Skip to main content
Glama
vad-007

MCP + CrewAI Agentic Integration

by vad-007
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Related Servers

Alternatives to MCP + CrewAI Agentic Integration

No user-submitted related servers found.

    Related Servers

    • MCP Demo

      lakyia
      F
      license
      Not graded
      quality
      D
      maintenance
      A FastMCP-based server providing tools for weather queries, random number generation, and real-time stock market data retrieval. It enables AI models to interact with external data and perform specific tasks through the Model Context Protocol.
      -

    • MCP Local LLM Server

      jrgtwo
      F
      license
      Not graded
      quality
      D
      maintenance
      A FastMCP server that exposes a locally-hosted llama.cpp LLM as MCP tools, plus utilities for weather, news, web fetching, file I/O, and more. Enables MCP-compatible clients to use a local GGUF model for text generation without external APIs.
      1
      -

    • MCP-server

      Prathapmahi
      F
      license
      Not graded
      quality
      D
      maintenance
      Multi-agent AI tools for email automation (Outlook), weather (OpenWeather API), sticky notes, and arithmetic, all served via FastMCP.
      -

    • MCP Tool Server

      rakeshpvconnect-ops
      F
      license
      Not graded
      quality
      D
      maintenance
      A production-ready Python MCP server providing tools for fetching live weather data, querying local SQLite databases, reading files, summarizing webpages, and performing safe mathematical calculations. It enables MCP-compatible LLM clients to execute these tasks autonomously as part of agentic workflows.
      -
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.3/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: add_note and read_notes handle note management, fetch_weather retrieves weather data, and search_news fetches news results. There is no overlap in functionality, making tool selection straightforward for an agent.

    Naming Consistency4/5

    The tool names follow a consistent verb_noun pattern (add_note, fetch_weather, read_notes, search_news), which is predictable and readable. The minor deviation is that 'fetch_weather' and 'search_news' use different verbs ('fetch' vs. 'search'), but the overall pattern remains clear.

    Tool Count3/5

    With only 4 tools, the set feels thin for a server named 'MCP + CrewAI Agentic Integration', which suggests broader agentic capabilities. While the tools cover basic utilities (notes, weather, news), the scope seems limited compared to the implied integration purpose, bordering on under-scoped.

    Completeness2/5

    Inferring the domain as agentic integration utilities, there are significant gaps: no tools for agent coordination, task management, or data processing beyond simple fetches. The note tools lack update/delete operations, and overall coverage is incomplete for enabling complex agent workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources