Which integrations are available for this server?

Allows AI agents to use Asana as a backend for project and work management, including finding tasks, listing projects and tasks, updating statuses, and adding comments. Allows AI agents to use ClickUp as a backend for project and work management, including finding tasks, listing projects and tasks, updating statuses, and adding comments. Allows AI agents to interact with Jira as a backend for project and work management, including finding tasks, listing projects, updating statuses, and adding comments through unified MCP tools. Allows AI agents to use Trello as a backend for project and work management, including finding tasks, listing projects and tasks, updating statuses, and adding comments.

How do I use namakan-mcp-projects?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@namakan-mcp-projects find audit-related tasks across all projects" 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.

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namakan-mcp-projects

by cfollette18

Overview Schema Related Servers Score Discussions

Python

Remote

namakan-mcp-pm

Internal MCP server: one project/work-management surface. Namakan agents call pm_find_task whether the backend is Jira, Asana, Monday, ClickUp, Smartsheet, Microsoft Project, or Trello.

delivery-manager uses the same tools to project engagement status into the client's board. The client PMO does not configure MCP.

How agents connect

mcp_servers:
  namakan-mcp-pm:
    command: uvx
    args:
      - --from
      - git+https://github.com/cfollette18/namakan-mcp-pm.git
      - namakan-mcp-pm
      - serve
    env:
      NAMAKAN_PM_BACKEND: mock
    trust: full

Bootstrap writes that into every Hermes profile with using-namakan-mcp.

Related MCP server: Lazy LLMs Project Management MCP Server

Architecture

delivery-manager to MCP to PM tools to Jira, Asana, or mock

Full AI workflow

List projects, find task, list tasks, then a blocked status update

president-coo assigns delivery tracking to delivery-manager.
Agent calls pm_run_workflow (list → find → blocked status update).
Writes stay off until ciso approval. Dry-run shows the would-be call.

Demo without an agent process:

namakan-mcp-pm workflow

Expected: four JSON steps. Last step "error": "writes_disabled".

Tools

Tool	Access	Arguments
`pm_find_task`	read	`query`
`pm_list_tasks`	read	`project_id?`
`pm_list_projects`	read	—
`pm_update_status`	write	`task_id`, `status`
`pm_add_comment`	write	`task_id`, `body`
`pm_run_workflow`	read + blocked write	`use_case?`, `query?`

Mock statuses: todo, doing, blocked, done. Map vendor states in the adapter, not in the tool name.

Potential use cases

Engagement board, where is the audit, close the task

Use case	Which agent	Why it matters
Engagement board	`delivery-manager`	Mirror Phase 1/2 status into the client's Jira without learning Jira's API.
Where is the audit?	`delivery-manager`	Mock today, Asana after go-live. Same tool.
Close the task	`ciso` gates the write	Blocked until writes are enabled.

use_case: engagement-board (default), where-is-the-audit, close-the-task.

Tests

pip install -e ".[dev]"
pytest

License

This server cannot be installed

RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

license - permissive license

Not graded

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

Need Help?

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