AI Company
AI Company is an MCP server that adds productivity tools to AI assistants such as Claude Desktop, Claude Code and Cursor. Multi-agent team operating system for Claude Code. It has 370 GitHub stars, is released under the MIT license and runs locally with uvx ai-team-os.
- Productivity
- MIT
- Actively maintained
Install AI Company
Generated from the server's published package. Replace your-value with your own values.
Claude Desktop
{
"mcpServers": {
"ai-company": {
"command": "uvx",
"args": [
"ai-team-os"
]
}
}
}Settings > Developer > Edit Config. macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\. Restart Claude Desktop afterwards.
Claude Code
claude mcp add --transport stdio ai-company -- uvx ai-team-osCursor
{
"mcpServers": {
"ai-company": {
"type": "stdio",
"command": "uvx",
"args": [
"ai-team-os"
]
}
}
}Project file; use ~/.cursor/mcp.json to enable it in every project.
VS Code
{
"servers": {
"ai-company": {
"type": "stdio",
"command": "uvx",
"args": [
"ai-team-os"
]
}
}
}Config formats checked against the official docs on Oct 7, 2026: modelcontextprotocol.io (opens in a new tab), code.claude.com (opens in a new tab), cursor.com (opens in a new tab), code.visualstudio.com (opens in a new tab).
Tools (40)
Parsed from the Tools section of the README; check the repository for the current list.
team_statusGet team details and member status
team_listList all teams
agent_update_statusUpdate recorded Agent status
agent_listList team members
agent_template_listGet available Agent template list
agent_template_recommendRecommend the best Agent template based on task description
task_runExecute a task with full execution recording
task_statusQuery task execution status
task_createCreate a new task (autostart supported; tasktype is accepted but retired — a no-op kept for backward compatibility)
task_updatePartial update of task fields with auto timestamps
task_memo_addAdd an execution memo to a task
task_memo_readRead task history memos
task_list_projectList all tasks under a project
meeting_createCreate a structured meeting (8 templates, keyword auto-select)
meeting_send_messageSend a meeting message
meeting_read_messagesRead meeting records
meeting_concludeSummarize meeting conclusions
meeting_template_listGet available meeting template list
meeting_listList all meetings
meeting_updateUpdate meeting metadata
channel_sendSend a message to a channel (team:/project:/global) with @mention support
channel_readRead messages from a channel
channel_waitReplay a scoped inbox, then wait for a peer message over WebSocket; read-only, no automatic ACK
channel_mentionsGet unread @mentions for an agent
debate_startStart a structured 4-round debate (Advocate→Critic→Response→Judge)
debate_code_reviewStart a code review debate session
failure_analysisFrozen: record a failed task's root cause
decision_logLog a decision to the cockpit timeline
context_resolveResolve current context and retrieve relevant background information
memory_searchSearch team memory — recency-window recall within scope + pure-Python BM25 rerank (Chinese bigram, no embeddings)
memory_addWrite a direction-layer memory (preference/correction/design intent, 4 kinds; bucket quotas 1200/1500/300 chars, <=400…
memory_invalidateExplicitly invalidate a direction-layer memory (by id or unique substring; invalidate, never delete — auditable);…
memory_listList shared direction-layer entries, optionally filtered by kind
memory_reconcile_candidatesOn-demand reconcile coarse pass (zero-LLM): BM25-paired candidate groups + direction-layer inventory + promotion…
memory_reconcile_applyApply agent-confirmed reconcile operations (merge / invalidate / score / promote); idempotent, size guardrails…
unified_searchThree-arm RRF search across memos / reports / tasks — BM25 full-text + knowledge-graph fanout + exact ID match
link_queryQuery the cross-domain reference graph by node (what references this / what does this reference)
link_traceTrace a reference chain from any OS ID (wf_id / commit / task uuid) with evidence snippets
model_config_getRead observed Claude Code model names and its startup default
model_config_setSet Claude Code's startup default with protected writes to its settings; does not control Codex
About AI Company
AI Team OS is a shared operating layer for Claude Code and Codex. Keep tasks, project memory, reports and team messages in one place, and follow work across sessions in one Dashboard. Each host keeps its native agent tools; the OS provides the durable record that makes their work understandable and reusable.
- agent-framework
- ai-agents
- claude
- claude-code
- dashboard
- fastapi
- mcp
- python
- react
- task-management
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What is AI Company?
AI Company is an MCP server that adds productivity tools to AI assistants such as Claude Desktop, Claude Code and Cursor. Multi-agent team operating system for Claude Code. It has 370 GitHub stars, is released under the MIT license and runs locally with uvx ai-team-os. The source code is at github.com/CronusL-1141/AI-company.
How do I install the AI Company MCP server?
Add the command uvx ai-team-os to your MCP client: put it in claude_desktop_config.json for Claude Desktop, run claude mcp add for Claude Code, or add it to .cursor/mcp.json (Cursor) or .vscode/mcp.json (VS Code). The snippets on this page are ready to paste.
Is AI Company free?
The server is open source under the MIT license, so running it is free. It does not declare any required API key.
Is AI Company actively maintained?
The most recent commit was on Sep 30, 2026. The latest release is v1.15.0, published Sep 30, 2026. appsgit only lists MCP servers with a commit in the last six months and re-checks every server daily.