Facing issues while trying to use Atlassian MCP servers confluence tool in crew.ai agent and task

General
3

Thx for the quick response. Looks like the filtering logic I had put to skip the Jira tools was causing the issue. Now I am just passing the entire tools and this seems to be working

from crewai_tools import MCPServerAdapter
from crewai import Agent, Task, Crew, LLM

server_params = {"url": "http://mcp-server:9000/sse"}

#confluence_tools = None
#with MCPServerAdapter(server_params) as all_tools:
    # Filter to only get Confluence tools
    #confluence_tools = [tool for tool in all_tools if tool.name.startswith('confluence_')]
#print(f"Available Confluence tools: {[tool.name for tool in confluence_tools]}")

confluence_tools = MCPServerAdapter(server_params)

confluence_fetcher = Agent(
    role="Confluence Content Retriever",
    goal="Fetch and deliver content from specified Confluence pages",
    backstory="""I'm a straightforward content retriever that connects to Atlassian MCP server 
    to fetch Confluence page content. I don't analyze or interpret the content - I simply retrieve 
    it accurately and deliver it in a clean format.""",
    **tools=confluence_tools.tools**,
    verbose=False,
    memory=False,  # Simple fetching doesn't require memory
    llm=LLM(
        model="openai/aiwb/llama-8b",
        temperature=0.1,  # Low temperature for consistent, predictable responses
        max_tokens=1000,
        extra_headers={
            "X-TFY-METADATA": '{"tfy_log_request":"true"}'
        }
    )
)

Below is the Actual output of a run that is able to retrieve the confluence page

🚀 Crew: crew
└── 📋 Task: c368f288-795f-4dbd-a394-8e77c94fbee2
       Status: Executing Task...
    └── 🤖 Agent: Confluence Content Retriever
            Status: In Progress
# Agent: Confluence Content Retriever
## Task: 
    OBJECTIVE:
    Fetch the specified Confluence page and create a clear, concise summary of its contents.

    PAGE TO FETCH:
    - Page ID: {975512419}

    REQUIREMENTS:
    1. Retrieve the full content of the specified Confluence page using the page_id and space_key
    2. Create a concise summary (300-500 words) highlighting the main points
    3. Extract key concepts and terminology
    4. Note any important technical details or specifications
    5. Format the output in a clear, readable structure

    Keep the summary factual and focused on the most important information from the page.
    
🤖 Agent: Confluence Content Retriever
    Status: In Progress
└── 🧠 Thinking...
🤖 Agent: Confluence Content Retriever
    Status: In Progress
🤖 Agent: Confluence Content Retriever
    Status: In Progress
args ()
kwargs {'page_id': '975512419', 'title': '', 'space_key': '', 'include_metadata': True, 'convert_to_markdown': True}


# Agent: Confluence Content Retriever
## Thought: Thought: To fetch the specified Confluence page and create a summary of its contents, I will first use the `confluence_get_page` tool to retrieve the page content using the provided page ID.
## Using tool: confluence_get_page
## Tool Input: 
"{\"page_id\": \"975512419\", \"include_metadata\": true, \"convert_to_markdown\": true}"
## Tool Output: 
{
  "metadata": {
    "id": "975512419",
    "title": "AI-Workbench on MKS (HLD/LLD)",
    "type": "page",
    "created": "",
    "updated": "",
    "url": "https://confluence.mastercard.int/pages/viewpage.action?pageId=975512419",
    "space": {
      "key": "ORBT",
      "name": "ONE Review Boards: Standard Governance"
    },
......
......