VOOZH about

URL: https://glama.ai/mcp/servers/search/a-search-for-guests-for-a-podcast-using-google-and-linkedin

⇱ A search for guests for a podcast using Google and LinkedIn | Glama


Search for:

A search for guests for a podcast using Google and LinkedIn

View all MCP Servers

  • Why this server?

    Enables AI models to perform Google searches directly, which addresses the 'search google' part of the request.

    A
    license
    C
    quality
    D
    maintenance
    A Model Context Protocol server implementation that enables AI assistants like Claude to perform Google searches and retrieve web data directly through natural language requests.
    Last updated
    1
    65
    162
    MIT
  • Why this server?

    Offers autonomous web research capabilities, which aligns with the 'search google' task by exploring and validating sources.

    A
    license
    -
    quality
    C
    maintenance
    Enhances LLM applications with deep autonomous web research capabilities, delivering higher quality information than standard search tools by exploring and validating numerous trusted sources.
    Last updated
    351
    MIT
  • Why this server?

    Provides AI with access to Bing Search API, thus enabling search functionality.

    A
    license
    A
    quality
    F
    maintenance
    A Model Context Protocol server that integrates with Microsoft Bing Search API, allowing AI assistants to perform web, news, and image searches.
    Last updated
    3
    78
    MIT
  • Why this server?

    Allows AI to interact with LinkedIn data, such as profiles and jobs, fulfilling the 'search linkedin' requirement and potentially helping find podcast guests.

    A
    license
    B
    quality
    D
    maintenance
    Enables AI assistants to interact with LinkedIn data through the Model Context Protocol, allowing profile searches, job discovery, messaging, and network analytics.
    Last updated
    28
    102
    69
    MIT
  • Why this server?

    Can generate LinkedIn post drafts, helpful for outreach to potential podcast guests.

    A
    license
    D
    quality
    D
    maintenance
    A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.
    Last updated
    6
    20
    MIT
  • Why this server?

    Integrates Tavily's search API, enabling AI to perform web searches and retrieve information for finding potential podcast guests and information to prepare for the podcast.

    A
    license
    -
    quality
    F
    maintenance
    Integrates Tavily's search API with LLMs to provide advanced web search capabilities, including intelligent result summaries, domain filtering for quality control, and configurable search parameters.
    Last updated
    41
    8
    MIT
  • Why this server?

    Although it is not directly related to searching, it could help organize and manage potential guests and their information.

    A
    license
    -
    quality
    D
    maintenance
    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
    Last updated
    19
    MIT
  • Why this server?

    If the user's podcast has a website, this could help analyze website traffic to find information about the audience which could be useful in targeting guests.

    A
    license
    -
    quality
    C
    maintenance
    Provides an interface to access Google Analytics Data API through Model Context Protocol (MCP), allowing users to retrieve reports and realtime data from Google Analytics 4 properties.
    Last updated
    12,207
    7
    MIT
  • Why this server?

    Facilitates sophisticated web searches, which assists with gathering information on potential guests or topics for the podcast.

    A
    license
    -
    quality
    C
    maintenance
    A Model Context Protocol server enabling advanced search and content extraction using the Tavily API, with rich customization and integration options.
    Last updated
    152
    10
    MIT