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vad-007

MCP + CrewAI Agentic Integration

by vad-007

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
GROQ_API_KEYYesAPI Key for Groq to power the LLM engine (Llama 3.1).
SERPER_API_KEYYesAPI Key for Serper (Google Search API) used for news retrieval.
WEATHER_API_KEYYesAPI Key for WeatherAPI to access real-time meteorology data.
AGENTOPS_API_KEYYesAPI Key for AgentOps for observability, tracing, cost management, and debugging.

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
add_note

Append a new note to the note file.

Args: message (str): The note content to be added.

Returns: str: Confirmation message indicating the note was saved.

search_news

Fetch search results from Google News via Serper

fetch_weather

Fetch current weather for a city

read_notes

Read and return all notes from the note file.

Returns: str: All notes as a single string separated by line breaks. If no notes exist, a default message is returned.

Prompts

Interactive templates invoked by user choice

NameDescription
note_summary_prompt Generate a prompt asking the AI to summarize all current notes. Returns: str: A prompt string that includes all notes and asks for a summary. If no notes exist, a message will be shown indicating that.

Resources

Contextual data attached and managed by the client

NameDescription
get_latest_note Get the most recently added note from the note file. Returns: str: The last note entry. If no notes exist, a default message is returned.

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