# ExecuFunction MCP Server

> ExecuFunction MCP Server — execufunction-mcp-mcp-server. Use this tool when you need to integrate AI-powered task management and knowledge base interactions into your workflow, enabling natural language control over project management, code indexing, and calendar tools. It solves problems of manual data entry and synchronization by providing a unified interface for AI assistants to access and manage tasks, notes, and code. This tool accepts natural language inputs and outputs relevant data and actions, ideal for use cases where streamlined project management and AI-driven automation are required.

Canonical page: https://skillsregistry.net/skills/execufunction-mcp-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/execufunction-mcp-mcp-server

## Description

Enables AI assistants to interact with ExecuFunction's project management, knowledge base, code indexing, and calendar tools via MCP, allowing natural language management of tasks, notes, and code.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v31mat17uq)
- **Repository:** <https://github.com/execufunction-mcp/mcp-server>

## 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": "execufunction-mcp-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/execufunction-mcp-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/execufunction-mcp-mcp-server/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