MCP Server for Project Management: Connect Claude
Connect Claude, Claude Code, Gemini CLI or any MCP client to your live project with scoped API keys, rate limits, IP whitelisting and a browser sandbox.
- Bridging Code and Management: Autonomous agents can write code, but cannot see which task is blocked or update project status without a standard protocol.
- Native MCP Server: CoMng.AI exposes its project API as an enterprise Model Context Protocol (MCP) server at `https://comng.ai/app/api/external/mcp`.
- Interactive API Sandbox: Test MCP tools, inspect parameter schemas, and send live requests directly in your browser before deploying agents.
- Unified Security Model: Enforces scoped permissions (Read Only, Insert Only, Read & Insert), rate limits, IP whitelisting, and audit logs.
Why Project Management Needs the Model Context Protocol
Your agent can write code. Can it also see which task is blocked, update the status and log what it did?
Anthropic's open **Model Context Protocol (MCP)** has transformed AI engineering by providing an open standard for connecting AI assistants to data sources and developer tools. While developers use MCP to connect models to code repositories and terminal environments, project management systems have remained isolated. CoMng.AI solves this by providing a **Native Enterprise MCP Server**.
What is an MCP server for project management?
An MCP server lets AI assistants call a tool's functions through the Model Context Protocol instead of custom integrations. For project management, that means an agent can list tasks, create or update them and add notes in your live project, within permissions you control.
Verified MCP Tools Available in CoMng.AI
| Functional Area | MCP Tool Name | Capabilities & Parameters |
|---|---|---|
| Tasks & Subtasks | tasks_list, task_create | List tasks by status; create tasks with estimates & tags |
| Knowledge & Notes | note_update, note_create | Read and update project knowledge base documentation |
| Dependency Graph | list_task_dependencies, list_milestone_dependencies | Inspect predecessor links and CPM float calculations |
| Dependency Management | create_milestone_dependency, delete_milestone_dependency | Manage milestone linkages with CPM validation |
| Project Health | get_project_pulse, get_rag_status | Retrieve live 0–100 Pulse score and worst-of RAG status |
| Change Control | propose_change_request | Draft a sandboxed Change Request for human approval |
Connecting Claude Desktop & Code in Five Steps
Connecting an MCP client to CoMng.AI takes under two minutes:
1. **Create an API Key:** Navigate to *Settings > API Management* and generate a key. 2. **Scope Permissions:** Select allowed projects, permission levels (Read Only, Insert Only, or Read & Insert), rate limits, and optional IP whitelist. 3. **Configure MCP Client:** Add the server endpoint `https://comng.ai/app/api/external/mcp` and your API key in the `X-API-Key` header. 4. **Test in API Sandbox:** Send live test requests from the browser sandbox to confirm connectivity. 5. **Verify with Agent:** Ask Claude to *'List all open tasks on the critical path'* and confirm the output matches your live board.
MCP vs. REST API vs. AI Workplan
| Integration Method | Best Used For | Context Mechanism |
|---|---|---|
| Native MCP Server | Interactive assistants (Claude, Cursor, Gemini) | Self-describing JSON-RPC tool discovery |
| Direct REST API | Custom CI/CD pipelines, cron jobs & webhooks | Standard HTTP endpoints with JSON payloads |
| Structured AI Workplan | Terminal CLI agents (Claude Code, Gemini CLI) | Self-contained markdown work order with credentials |
Enterprise Trust: Unified Security Model
One key, one set of permissions—whether accessed via REST or MCP. The API Management dashboard provides real-time security alerts for repeated failed authentication, an immutable audit log, and per-contractor expiration dates.
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Frequently Asked Questions
What is the MCP server URL?
The endpoint is https://comng.ai/app/api/external/mcp, authenticated using your API key sent in the X-API-Key header.
Which AI assistants can connect?
Any MCP-compatible client can connect, including Claude Desktop, Claude Code, ChatGPT CLI, Gemini CLI, Cursor, and Google Antigravity.
Is MCP less secure than a traditional REST API?
No. MCP is simply an open transport protocol for the same underlying API, enforcing identical scoped permissions, IP whitelisting, and rate limits.
Can I test calls without writing code?
Yes. The built-in API Sandbox lets you browse tool definitions, send live test requests from the browser, and copy example commands.