#Collaboration

The best free Gantt chart maker — no signup, works offline, real-time collaboration. Its built-in MCP server lets Claude (web, Desktop, or Code) list, create, and edit your project timelines by chatting, using your own OAuth account.

Collective procedural-knowledge network for AI agents — the shared route map of the agent economy. Before attempting a non-trivial task (API integration, multi-step procedure), agents query Waymark for verified routes: step sequences and known gotchas other agents documented. After finishing, they attest the outcome, building trust scores by consensus. 100+ expert routes live across Stripe, GitHub, Slack, Salesforce, Kafka, Postgres and ~50 more domains. Blind-graded benchmark: 3.6× more known failure modes avoided, +45% first-try success (waymark.network/benchmark). Remote streamable-HTTP server — no install: https://mcp.waymark.network/mcp · Live dashboard: mcp.waymark.network/dashboard

Give teams and AI assistants a shared understanding of goals, projects, decisions, and risks.

让你的Agent来跟全世界对接需求，你的AI助理帮你把需求传达出去，又帮你接受别人给你的需求。 需求链平台是将整个人类联结在一起的一个工具，组成一个网络。 告诉你的AI助理，你的需求，Agent会在需求链平台上寻找到能解决你需求的人。 别人也会将他的需求传达给你，你接受你能处理的需求，你也可以将这个需求拆分，变成数个小的需求，继续放在需求链上传递下去。 比如说你想要一种技术的创新，一个人工智能的新算法，或者是需要一种新材料，想要一种新的解决方案，去解决工作生活中的真实痛点。 你或许有一个天才的想法，需要有人与你一起去验证是否可行。 或者你已经有一套成功的技术，需要让全世界都知道你的方案。 总之每个人都有各种需求需要解决，而需求链平台，就是帮你解决各种需求而存在的机制。 赶快打开你的Agent，告诉他，你的需求吧。 此需求链平台是地球人类共有的基础设施，永久开源，中立，免费。 Let your Agent connect with demands from across the globe. Your AI assistant will forward your requests and receive demands from others for you. The Demand Chain Platform is a tool that unites all humanity into a connected network. Simply tell your AI assistant what you need, and your Agent will find people on the platform who can address your requirements. Others will also send their demands to you. You may take on tasks you are capable of handling, or split a single demand into several smaller ones to keep them circulating on the Demand Chain. For instance, you may seek technological innovation, a new AI algorithm, advanced new materials, or practical solutions to real problems in work and daily life. You might have a brilliant idea and need partners to verify its feasibility. Or you possess proven technologies and wish to share your solutions with the whole world. Everyone has various needs to fulfill, and the Demand Chain Platform is built precisely for this purpose. Launch your Agent and submit your demands right away. As a shared infrastructure for all people on Earth, this Demand Chain Platform is permanently open-source, neutral and free of charge.

Voyei is a collaborative travel-planning app (Brazil-first, PT-BR). Its native MCP server lets you connect your own AI client — Claude, ChatGPT, Cursor or any MCP-compatible client — and have it read and edit your trips in real time, using your AI plan (Voyei never charges per token nor trains on your data). The AI can create and edit trips (days auto-generated), add and schedule places, manage reservations (hotels, restaurants, tours, events) and transport (flights, trains, cars, cruises), build budgets with expense-splitting, assemble packing lists, collaborate (shared notes, polls, messages, to-dos), update your travel Atlas and journey log, and search places & weather. Exposes 78 tools and 15 read resources, with granular OAuth scopes (read/write per area).

One shared AI setup for your team. Stop losing prompts in chats and docs. Save one shared setup, tailor it for your team, and use it across ChatGPT, Codex, Claude, Figma, and more.

Bridge Town is an MCP-first platform for building financial models as code. Connect any agent: Claude.ai, Codex, Opencode, Cursor. Agents can create financial models, edit files, run sandboxed forecasts, query data, work with Google Sheets, manage versions, collaborate, and publish outputs through a hosted Streamable HTTP MCP server.

Airtable is the database and operations layer for your agents — whether running product, marketing, sales, ops, HR, or a custom business app. It combines structured data with multiplayer visual surfaces (grid, kanban, calendar, gallery, timeline) humans and agents share — plus sync integrations to Jira, Salesforce, Zendesk, Google Drive, Databricks, and the rest of your stack, all backed by enterprise governance. This plugin makes Claude fluent in Airtable: creating bases and schema, working with records, and sharing UI for collaboration. Bundles the official Airtable MCP server.

Tells you how you and your Claude agent actually work together. Reads your CLAUDE.md, hooks, skills, memory, and scheduled tasks — then writes you a letter. Three core tools: collab (collaboration scoring + lint), security (secrets scan, prompt-injection surfaces, rule conflicts), and health (orphan jobs, overlap, structural drift). Local-only — no API keys, no data leaves your machine. Source: github.com/bleedmode/dearuser

AI-native office suite MCP server. Create, read, update docs, spreadsheets, and slides. 23 tools, real-time collaboration, multi-model AI.

AI-first file sharing and collaboration. 251 MCP tools give agents a full workspace: file storage, branded shares, comments, workflows, and built-in RAG. Free tier includes 50GB storage and 5,000 monthly credits, no credit card. Built by the team behind MediaFire. Works with Claude Desktop, Claude Code, Cursor, VS Code, Cline, and any MCP-compatible client. Connect via Streamable HTTP at https://mcp.fast.io/mcp or SSE at https://mcp.fast.io/sse. OAuth 2.0 PKCE authentication. Open source (Apache-2.0).

BasicOps MCP server for project management, tasks, notes, and team collaboration. Connect any MCP-compatible AI client (Claude, Cursor, Windsurf, etc.) to your BasicOps workspace and manage your work using natural language.

AI-native office suite MCP server — create, read, update docs, spreadsheets, and presentations via AI. 23 tools for full CRUD operations. Get your API key at mila.gg/api-keys

Realtime shared context for AI agents and humans — live API specs, DB schemas, and versioned contracts so every agent and teammate works from the same source of truth across repos.

Free markdown sharing and collaboration. Upload a markdown, get shareable links with view/edit/comment permissions. WYSIWYG editor, inline comments, no login required. API + MCP server for AI integration.

Give your AI long-term memory. Hjarni is a note-taking app with a built-in MCP server. Claude and ChatGPT can search, read, create, and organize your notes. Markdown, folders, tags, and custom AI instructions per folder.

MCP server that extracts decision intent from git history and protects intentional code from AI modification.

Collaborative decision-making platform for AI agents. Create decisions, compare options, vote, and collaborate — 28 tools for the full decision lifecycle.

ProjectBrain MCP provides project/task/decision/fact/skill/milestone/team-message tools for persistent AI project management.

Fast, sub millisecond, local on device long term memory for LLMs, Coding Tools and AI Agents. Recall exact details from yesterday of five years ago. Install in 5 minutes.

Persistent memory MCP server for Claude. Store decisions, code snippets, and knowledge that survives across sessions. Features semantic search, Git integration (auto-sync commits/PRs), task tracking, memory snapshots, and team collaboration.

Give AI agents read/write access to your Obsidian vault via MCP. Browse shared folders, read and create notes, search across vault content. Backed by Team Relay - a self-hosted collaborative server for Obsidian with real-time sync.

The AX-platform provides a unified platform for connecting and orchestrating multiple AI agents using the Model Context Protocol (MCP). Users bring their own agents and models (BYOA), register them via the PaxAI dashboard, and link them through secure, short-lived tokens. Once connected, agents can post messages, collaborate on structured tasks, and participate in shared workspaces. PaxAI enables remote agent control, cross-agent workflows, and scalable multi-tenant collaboration, making it the foundational layer for MCP-based ecosystems.

The Universal Hub for AI Agents aX Platform lets you bring any agent — regardless of framework — into a shared, secure workspace. Orchestrate, monitor, and co-create across private enclaves or public discovery spaces.

A comprehensive MCP server for Kanboard project management that provides tools for managing projects, tasks, users, comments, files, and more through the Kanboard API. Key Features: Project management (create, update, delete, list projects) Task management (create, update, delete, move, search tasks) User management (create, update, delete users) Comment system (create, update, delete comments) File management (upload, download, delete files) Swimlane and column management Tag management Metadata handling Search functionality Supported Kanboard API Methods: 50+ methods covering all major Kanboard functionality Language: Go License: MIT (as shown in your LICENSE.md) Requirements: Built executable (kanboard-mcp.exe for Windows) Kanboard instance with API access API credentials (API key or username/password) This MCP server provides a complete interface to Kanboard's project management capabilities through the Model Context Protocol, making it easy to integrate Kanboard functionality into AI assistants and other MCP-compatible applications.

A dynamic, visual kanban board that lets you collab with Claude, and updates in realtime!

Simple MCP server for AI collaboration protocol context injection

MCP server for

Dynamic Team Collaboration MCP Server for Smithery - Flexible crew synchronization with priority-based task management

Multi-Chat MCP Server is an open-source Python framework that enables integration of AI assistants into team chat environments, with support for multiple chat platforms like Google Chat, Slack, and Microsoft Teams. The core purpose is to bridge the gap between isolated AI tools and collaborative team workflows by allowing the AI to participate in conversations, share updates, fetch historical context, and respond to developer prompts directly within team messaging spaces. The project is built around the Model Control Protocol (MCP) concept, which facilitates structured communication between AI clients and external systems. In this case, it implements MCP to let AI assistants connect with messaging platforms. Google Chat integration is complete and production-ready. Other providers like Slack and Teams are scaffolded but not fully implemented yet. The server runs locally and is intended for organizational use, especially in environments where data privacy, security compliance, and full control over communication flows are important. This is particularly useful for organizations running on-premises LLMs or secure internal deployments, as the server does not rely on any third-party LLMs or cloud-hosted models by default. The architecture is modular, so additional chat platforms can be added by following the structure used for Google Chat. The project does not offer any end-user UI or GUI. It is a backend integration tool meant to be used with AI IDE clients (like Cursor or Claude) that understand how to interact with an MCP server.

This MCP server allows AI to use a number of functions from the Liveblocks REST API. For example, it can create, modify, and delete different aspects of Liveblocks such as rooms, threads, comments, notifications, and more. It also has read access to Storage and Yjs.

MCP server for Liveblocks.

Example Deployment for MCP Servers

Coco AI App - Search, Connect, Collaborate, Your Personal AI Search and Assistant, all in one space.

Look, a flock of geese! An MCP server and protocol for Goose agent collaboration.