How to Connect Claude and Cursor to Your Project Manager via Model Context Protocol
Tired of copying and pasting project tasks and blockers into your AI prompts? Learn how Model Context Protocol (MCP) lets Claude and Cursor query Taskive directly from your editor.
As developer tools become more AI-native, the biggest bottleneck to writing good code is context. Copying file structures, pasting error logs, and manually explaining what feature you are working on is a tedious experience.
With Model Context Protocol (MCP), you can connect your AI coding assistants—like Claude Desktop, Cursor, and Codex—directly to your project management system.
What is Model Context Protocol (MCP)?
Model Context Protocol is an open standard developed by Anthropic. It allows AI models to call secure local and remote tools to fetch structured, real-time context. Instead of guessing your active sprint goals or task descriptions, an MCP-enabled agent can query your project manager directly.
How Taskive Integrates as an MCP Server
Taskive is the first project management tool built with native MCP server capabilities. It exposes secure endpoints to your AI assistant:
get_project_memory(project_id): Summarizes team decisions and project architectural guidelines.list_tasks(project_id): Fetches the active backlog, filterable by status and assignee.search_context(query): Searches note archives and blockers.
By configuring your Claude or Cursor client to point to Taskive, you can simply type: "Check my in-flight tasks and write the test cases for the login form blocker."
The AI will call the Taskive API, retrieve the exact blocker description, check the requirements, and write correct code on the first try.
Setup Guide for Developer Teams
Setting up the MCP integration takes less than 2 minutes:
- Generate an API Token from your Taskive profile page.
- Add the Taskive server configuration to your
claude_desktop_config.jsonor Cursor settings. - Start querying your project state natively in chat.
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