"Notion - Productivity and Note-Taking App" matching MCP servers:

Enables AI assistants to interact with Notion workspaces through MCP, supporting database queries, page creation, web searches, and agent workflows with human-in-the-loop task approval.

An MCP server that translates human GUI actions into machine-executable commands, enabling AI agents to control real software applications like Zoom, Excel, and WeChat via natural language or API calls.

MCP server for the Neuralpunk.app Phase 1 slice, enabling AI agents to read approved capabilities, join resident debates, and propose Signals while preserving canon integrity.

Enables sub-100ms conversational turn-taking and barge-in handling for voice agents, integrating with Cartesia Sonic and ElevenLabs, and can be used by MCP-compliant clients like Claude Desktop and Cursor.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

An orchestrator MCP server that takes a plain-language app description and guides agents through a full workflow from intake to deployment, including design, audit, and maintenance.

Enables Claude Code or any MCP client to delegate hands-on coding work to OpenAI Codex over a persistent app-server process, keeping long-lived threads with follow-ups, async polling, approvals, steering, and interrupts. Supports native code review, resuming existing sessions, structured output, and parallel worktree-isolated tasks.

Bridges MCP clients such as Claude Code and Cursor to independent Codex app-server sessions, letting them start, poll, steer, review, compact, cancel, and answer prompts for asynchronous Codex tasks over local stdio or a remote authenticated WebSocket. Runs read-only by default, with workspace-write sandboxing only when a user explicitly enables it, and reports job status, model listing, and progress back to the client.

Enables MCP clients to start new Codex conversations and continue existing threads, exposing codex and codex-reply tools over stdio via the Codex app-server protocol.

A server that enables AI assistants to interact with Linear's project management tools through the Model Context Protocol, supporting features like searching, creating, and updating issues, adding comments, and retrieving user profiles and team information.

Generates compiled Flutter apps from JSON Product Requirements Documents. Exposes endpoints for PRD validation, schema, payment terms, and build status.

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

Enables Notion AI to interact with local files, execute shell commands, and delegate complex tasks to local AI agents. Provides file operations, command execution, and task delegation capabilities for local workspace management.

Enables Notion AI to invoke client-side local tools through MCP callbacks, bridging OpenAI-compatible chat completions to Notion's agent runtime and returning tool results for continuation.

Lets Notion's web AI invoke DeepSeek Harness native tools on a local machine over an authenticated MCP connection secured by OAuth with local consent. It exposes tool listing, schema inspection, direct tool execution, and optional task submission, monitoring, and cancellation with task receipts.

Enables a supervisor agent to create, coordinate, steer, inspect, and interrupt multiple Codex agents as a subagent pool within an MCP host, running them alongside the host's own subagents.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

MCP server for step-by-step mathematical reasoning and planning, enabling AI agents to execute calculations and perform GUI actions like opening PowerPoint.

A simple Model Context Protocol (MCP) server that integrates with Notion's API to manage my personal todo list through Claude.

Monitor failing GitHub Actions workflows, auto-fix them with OpenCode, and retry the run — driven by a workflow_run webhook, coordinated through an MCP server.

Enables automated research and trading on Polymarket prediction markets through a Notion dashboard, with AI-powered analysis and human-in-the-loop trade approval.

Production-oriented MCP gateway for managing Codex through a persistent codex app-server process, supporting threads, autonomous goals, approvals, and HTTP/stdio transports.

An AI-agent-first framework for building MCP servers that deliver interactive React widgets directly within AI chat interfaces like ChatGPT and Claude. It includes automated visual testing and a zero-config local development environment designed for autonomous agent workflows.

An MCP-based trivia game server where AI creates rounds with two true statements and one false 'twist' about various topics, letting players guess which statement is false.

A simple server that acts as a Master Control Program (MCP) for unified interaction with OpenAI and Anthropic (Claude) AI models through a single API endpoint.

A sovereign, six-layer permanent memory system that provides users with a structured and persistent personal knowledge base across VS Code, Claude, and ChatGPT. It utilizes a neural mesh architecture and ENGRAM O(1) lookup to ensure data ownership and constant-time memory retrieval.

A complete ChatGPT App implementation using MCP with OAuth2 authentication via Privy.io, enabling secure user authentication and interactive widgets rendered in ChatGPT.

Monitoring that agents set up for themselves — cron jobs, CI/CD pipelines and AI agent runs.

Provides persistent memory capabilities for AI assistants, enabling storage, recall, and analysis of information across conversations with intelligent memory management.

Enables AI agents to claim, heartbeat, submit, split, park, and resume atomic work-queue tasks, with fencing tokens and receipts, while storing and versioning records and content-addressed files through MCP.

An MCP server that allows AI agents to manage BuildBase resources (users, workspaces, subscriptions, projects) via 48 tools, with built-in agent authentication and discovery.

Local Model Context Protocol (MCP) stdio server built with the official TypeScript SDK for discovering coding agents, requesting work, messaging, and tracking handoffs through a local Scout broker. Requires Bun 1.3+ and scout setup; the root README now documents MCP client configuration, tools, and direct implementation/test links (PR #28), for high-trust local developer pilots.

Tamper-evident receipts for AI agent actions. The notary layer for agent-to-agent transactions.

Enables Grok Bot to connect to a local OpenScout broker through a hosted MCP gateway, allowing delegation of work, message exchange, and result tracking in one chat.

Local Markdown/HTML note-taking app with built-in MCP server, agentic workflow runtime engine, wikilinks, and state-machine approval gates.

Enables AI models to play a headless first-person shooter through MCP tool calls, receiving screenshots and structured game state (enemy distance, relative angle, health, ammo, events) while advancing the game in exact discrete tics between calls. Supports starting games, firing, using doors, switching weapons, and turning by precise degrees, with an inline viewer for watching the session.

Enables enterprise MCP clients and partner agents to execute tenant-isolated underwriting, claims, and compliance workflows with durable step checkpointing, evidence-grounded tool calls, and deterministic PDF citation receipts. It supports A2A task dispatch and MCP JSON-RPC operations while blocking cross-tenant access and ungrounded deliverables.

Enables Grok Bots to install, verify, build, seal, unseal, list, and update hash-pinned skill packs from static URLs, expanding skill capacity beyond template limits without executing pack content.

Exposes a synthetic issue tracker and pipeline warehouse as callable tools so an agent can answer operational questions about tickets, pipeline health, runs, incidents, and governed metrics with every claim cited to the exact tool call it came from. All writes are proposal-only, requiring human approval through a gated apply path that logs each step for audit.

Enables MCP agents to play chess locally, supporting join, state, legal moves, and move execution with per-session color ownership.