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productivity

TeamRetro

by adepanges

Connect to TeamRetro for seamless team collaboration and task management. Enhance your workflow with leading project mgm

Provides a bridge to TeamRetro's team management platform for creating and managing teams, users, and members through natural language commands with authentication support.

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Natural language commandsDirect TeamRetro integration

best for

  • / Team leads managing project teams
  • / HR managing organizational structure
  • / Automating team setup processes

capabilities

  • / Create and manage teams
  • / Add and remove team members
  • / Manage user accounts
  • / Execute team operations via natural language
  • / Authenticate with TeamRetro platform

what it does

Connects to TeamRetro's team management platform to create and manage teams, users, and members through natural language commands.

about

TeamRetro is a community-built MCP server published by adepanges that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect to TeamRetro for seamless team collaboration and task management. Enhance your workflow with leading project mgm It is categorized under productivity.

how to install

You can install TeamRetro in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

Apache-2.0

TeamRetro is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

TeamRetro MCP Server

<a href="https://smithery.ai/server/@adepanges/teamretro-mcp-server"><img alt="Smithery Badge" src="https://smithery.ai/badge/@adepanges/teamretro-mcp-server"></a>

MseeP.ai Security Assessment Badge

<a href="https://glama.ai/mcp/servers/@adepanges/teamretro-mcp-server"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@adepanges/teamretro-mcp-server/badge" /> </a>

A Model Context Protocol (MCP) server that provides AI-powered integration with TeamRetro's platform. This server acts as a bridge between AI clients and TeamRetro's official API, enabling seamless interaction with team management, retrospectives, health checks, and other TeamRetro features through standardized MCP tools.

Key features:

  • Complete TeamRetro API coverage with 20+ tools for managing teams, users, actions, and more
  • Simplified AI client integration through standardized MCP interfaces
  • Built-in pagination and filtering support for efficient data handling
  • Secure API authentication handling and environment configuration
  • Comprehensive documentation and easy setup options

Whether you're building AI-powered team analytics, automated retrospective management, or integrating TeamRetro into your AI workflow, this MCP server provides the foundation you need.

Important Notes

Unofficial MCP Server

This MCP server is an unofficial community-developed interface to TeamRetro's services. While not developed or endorsed by TeamRetro, it provides standardized access to their platform.

Official API Integration

The server connects directly to TeamRetro's official public API:

  • Uses documented endpoints from TeamRetro's API specifications
  • Maintains full API compliance and version tracking
  • Implements all required authentication methods
  • Preserves original API responses without modification

API Documentation Source

All API endpoints and functionality are based on TeamRetro's official documentation:

How to Use

NPX (Recommended, Easy Setup)

{
  "mcpServers": {
    "teamretro-mcp-server": {
      "command": "npx",
      "args": ["-y", "teamretro-mcp-server"],
      "env": {
        "TEAMRETRO_AUTH_TYPE": "apiKey",
        "TEAMRETRO_API_KEY": "your-api-key"
      }
    }
  }
}

Installing via Smithery

To install TeamRetro MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @adepanges/teamretro-mcp-server --client claude

From Source Code

  1. Clone the repository, install dependencies, and build the project:
git clone https://github.com/adepanges/teamretro-mcp-server.git
cd teamretro-mcp-server
pnpm install
pnpm run build

Running in AI Client

  1. Configure the AI client with the following settings:
{
  "mcpServers": {
    "teamretro-mcp-server": {
      "command": "node",
      "args": ["/path/to/teamretro-mcp-server/dist/index.js"],
      "env": {
        "TEAMRETRO_AUTH_TYPE": "apiKey",
        "TEAMRETRO_API_KEY": "your-api-key"
      }
    }
  }
}

Running with Inspector

  1. Configure the environment variables by copying .env.example to .env and modifying it according to your needs.
  2. Run the server with inspector:
pnpm run inspector

Environment Variables Examples

Base URL

The base URL for the TeamRetro API can be set using the TEAMRETRO_BASE_URL environment variable. By default, it is set to https://api.teamretro.com.

{
  "env": {
    "TEAMRETRO_BASE_URL": "https://api.teamretro.com"
  }
}

API Key Authentication

{
  "env": {
    "TEAMRETRO_AUTH_TYPE": "apiKey",
    "TEAMRETRO_API_KEY": "your-api-key"
  }
}

Available Tools

The server provides the following tools:

Users

  • list_users: List users with pagination using offset and limit parameters to control the number of results returned
  • add_user: Add a new user or update an existing user's information by their email address, specifying optional name and emailAddress
  • update_user: Update an existing user's details, such as their name and emailAddress, by providing their current email
  • delete_user: Delete a user by their email address
  • get_user: Retrieve detailed information about a single user by their email address

Teams

  • list_teams: List teams from TeamRetro with filtering by tags and IDs, and pagination using offset and limit parameters
  • detail_team: Retrieve detailed information about a single team by its unique ID
  • update_team: Update an existing team's details, such as its name and associated tags, by providing the team's ID
  • create_team: Create a new team with a required name, and optional tags and members
  • delete_team: Delete an existing team by its ID

Team Members

  • list_team_members: Retrieve a list of team members for a specified team ID with pagination controls for offset and limit
  • get_team_member: Fetch a team member by their email address within a specified team
  • update_team_member: Update a team member's details, such as their name or team admin status, by their email address within a specified team
  • remove_team_member: Remove a team member from a team by their email address
  • add_team_member: Add a new team member to a team by their email address, with optional specification of team admin status

Actions

  • list_actions: Retrieve a list of actions from TeamRetro with optional filtering by team tags and team IDs, and pagination controls for offset and limit
  • create_action: Create a new action in TeamRetro with required details such as team ID, title, due date, completion status, and assigned user
  • get_action: Fetch a single action by its unique ID from TeamRetro
  • update_action: Update an existing action in TeamRetro with new details such as title, due date, completion status, priority, and assigned user
  • delete_action: Delete an existing action from TeamRetro by its action ID

Agreements

  • list_agreements: List agreements from TeamRetro with optional filtering by team tags and team IDs, as well as pagination controls
  • create_agreement: Create a new agreement in TeamRetro by specifying the team it belongs to and its title
  • get_agreement: Retrieve a single agreement by its unique identifier
  • update_agreement: Update an existing agreement's details such as its title or associated team
  • delete_agreement: Delete an existing agreement by specifying its unique identifier

Health Checks

  • list_health_checks: List health checks from TeamRetro with optional filtering by health model IDs, team tags, and team IDs, as well as pagination controls
  • get_health_check: Retrieve a single health check by its unique identifier with optional attributes to include
  • delete_health_check: Delete an existing health check by specifying its unique identifier

Health Models

  • list_health_models: List health models from TeamRetro with pagination controls
  • get_health_model: Retrieve a single health model by its unique identifier

Retrospectives

  • list_retrospectives: List retrospectives from TeamRetro with filtering by team tags and IDs, and pagination using offset and limit parameters
  • get_retrospective: Retrieve detailed information about a single retrospective by its unique ID
  • delete_retrospective: Delete an existing retrospective by its ID

Reports

  • team_activity_report: Generate a team activity report from TeamRetro with filtering by team tags and team IDs
  • team_actions_activity_report: Generate a team actions activity report from TeamRetro with filtering by team tags and team IDs. Returns CSV data with action statistics including open, completed, and overdue action counts grouped by age ranges
  • retrospective_activity_report: Generate a retrospective activity report from TeamRetro with filtering by date range, team tags and team IDs. Returns CSV data with retrospective statistics including participation rate, idea count, comment count, action count, and agreement count
  • health_check_activity_report: Generate a health check activity report from TeamRetro with filtering by date range, team tags and team IDs. Returns CSV data with health check statistics including participation rate, comment count, action count, and agreement count
  • team_health_latest_report: Generate a team health (latest) report from TeamRetro for a specific health model with filtering by date range, team tags and team IDs. Returns CSV data with latest team health scores including heal

FAQ

What is the TeamRetro MCP server?
TeamRetro is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for TeamRetro?
This profile displays 38 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

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Ratings

4.638 reviews
  • Fatima Gonzalez· Dec 28, 2024

    TeamRetro is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Fatima Ramirez· Dec 12, 2024

    TeamRetro has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Piyush G· Dec 4, 2024

    I recommend TeamRetro for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Ganesh Mohane· Nov 23, 2024

    TeamRetro is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Tariq Yang· Nov 19, 2024

    I recommend TeamRetro for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Yuki Wang· Nov 3, 2024

    According to our notes, TeamRetro benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • William Chawla· Oct 22, 2024

    I recommend TeamRetro for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Yash Thakker· Oct 14, 2024

    TeamRetro has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Sophia Gupta· Oct 10, 2024

    According to our notes, TeamRetro benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Chaitanya Patil· Sep 21, 2024

    TeamRetro reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

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