"Keynote MCP (Model Context Protocol) Server" matching MCP servers:

A Python-based server for managing and analyzing code context for AI-assisted development. Provides real-time code analysis, project structure analysis, dependency tracking, and secure API endpoints.

Apple keynote mcp for local editing

A Model Context Protocol server that enables AI assistants to control Keynote presentations through AppleScript automation, supporting slide operations, theme-aware content management, and export functions.

A Model Context Protocol server that enables AI assistants to control Apple Keynote presentations through AppleScript automation, supporting comprehensive slide creation, management, and content operations.

Local macOS MCP server that reads, edits, and exports Apple Keynote presentations via JXA. Enables Claude to visually analyze slides, apply design changes, and iterate on presentations directly.

Summarizes Slack activity and GitLab merge requests with OpenAI to help generate daily standups, weekly reports, or quarterly check-ins.

Enables harvesting assets from Apple Keynote decks, including PDF export, previews, extractable text, embedded images, and manifests through MCP resources and tools.

A lightweight MCP server for semantic search over markdown knowledge bases, enabling AI coding agents to index, search, and answer questions from local markdown documents.

An MCP server that integrates AI retrievals with NASA's Common Metadata Repository (CMR), allowing users to search NASA's catalog of Earth science datasets through natural language queries.

A conversational application server that integrates LLM capabilities via Ollama with vector memory context, supporting multiple users, sessions, automatic history summarization, and a plugin system for executing real actions.

Enables AI assistants to directly manage Anki flashcards, decks, notetypes, tags, and media, with support for batch operations, searches, and deck exports via file-based input/output.

Provides full programmatic control over Apple Keynote through the Model Context Protocol, enabling creation, editing, presenting, and exporting of presentations via natural language.

A server that allows users to query and analyze cloud cost data from Cloudzero using natural language through Large Language Models.

Enables querying Odoo's model registry (fields, inheritance, methods) without a database connection by loading the registry in-memory.

Tracks protocol adherence and maintains audit trails for Claude sessions, providing tools for logging steps, activities, and violations, and computing compliance scores.

A comprehensive MCP server for managing AI-assisted Dungeons & Dragons campaigns, featuring tools for character sheets, combat tracking, and world-building. It enables players and DMs to interact with 5e game mechanics and query personal PDF rulebooks using RAG capabilities.

An intelligent MCP server that acts as an AI tech lead for coding agents, providing expert validation, impact analysis, and strategic guidance before code changes are made.

Enables multi-agent coordination with file locking, shared registry, async messaging, and architectural decision logging via MCP tools.

This MCP server provides a local-first control plane for coding agents, enabling task routing, contract management, and shared learning across multiple AI vendors via markdown files.

Routes each prompt to the best-fitting Claude model via a local, zero-cost classifier, exposing a single smart_prompt tool for MCP clients.