Project Management AI MCP

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Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/csoai-org-project-management-ai-mcp

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What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools

2 read · 0 write · 0 delete · 3 not yet classified

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Python package

Tools (5)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

• assess_risks

  Assess project risks and generate mitigation strategies. Args: project_name: Name of the project. risks: List of risks with keys: description, category (technical|resource|schedule|business|external), likelihood (1-5), impact (1-5). project_budget: Total project budget for financial impact estimation. deadline: Project deadline in YYYY-MM-DD format. Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit. Pro tier: unlimited. No aut…

• decompose_task

  Break down a task into actionable subtasks with effort estimates. Args: title: Task title. description: Task description/requirements. task_type: frontend_feature | backend_api | database_migration | bug_fix | documentation | devops_task | research_spike. complexity: trivial | simple | moderate | complex | very_complex. include_estimates: Whether to include hour estimates. Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idemp…

• estimate_timeline

  Estimate project timeline from task list with dependency awareness. Args: tasks: List with keys: title, estimated_hours, dependencies (list of task titles), parallelizable (bool). team_size: Number of people working. hours_per_day: Productive hours per person per day. buffer_pct: Risk buffer percentage to add. start_date: Start date in YYYY-MM-DD format. Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit. Pro tier: unlimited. No auth…

• generate_standup

  Generate a formatted standup report from team updates. Args: team_updates: List with keys: name, yesterday (list of items), today (list of items), blockers (list). sprint_day: Current day of sprint. sprint_total_days: Total sprint days. blockers: Team-level blockers. Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage. When to use: Use this tool when you need structured…

• plan_sprint

  Plan a sprint by allocating tasks to capacity. Args: tasks: List of tasks with keys: title, story_points, priority (high|medium|low), assignee (optional). sprint_days: Sprint duration in working days. team_size: Number of team members. velocity: Historical velocity in story points. If omitted, estimates from team size. sprint_name: Sprint name/number. Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier:…

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Weekly downloads

55

Last commit

Sep 4, 2026 (1 month ago)

Last release

Aug 19, 2026 (2 months ago)

Last package publish

Jun 13, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name

io.github.CSOAI-ORG/project-management-ai-mcp

Version

1.0.9

Auth

No auth

Packages

pypi project-management-ai-mcp

License

MIT

Repository

github.com/CSOAI-ORG/project-management-ai-mcp

First seen

Oct 24, 2026

Last checked

Oct 25, 2026

Source

Official MCP Registrygithub-graphql