pension-pro-mcp

pension-pro-mcp

A local, open-source MCP server that provides AI assistants with tools to interact with the PensionPro REST API.

Category
访问服务器

README

PensionPro MCP Server

A local, open-source MCP server that provides AI assistants with tools to interact with the PensionPro REST API.

Features

  • Plan Lookup & Search — Search plans by name, status, type, or client. Get comprehensive plan details with contacts, cycles, and fee schedules.
  • Project & Task Workflow — Search projects, view task details, complete/uncomplete tasks, reassign tasks, and create projects from templates.
  • Client & Contact Lookup — Search clients and contacts, view client details with associated plans.
  • To-Do Management — Search, create, and update to-dos linked to plans, projects, or contacts.
  • Notes — Add and retrieve notes on plans, projects, tasks, and contacts.

Prerequisites

  • Python 3.12+
  • A PensionPro API key and username

Installation

Install from PyPI:

pip install pension-pro-mcp

Or run directly with uvx (no install required):

uvx pension-pro-mcp

Configuration

Set the following environment variables:

export PENSION_PRO_API_KEY=your_api_key
export PENSION_PRO_USERNAME=your_username

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "pension-pro": {
      "command": "uvx",
      "args": ["pension-pro-mcp"],
      "env": {
        "PENSION_PRO_API_KEY": "your_api_key",
        "PENSION_PRO_USERNAME": "your_username"
      }
    }
  }
}

Claude Code

Add to your project's .mcp.json:

{
  "mcpServers": {
    "pension-pro": {
      "command": "uvx",
      "args": ["pension-pro-mcp"],
      "env": {
        "PENSION_PRO_API_KEY": "your_api_key",
        "PENSION_PRO_USERNAME": "your_username"
      }
    }
  }
}

Available Tools

Tool Description
search_plans Search and filter plans by name, status, type, or client
get_plan_details Get plan with contacts, cycles, services, investments, fees
get_plan_projects Get projects for a plan with task completion summaries
search_projects Search and filter projects by status, type, or plan
get_project_details Get project with task groups, tasks, participants, notes, and files
get_task_details Get a single task with state, assignment, and notes
complete_task Mark a task as complete
uncomplete_task Revert a task to incomplete
reassign_task Reassign a task to a different employee
create_project_from_template Create a new project from a template
search_clients Search and filter clients by company name
get_client_details Get client with plans and notes
search_contacts Search and filter contacts by name or client
search_todos Search and filter to-dos
get_todo Get a to-do with its comments
create_todo Create a new to-do linked to an entity
update_todo Update a to-do's details
add_note Add a note to a plan, project, task, or contact
get_notes Get notes for an entity
search_api_paths Search PensionPro API endpoints by keyword
get_api_endpoint Get full details for a specific API endpoint
search_api_schemas Search API data models/schemas by keyword
get_api_schema Get the full definition of an API data model
search_help_articles Search PensionPro help center articles by keyword
get_help_article Get the full content of a help article
list_help_sections List available help sections with article counts

Development

git clone https://github.com/douglaslinsmeyer/pension-pro-mcp.git
cd pension-pro-mcp
pip install -e ".[dev]"
pytest

Refreshing Help Articles

The bundled help articles can be refreshed from the PensionPro knowledge base:

python scripts/scrape_docs.py

License

MIT

<!-- mcp-name: io.github.douglaslinsmeyer/pension-pro-mcp -->

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选