namakan-mcp-projects
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.
Click 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., "@namakan-mcp-projectsfind 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.
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: fullBootstrap writes that into every Hermes profile with using-namakan-mcp.
Related MCP server: Lazy LLMs Project Management MCP Server
Architecture
Full AI workflow
president-cooassigns delivery tracking todelivery-manager.Agent calls
pm_run_workflow(list → find → blocked status update).Writes stay off until
cisoapproval. Dry-run shows the would-be call.
Demo without an agent process:
namakan-mcp-pm workflowExpected: four JSON steps. Last step "error": "writes_disabled".
Tools
Tool | Access | Arguments |
| read |
|
| read |
|
| read | — |
| write |
|
| write |
|
| read + blocked write |
|
Mock statuses: todo, doing, blocked, done. Map vendor states in the adapter, not in the tool name.
Potential use cases
Use case | Which agent | Why it matters |
Engagement board |
| Mirror Phase 1/2 status into the client's Jira without learning Jira's API. |
Where is the audit? |
| Mock today, Asana after go-live. Same tool. |
Close the task |
| Blocked until writes are enabled. |
use_case: engagement-board (default), where-is-the-audit, close-the-task.
Tests
pip install -e ".[dev]"
pytestLicense
MIT. Copyright (c) 2026 Namakan AI Engineering.
This server cannot be deployed
Maintenance
Related MCP Connectors
- DazbenchOAuthapp.dazbench
Task management your AI agents can actually run. One line becomes a context-ready task over MCP.
Let AI agents query data and act across all your business apps via MCP.
Project management MCP for AI agents with safe task reads and writes.
Your org's AI agents, tasks, runs, search, and brain files as MCP tools and resources.
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