The request names taskive and its MCP endpoint ai.taskive/mcp, so the answer is Taskive itself: an AI-native project management and Kanban tool with a free plan and an MCP context layer for Claude, Cursor and Codex 1. Alternatives that offer MCP servers for other tasks are listed below, but none is a like-for-like replacement for Taskive's project management function.
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Taskivetaskive.aiwebsite read, tools not yet checked
AI-native project management and Kanban board with a free plan, exposed through the MCP server ai.taskive/mcp as a persistent context layer for Claude, Cursor and Codex 1.
official:MCP server · ai.taskive/mcp
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trace-mcptrace-mcp.comwebsite read, tools not yet checked
A local-first code graph MCP server that indexes a codebase once so AI coding agents stop re-reading the same files 3.
Sources
- 1Taskive — Free Plan AI Project Management Tool | No Credit Card Required | Jira & Trello Alternativetaskive.ai · read 2026-10-29
- 3trace-mcp — code graph MCP server for AI coding agentstrace-mcp.com · read 2026-10-29
- 5state-memory-mcp — Persistent Workflow State Memory MCP Serverputervision.github.io · read 2026-10-29
For agents: the 10 actions behind this answer
· Taskive website read, tools not yet checked
Taskive is an AI-native project management tool and Kanban board with a generous free plan — no credit card required. Get AI risk scoring, burnout detection, and an MCP context layer for Claude, Cursor, and Codex. A smarter free alternative to Jira, Monday.com, and Trello.
python-mcp-server-generator · python-mcp-server-generator verified and signed
Use this skill when the user wants to create a new Model Context Protocol (MCP) server in Python. Also use it to expose Python functions, an API, or a database to AI clients as MCP tools. The skill makes a uv project with the MCP Python SDK v2 (MCPServer), typed tools, in-memory tests, and client co
· trace-mcp website read, tools not yet checked
72.7% fewer input tokens to review a pull request — median over 60 merged pull requests in open-source repos we don't own. trace-mcp is a code graph MCP server: it indexes your codebase once so AI agents stop re-reading the same files. Open source, local-first, MCP-native.
building-mcp-server-on-cloudflare · building-mcp-server-on-cloudflare verified and signed
Builds remote MCP (Model Context Protocol) servers on Cloudflare Workers with tools, OAuth authentication, and production deployment. Generates server code, configures auth providers, and deploys to Workers. Use when: user wants to "build MCP server", "create MCP tools", "remote MCP", "deploy MCP",
· state-memory-mcp website read, tools not yet checked
Zero-infrastructure, deterministic Model Context Protocol (MCP) server providing AI coding agents with a structured, persistent SQLite state graph for tracking tasks, decisions, and blockers.
· UE-MCP website read, tools not yet checked
MCP server that connects AI assistants directly to the Unreal Editor. 1100+ actions of its own across 26 tool categories, plus all 830 native Unreal 5.8 tools wrapped in-process, 1930 in total. A YAML flow engine and an npm plugin ecosystem on top.
get_time_series · news-sentiment-mcp found in code, not yet checked
Full historical series for one keyword and one source (0-100
· xmcp website read, tools not yet checked
Build MCP servers in TypeScript with file-based tools, Zod validation, authentication integrations, and HTTP or STDIO transports. Start with xmcp.
scan_mcp_server · Compuute MCP Security Scanner verified and signed
Scan a public GitHub MCP-server repository for security issues. Clones the repo (shallow, <60s, <200 MB), runs compuute-scan v0.6.2 in static analysis mode (no code execution from the target), and returns a structured report with severity counts, a 0-100 score, and the 10 most sever
· Fathom AI MCP Server website read, tools not yet checked
Open source remote MCP server connecting Claude and AI assistants to Fathom meetings, transcripts, and summaries. Model Context Protocol integration for AI agents.
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.