# How to integrate Teamcamp MCP with CrewAI ```json { "title": "How to integrate Teamcamp MCP with CrewAI", "toolkit": "Teamcamp", "toolkit_slug": "teamcamp", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/teamcamp/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/teamcamp/framework/crew-ai.md", "updated_at": "2026-05-12T10:28:00.314Z" } ``` ## Introduction This guide walks you through connecting Teamcamp to CrewAI using the Composio tool router. By the end, you'll have a working Teamcamp agent that can create a new task in project alpha, list all active projects for your team, show tasks assigned to me due this week through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Teamcamp account through Composio's Teamcamp MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Teamcamp with - [OpenAI Agents SDK](https://composio.dev/toolkits/teamcamp/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/teamcamp/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/teamcamp/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/teamcamp/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/teamcamp/framework/codex) - [OpenClaw](https://composio.dev/toolkits/teamcamp/framework/openclaw) - [Hermes](https://composio.dev/toolkits/teamcamp/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/teamcamp/framework/cli) - [Google ADK](https://composio.dev/toolkits/teamcamp/framework/google-adk) - [LangChain](https://composio.dev/toolkits/teamcamp/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/teamcamp/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/teamcamp/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/teamcamp/framework/llama-index) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Teamcamp connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Teamcamp - Build a conversational loop where your agent can execute Teamcamp operations ## What is CrewAI? CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews. Key features include: - Agent Roles: Define specialized agents with specific goals and backstories - Task Management: Create tasks with clear descriptions and expected outputs - Crew Orchestration: Combine agents and tasks into collaborative workflows - MCP Integration: Connect to external tools through Model Context Protocol ## What is the Teamcamp MCP server, and what's possible with it? The Teamcamp MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Teamcamp account. It provides structured and secure access to your projects and tasks, so your agent can manage projects, create and review tasks, fetch project overviews, and streamline team workflows on your behalf. - Project overview and listing: Instantly retrieve a full list of all projects within your workspace, making it easy to get a snapshot of ongoing work. - Automated task creation: Let your agent add new tasks to any project, complete with details like assignee, due date, and description—no manual entry needed. - Task tracking and filtering: Effortlessly pull lists of tasks for any project, filterable by status, assignee, or due date to stay on top of team priorities. - Project cleanup and deletion: Direct your agent to permanently delete projects that are finished or no longer needed, keeping your workspace neat and efficient. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `TEAMCAMP_CREATE_PROJECT` | Create Project | Tool to create a new project in the workspace. Use when you need to set up a new project with optional customer association, dates, and template. | | `TEAMCAMP_CREATE_TASK` | Create Task | Tool to create a new task within a specified project. Use when you have the project ID and task details ready. | | `TEAMCAMP_CREATE_TASK2` | Create Task (V2) | Tool to create a new task in a TeamCamp project. Requires both 'name' and 'taskName' fields per API requirements. | | `TEAMCAMP_DELETE_PROJECT` | Delete Project | Tool to delete a specific project by its ID. Use when you need to permanently remove a project after confirming it's no longer needed. | | `TEAMCAMP_GET_COMPANY_CUSTOMERS` | Get Company Customers | Tool to retrieve all customers in the company/workspace. Use when you need to get customer information or list all customers. | | `TEAMCAMP_GET_COMPANY_USERS` | Get Company Users | Tool to retrieve all users in the company/workspace. Use when you need to list all team members or check user details. | | `TEAMCAMP_GET_PROJECT_DETAILS` | Get Project Details | Tool to get comprehensive project details including core fields, configuration, user data, feature toggles, and related resources. Use when you need detailed information about a specific project. | | `TEAMCAMP_GET_PROJECT_GROUPS` | Get Project Groups | Tool to retrieve all groups within a specific project. Use when you need to list project groups for organization or task assignment. | | `TEAMCAMP_GET_PROJECT_LIST` | Get Project List | Tool to retrieve all projects within the workspace. Use when you need an overview of available projects. | | `TEAMCAMP_GET_TASK` | Get Task | Tool to retrieve details of a specific task by its unique identifier. Use when you need complete information about a single task. | | `TEAMCAMP_GET_TASK_LIST_FILTERED` | Get Task List (Filtered) | Tool to retrieve a list of tasks from a project with optional completion status filtering. Use when you need to get all tasks or filter by completed/incomplete status. | | `TEAMCAMP_POST_TASK_COMMENT` | Post Task Comment | Tool to post a new comment on a task. Use when you need to add a comment to an existing task. | | `TEAMCAMP_UPDATE_PROJECT` | Update Project | Tool to update an existing project's details by its unique identifier. Use when you need to modify project name, dates, description, or settings. | | `TEAMCAMP_UPDATE_TASK` | Update Task | Tool to update an existing task by its unique identifier. Use when you need to modify task properties like name, description, priority, due date, assignees, or status. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Teamcamp MCP server is an implementation of the Model Context Protocol that connects your AI agent to Teamcamp. It provides structured and secure access so your agent can perform Teamcamp operations on your behalf through a secure, permission-based interface. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites Before starting, make sure you have: - Python 3.9 or higher - A Composio account and API key - A Teamcamp connection authorized in Composio - An OpenAI API key for the CrewAI LLM - Basic familiarity with Python ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider. - Keep the API key safe. Composio API Key - Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install dependencies **What's happening:** - composio connects your agent to Teamcamp via MCP - crewai provides Agent, Task, Crew, and LLM primitives - crewai-tools[mcp] includes MCP helpers - python-dotenv loads environment variables from .env ```bash pip install composio crewai crewai-tools[mcp] python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates with Composio - USER_ID scopes the session to your account - OPENAI_API_KEY lets CrewAI use your chosen OpenAI model ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies **What's happening:** - CrewAI classes define agents and tasks, and run the workflow - MCPServerHTTP connects the agent to an MCP endpoint - Composio will give you a short lived Teamcamp MCP URL ```python import os from composio import Composio from crewai import Agent, Task, Crew from crewai_tools import MCPServerAdapter import dotenv dotenv.load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set") ``` ### 5. Create a Composio Tool Router session for Teamcamp **What's happening:** - You create a Teamcamp only session through Composio - Composio returns an MCP HTTP URL that exposes Teamcamp tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["teamcamp"]) url = session.mcp.url ``` ### 6. Initialize the MCP Server **What's Happening:** - Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication. - MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format. - Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools. - Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops. - Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries. ```python server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users search the internet effectively", backstory="You are a helpful assistant with access to search tools.", tools=tools, verbose=False, max_iter=10, ) ``` ### 7. Create a CLI Chatloop and define the Crew **What's Happening:** - Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable. - Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean. - Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses. - Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context. - Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response. - Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity. ```python print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Complete Code ```python from crewai import Agent, Task, Crew, LLM from crewai_tools import MCPServerAdapter from composio import Composio from dotenv import load_dotenv import os load_dotenv() GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY") COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not GOOGLE_API_KEY: raise ValueError("GOOGLE_API_KEY is not set in the environment.") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set in the environment.") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set in the environment.") # Initialize Composio and create a session composio = Composio(api_key=COMPOSIO_API_KEY) session = composio.create( user_id=COMPOSIO_USER_ID, toolkits=["teamcamp"], ) url = session.mcp.url # Configure LLM llm = LLM( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY"), ) server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users with internet searches", backstory="You are an expert assistant with access to Composio Search tools.", tools=tools, llm=llm, verbose=False, max_iter=10, ) print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Conclusion You now have a CrewAI agent connected to Teamcamp through Composio's Tool Router. The agent can perform Teamcamp operations through natural language commands. Next steps: - Add role-specific instructions to customize agent behavior - Plug in more toolkits for multi-app workflows - Chain tasks for complex multi-step operations ## How to build Teamcamp MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/teamcamp/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/teamcamp/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/teamcamp/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/teamcamp/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/teamcamp/framework/codex) - [OpenClaw](https://composio.dev/toolkits/teamcamp/framework/openclaw) - [Hermes](https://composio.dev/toolkits/teamcamp/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/teamcamp/framework/cli) - [Google ADK](https://composio.dev/toolkits/teamcamp/framework/google-adk) - [LangChain](https://composio.dev/toolkits/teamcamp/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/teamcamp/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/teamcamp/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/teamcamp/framework/llama-index) ## Related Toolkits - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. - [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity. - [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently. - [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place. - [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time. - [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time. - [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place. - [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place. - [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place. - [Beeminder](https://composio.dev/toolkits/beeminder) - Beeminder is an online goal-tracking platform that uses monetary pledges to keep you motivated. Stay accountable and hit your targets with real financial incentives. - [Boxhero](https://composio.dev/toolkits/boxhero) - Boxhero is a cloud-based inventory management platform for SMBs, offering real-time updates, barcode scanning, and team collaboration. It helps businesses streamline stock tracking and analytics for smarter inventory decisions. - [Breathe HR](https://composio.dev/toolkits/breathehr) - Breathe HR is cloud-based HR software for SMEs to manage employee data, absences, and performance. It simplifies HR admin, making it easy to keep employee records accurate and up to date. - [Breeze](https://composio.dev/toolkits/breeze) - Breeze is a project management platform designed to help teams plan, track, and collaborate on projects. It streamlines workflows and keeps everyone on the same page. - [Bugherd](https://composio.dev/toolkits/bugherd) - Bugherd is a visual feedback and bug tracking tool for websites. It helps teams and clients report website issues directly on live sites for faster fixes. - [Canny](https://composio.dev/toolkits/canny) - Canny is a platform for managing customer feedback and feature requests. It helps teams prioritize product decisions based on real user insights. - [Chmeetings](https://composio.dev/toolkits/chmeetings) - Chmeetings is a church management platform for events, members, donations, and volunteers. It streamlines church operations and improves community engagement. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Teamcamp MCP? With a standalone Teamcamp MCP server, the agents and LLMs can only access a fixed set of Teamcamp tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Teamcamp and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with CrewAI? Yes, you can. CrewAI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Teamcamp tools. ### Can I manage the permissions and scopes for Teamcamp while using Tool Router? Yes, absolutely. You can configure which Teamcamp scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do. ### How safe is my data with Composio Tool Router? All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Teamcamp data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)