# Agile Luminary MCP Server

> Use this tool when you need to integrate AI conversations with project management data, enabling seamless retrieval of project details, work assignments, and product information. It solves problems of data siloing and manual information retrieval, providing a unified interface for AI clients to access Agile Luminary project data. The Agile Luminary MCP Server takes AI client requests as input and returns relevant project data as output, ideal for use cases where AI-driven project insights and automation are required.

Canonical page: https://skillsregistry.net/skills/agileluminary-mcp-agile-luminary  
JSON: https://api.skillsregistry.net/v1/skills/agileluminary-mcp-agile-luminary

## Description

A Model Context Protocol server that connects AI clients to the Agile Luminary project management system, allowing users to retrieve project details, work assignments, and product information within AI conversations.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eav8gz1dei)
- **Repository:** <https://github.com/AgileLuminary/mcp-agile-luminary>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "agileluminary-mcp-agile-luminary"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agileluminary-mcp-agile-luminary` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agileluminary-mcp-agile-luminary/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt