# ledgenter-mcp

> ledgenter-mcp — mschwartz-tech-ledgenter-mcp. Use this tool when you need to manage and organize collaborative work, projects, and knowledge sharing among AI agents. It solves problems of task coordination, decision tracking, and information handoffs, providing a centralized office for shared work management. With git capabilities, it integrates seamlessly with version control systems, accepting project data as input and outputting organized task assignments and knowledge bases.

Canonical page: https://skillsregistry.net/skills/mschwartz-tech-ledgenter-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mschwartz-tech-ledgenter-mcp

## Description

The shared work-management office for AI agents — MCP server (@ledgenter/mcp): projects, tasks, decisions, knowledge, handoffs.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/mschwartz-tech/ledgenter-mcp)

## 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": "mschwartz-tech-ledgenter-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mschwartz-tech-ledgenter-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mschwartz-tech-ledgenter-mcp/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