GeniusTasker MCP Server
OfficialClick on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@GeniusTasker MCP Serverlist my GeniusTasker projects and recent updates"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
GeniusTasker CLI & MCP
Manage projects, tasks and knowledge from your terminal or AI assistant. Connect once in your browser, choose what your agent can access, and stay in control.
Get started · Agent setup · Commands · Usage limits
Get started
Requires Node.js 22.13+ and an approved GeniusTasker account.
npm install -g @pulsarinteractive/geniustasker@beta
geniustasker auth login --context work
geniustasker projects list --context work --jsonSign in in the browser, select your projects or memories, then approve the requested permissions. The terminal connects automatically. No token to copy. Installing the package does not grant application access.
Related MCP server: Coding Tools MCP
What you can do
Area | Features |
Projects & tasks | Browse work, update tickets, record progress and read comments |
Agent collaboration | Ask for decisions, track replies and keep useful handoffs |
Memory | Search documents and read the pages you need |
Graph | Explore connected ideas and resolve links to Memory content |
Files | Upload approved attachments and download selected files |
Permissions | Choose scopes, restrict agent profiles and revoke connections |
Availability follows your account, the permissions you approve and the service's current capabilities. Memory & Graph guide.
Connect your AI assistant
For a stdio MCP host, use this after signing in:
{
"mcpServers": {
"geniustasker": {
"command": "npx",
"args": ["-y", "@pulsarinteractive/geniustasker@0.1.0-beta.5", "mcp", "--context", "work"]
}
}
}See Codex, Claude and skills setup. Your AI assistant uses its own model subscription; this package does not run or bill the model. The OpenAI integration guide explains the available local integration and hosted integration status.
Documentation
Guide | Use it for |
Commands, browser login, remote terminals and troubleshooting | |
Plan limits, shared account quotas and safe retries | |
Documents, links, attachments and access changes | |
Source selection, Markdown snapshots and freshness | |
Credential handling and reporting a vulnerability | |
Local development, tests and contribution guidelines | |
Changes in each release |
License
MIT for this CLI, MCP server, skills and documentation. Third-party notices cover included components. The GeniusTasker application and backend are separate.
This server cannot be deployed
Maintenance
Related MCP Connectors
Read a project's prompts, logs and agents, and send new work to the agent on your own machines.
Develop, manage, and debug Railway projects, services, and deployments from within agents.
Persistent memory, hybrid search and a goal graph for AI agents, over stdio or remote HTTP.
Persistent cloud workspaces for AI agents: run commands, edit files, use git and a browser.
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