"How to read and write data in Zoho Sheet" matching MCP servers:

Enables AI agents to build and edit real HTML/CSS designs on a live canvas through 35 MCP tools, letting them inspect screenshots, computed styles and layout, then export production-ready React or Tailwind code. Humans can refine the same layers visually in a macOS editor.

Connects Zoho Projects with Claude AI to manage projects, tasks, time tracking, and comments through natural language conversations.

A local MCP server for creating, reading, and updating Google Sheets.

Enables AI agents to read, search, send, and organize mail, folders, messages, and threads through a local MCP server. It supports multiple data centers, attachments, and secure credential storage.

Enables writing to CellarTracker by moving bottles between bins or locations and logging consumption, with planning, execution, and verification of outcomes using an authenticated session.

MCP server for Zoho Mail that enables searching, reading, sending, and managing email messages across folders via natural language.

MCP server providing Claude read access to Zoho Mail for listing, searching, and reading emails, as well as saving drafts without sending them.

Enables managing bugs and test cases in Google Sheets via Claude Code, with tools to list, search, filter failed, and update test cases.

MCP server that converts file contents into compact, line-numbered PNG images for vision models to read, reducing token usage by roughly 7x for large files.

Enables Codex to rank available tools and skills, rerank code and documentation search results, and triage saved output artifacts using Jev-based relevance scoring while leaving final decisions to Codex.

A read-only MCP server for Slack that reads messages from channels the bot is invited to, without storing data. It provides tools to fetch channel history, thread replies, and resolve user IDs, with access controlled solely by channel invitations.

MCP server for writing Markdown report fragments to files with path safety and SHA-256 verification.

Enables MCP clients to open websites, capture screenshots at multiple breakpoints, and run automated design audits for issues like overflow, small tap targets, low contrast, missing alt text, tiny text, and clipped content.

An MCP relay that adds a use_jev tool to every connected server, letting the Jev model autonomously select and execute tool calls while the calling model supplies any required text values. It enables agents to delegate multi-step tool use across all configured MCP servers through a single unified interface.

A local MCP server that lets LLM agents read EPUB books and PDF documents with outline-first navigation, precise node reads, and local SQLite persistence.

A stdio MCP server that enables agents without native vision to ask an OpenAI-compatible vision model to describe, OCR, or extract structured data from images via a single tool.

A Model Context Protocol server that enables AI agents to programmatically create, modify, and manage Figma documents via a WebSocket bridge and Figma plugin.

Enables AI assistants and scripts to safely create, edit, query, and organize Figma designs—including frames, text, components, variables, styles, prototyping, and motion—through a local bridge to an open Figma plugin. Supports bulk operations, design tokens, live change events, and optional REST API tasks.

Enables AI agents to inspect UI screen recordings as token-efficient image sheets with changed regions boxed, single-frame flicker flagged, and speech aligned to frames. Exposes watch_video and zoom_video tools so agents can pull dense keyframes across any time range or one sharp full-resolution frame, all processed locally.

An MCP server that provides write access to Figma through the Plugin API, enabling AI agents to create, modify, and manage Figma designs programmatically.