Enables AI clients to drive local video editing projects through a CEP bridge, covering media ingest, sequence and timeline editing, effects, keyframes, captions, markers, audio, color, and exports across hundreds of discoverable tools. Ships context resources, guided prompts, and higher-level assembly workflows for agent-driven editing.

This MCP server connects AI agents to antidetect browser profiles. It enables vision-based element interaction and complex automated workflows within the RATA/GHM Automate v2 ecosystem.

Enables users to prepare and validate market data, launch and control backtests, and retrieve results, causal explanations, and self-contained reports through stdio tools. It also supports polling or canceling jobs and running sweep, walk-forward, factor, and study research workflows with bounded pagination and reproducible artifacts.

Enables AI agents to operate real signed-in Chrome sessions per site, interact with any website through accessibility roles and names, and save successful workflows as reusable shortcut tools.

AI assistant and MCP server for Blender: visual chat, scene tools, multi-agent workflows. Works with OpenAI, ChatGPT, Claude, Gemini, Ollama, OpenCode. Blender AI addon and plugin, copilot for 3D, bpy Python scripting, MCP integration.

The fastest developer workflow for every AI coding agent. Live status, quick prompts, worktrees, and diff review from one tmux TUI. Discord: discord.gg/ecS88An7pF

A local-first personal knowledge layer for AI agents. Build evolving knowledge spaces with LLM Wiki, knowledge graphs, and agent workflows.

Fully async Rust TUI engine 🦀. For powering AI/LLM coding agents, Cloud/SSH workflows & interactive CLIs: non-blocking readline, inline dialogs, React/Elm-style full-screen TUI, Markdown editor, PTY multiplexing & rust-analyzer MCP server.

Cargo, the go-to-market platform, from your terminal or coding agent: find and verify work emails, enrich companies and contacts, score leads and sync them to your CRM (HubSpot, Salesforce) across 130+ integrations, run plays and workflows, and serve it a

Enables Google Gemini to autonomously read, write, search, and patch code files and run whitelisted developer commands inside a sandboxed local workspace for edit-and-verify coding workflows.

Zero-custody DeFi intelligence and control MCP server for AI agents, exposing Trail Heat, wallet and risk intelligence, swap and futures workflows, x402 access, and policy-gated execution. FarmDash never receives customer private keys.

Enables developers to register custom tool-calling functions, execute path-safe file operations within an isolated workspace, and keep in-memory memory and audit state for AI agent workflows.

Enables AI assistants to perform read-only scans of local projects, Git history, GitHub Actions workflows, machines, and GitHub accounts for supply-chain malware indicators, and to access cleanup and recovery guidance.

Enables MCP clients to identify connected drives, read/write and back up parameters, control speed and positioning, capture oscilloscope data, flash firmware, and run validation workflows through existing Drivesoft communication components.

This server provides a standardized interface for interacting with the NovelAI image generation API, enabling agents to build and execute complex image creation workflows. It supports various generation types, from text-to-image and inpainting to parameter configuration, while providing Anlas cost estimation and semantic tag search.

Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MC

An MCP client for Neovim that seamlessly integrates MCP servers into your editing workflow with an intuitive interface for managing, testing, and using MCP servers with your favorite chat plugins.

A Model Context Protocol (MCP) server for ATLAS, a Neo4j-powered task management system for LLM Agents - implementing a three-tier architecture (Projects, Tasks, Knowledge) to manage complex workflows. Now with Deep Research.

CoexistAI is a modular, developer-friendly research assistant framework . It enables you to build, search, summarize, and automate research workflows using LLMs, web search, Reddit, YouTube, and mapping tools—all with simple MCP tool calls or API calls or Python functions.

Run AI agent tasks in isolated sandboxes with a cost cap, saved workflows and scoped connections.

Racing telemetry, saved-run analysis, tracks, car-computer guidance and live pit-wall workflows.

Structured multi-step workflows that produce production-quality deliverables. Plan any task free.

Run the agents, teams and workflows of your Agentivity workspace from your AI assistant.

Free, read-only Apollo.io audit: duplicate accounts, double-enrolled contacts, stalled workflows.