server and offers tools for both summarization and testing. The solution maintains key information while producing concise and context-aware summaries from diverse content sources.

142 23 MCP

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Urlbox MCP Server

Screenshot, PDF, HTML, and markdown generation MCP for websites.

Urlbox MCP Server enables AI clients to generate website screenshots, PDFs, and extract HTML or markdown from web pages via the Urlbox Screenshot API. It supports automated extraction of metadata, cookies, and allows local file downloads. The server is designed to be integrated with LLMs, which can use its tools to capture and process web content on demand via standardized MCP interfaces. Environment variable configuration secures API access, and multiple formats are supported for flexible output.

1 1 MCP

25

ArXiv MCP Server

Seamless AI access to arXiv papers via MCP interface

ArXiv MCP Server enables AI assistants to search, retrieve, and interact with research papers from arXiv using the Model Context Protocol. It provides programmatic access for paper search, download, reading, and management, supporting integration with MCP-compatible clients. The solution offers both installation via Smithery and manual setup, along with tools for efficient paper handling. Local storage ensures quick access to previously downloaded papers and relevant research prompts.

1,863 134 MCP

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mcp

Universal remote MCP server connecting AI clients to productivity tools.

WayStation MCP acts as a remote Model Context Protocol (MCP) server, enabling seamless integration between AI clients like Claude or Cursor and a wide range of productivity applications, such as Notion, Monday, Airtable, Jira, and more. It supports multiple secure connection transports and offers both general and user-specific preauthenticated endpoints. The platform emphasizes ease of integration, OAuth2-based authentication, and broad app compatibility. Users can manage their integrations through a user dashboard, simplifying complex workflow automations for AI-powered productivity.

27 6 MCP

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box-mcp-server

Expose your Box files to AI with a Model Context Protocol server.

box-mcp-server lets users connect their Box accounts to AI applications via the Model Context Protocol (MCP). It securely authenticates to Box with enterprise credentials or developer tokens and serves file search and reading capabilities to downstream clients. Designed for use with Claude Desktop and the MCP Inspector, it provides seamless integration of Box documents into AI workflows.

10 11 MCP

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MCP Zotero

Model Context Protocol server for seamless Zotero integration with AI tools.

MCP Zotero provides a Model Context Protocol server enabling AI models such as Claude to access and interact with Zotero libraries. Users can securely link their Zotero accounts and perform actions including listing collections, retrieving papers, searching the library, and getting details about specific items. Integration is designed for both standalone operation and as an extension for tools like Claude Desktop.

137 17 MCP

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PythonAnywhere Model Context Protocol Server

Bridge AI-powered tools with PythonAnywhere for secure, programmatic environment management.

PythonAnywhere Model Context Protocol Server implements the MCP, allowing AI clients and automation tools to securely manage files, web apps, and scheduled tasks within a PythonAnywhere account. It offers a standardized interface to perform core operations like editing files, deploying or managing web apps, and handling scheduled jobs with fine-grained access control. Designed for integration with tools such as Claude Desktop, GitHub Copilot, and Cursor, it ensures auditability of actions and supports multiple installation workflows.

8 4 MCP

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Apple Books MCP

Model Context Protocol server for integrating and managing Apple Books data with AI assistants.

Apple Books MCP is a server implementation of the Model Context Protocol (MCP) that enables AI assistants to access, organize, and interact with Apple Books data such as collections, books, highlights, notes, and annotations. It provides standardized tools for retrieving and searching book-related data, supporting integration with platforms like Claude Desktop. Designed for easy setup with Python or uv, it facilitates context-aware AI capabilities for reading and annotation workflows.

33 5 MCP

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Outsource MCP

Unified MCP server for multi-provider AI text and image generation

Outsource MCP is a Model Context Protocol server that bridges AI applications with multiple model providers via a single unified interface. It enables AI tools and clients to access over 20 major providers for both text and image generation, streamlining model selection and API integration. Built on FastMCP and Agno agent frameworks, it supports flexible configuration and is compatible with MCP-enabled AI tools. Authentication is provider-specific, and all interactions use a simple standardized API format.

26 5 MCP

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GIS MCP Server

Empower AI with advanced geospatial operations via Model Context Protocol.

GIS MCP Server provides a Model Context Protocol (MCP) server implementation that enables Large Language Models to access and perform sophisticated GIS operations. It bridges AI assistants with Python geospatial libraries such as Shapely, GeoPandas, PyProj, Rasterio, and PySAL. The server supports a wide range of spatial analysis, coordinate transformations, raster and vector data processing, and geospatial intelligence tasks. By integrating with MCP-compatible clients, it enhances AI tools with precise and extensible spatial capabilities.

70 21 MCP

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WebScraping.AI MCP Server

MCP server for advanced web scraping and AI-driven data extraction

WebScraping.AI MCP Server implements the Model Context Protocol to provide web data extraction and question answering functionalities. It integrates with WebScraping.AI to offer robust tools for retrieving, rendering, and parsing web content, including structured data and natural language answers from web pages. It supports JavaScript rendering, proxy management, device emulation, and custom extraction configurations, making it suitable for both individual and team deployments in AI-assisted workflows.

33 13 MCP

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Context Apps MCP

AI-powered productivity suite unified by the Model Context Protocol.

Context Apps MCP is an AI-powered productivity suite that connects Todo, Idea, Journal, and Timer applications through the Model Context Protocol, enabling smart, context-driven workflows with apps like Claude Desktop and other MCP-compatible clients. It allows users to manage tasks, develop ideas, analyze journals, and optimize productivity using AI, all accessible and integrated via MCP-compliant endpoints. The suite ensures secure authentication via Apple ID OAuth, provides end-to-end encrypted communication, and offers users complete control over their data.

5 2 MCP

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Box MCP Server (Remote)

Securely connect AI agents to Box content and Box AI using the Model Context Protocol.

Box MCP Server (Remote) enables AI agent platforms to securely interact with Box data and AI-powered tools via the Model Context Protocol. It supports OAuth-based authentication and provides various capabilities, including user identification, file and folder operations, and access to Box AI tools. The service exposes an endpoint for easy integration by MCP-compatible clients while ensuring data never leaves the Box environment. It offers both admin console and developer console setup options and comprehensive documentation for connection.

0 3 MCP

36

Druid MCP Server

Comprehensive Model Context Protocol server for advanced Apache Druid management and analytics

Druid MCP Server provides a fully MCP-compliant interface for managing, analyzing, and interacting with Apache Druid clusters. Leveraging tools, resources, and AI-assisted prompts, it enables LLM clients and AI agents to perform operations such as time series analysis, statistical exploration, and data management through standardized protocols. The server is built with a feature-based architecture, offers real-time communication via multiple transports, and includes automatic discovery and registration of MCP components.

9 4 MCP

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Vectorize MCP Server

MCP server for advanced vector retrieval and text extraction with Vectorize integration.

Vectorize MCP Server is an implementation of the Model Context Protocol (MCP) that integrates with the Vectorize platform to enable advanced vector retrieval and text extraction. It supports seamless installation and integration within development environments such as VS Code. The server is configurable through environment variables or JSON configuration files and is suitable for use in collaborative and individual workflows requiring vector-based context management for models.

97 21 MCP

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Developer MCP Server

A powerful MCP server for developer tools including file editing, shell commands, and screen capture.

Developer MCP Server is a general purpose server that implements the Model Context Protocol, offering tools for developers such as file editing, shell command execution, and screen capturing. Built with the rmcp crate, it provides secure and cross-platform operations with file access controls that respect gitignore patterns. The server integrates seamlessly with compatible MCP clients like Claude Desktop and supports advanced workflow management features. Security, workflow branching, and context preservation make it suitable for complex problem-solving and development automation.

16 7 MCP

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mcp-read-website-fast

Fast, token-efficient web content extraction and Markdown conversion for AI agents.

Provides a Model Context Protocol (MCP) compatible server that rapidly fetches web pages, removes noise, and converts content to clean Markdown with link preservation. Designed for local use by AI-powered tools like IDEs and large language models, it offers optimized token usage, concurrency, polite crawling, and smart caching. Integrates with Claude Code, VS Code, JetBrains IDEs, Cursor, and other MCP clients.

111 18 MCP

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MCP Text Editor Server

A line-oriented text editor server implementing the Model Context Protocol for efficient and safe file editing.

MCP Text Editor Server provides line-based text file editing capabilities through a Model Context Protocol-compliant API. It enables efficient partial file access, robust conflict detection, and multi-file atomic operations, optimized for integration with large language model tools. With flexible character encoding support and concurrent editing safeguards, it is suited for collaborative and automated environments requiring reliable and token-efficient file manipulation.

175 22 MCP

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Jupyter MCP Server

Real-time, context-aware MCP server for managing and interacting with Jupyter Notebooks.

Jupyter MCP Server is an implementation of the Model Context Protocol (MCP) designed to enable AI-driven, real-time management and interaction with Jupyter Notebooks. It offers context-aware capabilities, smart execution features, and multimodal output handling, seamlessly integrating with JupyterLab and supporting multiple notebooks simultaneously. The server is compatible with any MCP client and can work with local or hosted Jupyter deployments.

765 127 MCP

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Aiven MCP Server

Model Context Protocol server enabling LLMs to access and manage Aiven cloud data services.

Aiven MCP Server implements the Model Context Protocol (MCP) to provide secure access to Aiven's PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch services. It enables Large Language Models (LLMs) to seamlessly integrate and interact with these cloud data platforms, supporting full stack solution development. The server offers streamlined tools for project and service management via standardized APIs and supports integration with platforms like Claude Desktop and Cursor. Environment variable configuration and explicit permission controls are used to ensure secure and flexible operations.

11 11 MCP

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LLM Context

Reduce friction when providing context to LLMs with smart file selection and rule-based filtering.

LLM Context streamlines the process of sharing relevant project files and context with large language models. It employs smart file selection and customizable rule-based filtering to ensure only the most pertinent information is provided. The tool supports Model Context Protocol (MCP), allowing AI models to access additional files seamlessly through standardized commands. Integration with MCP enables instant project context sharing during AI conversations, enhancing productivity and collaboration.

283 26 MCP

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Volatility MCP

AI-assisted memory forensics via standardized APIs and MCP clients

Volatility MCP integrates the Volatility 3 framework for memory image analysis with a FastAPI backend, exposing forensic plugins as RESTful APIs. Featuring Model Context Protocol (MCP) support, it enables seamless interaction with AI assistants like Claude Desktop for advanced memory forensics. The platform connects memory artifacts to AI or web applications, offering natural language driven analysis and automation. Designed for security analysts and forensic professionals, it supports key Volatility plugins such as pslist and netscan.

36 5 MCP

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MCP Atlassian

AI-powered MCP server integrating Confluence and Jira workflows.

MCP Atlassian serves as a Model Context Protocol (MCP) server interface for Atlassian products such as Confluence and Jira, supporting both cloud and server/data center deployments. It enables AI assistants to access, search, and update Atlassian data contextually via standardized MCP endpoints. The integration streamlines tasks like intelligent issue filtering, documentation creation, and context-driven updates directly through natural language. Multiple authentication modes, including API tokens and OAuth 2.0, are supported for secure connectivity.

3,574 740 MCP

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FHIR MCP Server

A Model Context Protocol server for seamless interaction with FHIR resources and AI tools.

FHIR MCP Server implements a full Model Context Protocol server, enabling large language model agents to perform comprehensive CRUD operations on FHIR-compliant healthcare data. It offers standardized integration with various clinical data sources, natural-language query capabilities, and supports secure authentication via OAuth2. The server includes semantic search, AI-powered document processing, terminology resolution, Docker deployment, and is optimized for use with MCP-compatible clients like Claude Desktop.

34 5 MCP

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mcp-server-templates

Deploy Model Context Protocol servers instantly with zero configuration.

MCP Server Templates enables rapid, zero-configuration deployment of production-ready Model Context Protocol (MCP) servers using Docker containers and a comprehensive CLI tool. It provides a library of ready-made templates for common integrations—including filesystems, GitHub, GitLab, and Zendesk—and features intelligent caching, smart tool discovery, and flexible configuration options via JSON, YAML, environment variables, or CLI. Perfect for AI developers, data scientists, and DevOps teams, it streamlines the process of setting up and managing MCP servers and has evolved into the MCP Platform for enhanced capabilities.

5 1 MCP

48

Meta Ads MCP

AI-powered Meta Ads campaign analysis and management via MCP

Meta Ads MCP is a Model Context Protocol (MCP) server for managing, analyzing, and optimizing Meta advertising campaigns. It enables AI interfaces, such as LLMs, to retrieve ad performance data, visualize creatives, and provide strategic insights across Facebook, Instagram, and related platforms. The solution supports integration with platforms like Claude and Cursor, leveraging Meta's public APIs to deliver actionable insights and campaign management capabilities. Authentication options include interactive login and token-based flows for various MCP clients.

342 86 MCP

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Maigret MCP Server

OSINT username and URL search server for the Model Context Protocol.

Maigret MCP Server provides Model Context Protocol (MCP) integration for the Maigret OSINT tool, enabling AI and context-aware applications to search for usernames across hundreds of social networks and analyze URLs. Designed for seamless operation with MCP-compatible clients like Claude Desktop, it supports multiple output formats and advanced filtering options. The server can be installed via Docker or npm, offers Docker-based deployment for consistent performance, and facilitates responsible OSINT research.

205 29 MCP

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mcpmcp-server

Seamlessly discover, set up, and integrate MCP servers with AI clients.

mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

17 6 MCP

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