Skip to main content
Glama
70,621 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"A server with DEEP SEARCH functionality for flexible use" matching MCP servers:

  • A
    license
    -
    quality
    D
    maintenance
    MCP server for executing Databricks SQL queries and comparing table data, supporting CLI and VS Code integration.
    1
    MIT
  • F
    license
    -
    quality
    B
    maintenance
    This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.
  • A
    license
    A
    quality
    C
    maintenance
    Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.
    3
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    Enables users to interact with PostgreSQL databases through natural language, with GitHub OAuth authentication and role-based access control.
    MIT
  • A
    license
    -
    quality
    B
    maintenance
    A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.
    GPL 3.0
  • A
    license
    A
    quality
    C
    maintenance
    Enables full-text search of macOS iMessages including link preview metadata. Works as an MCP server for Claude Desktop to search your messages locally.
    1
    MIT
  • A
    license
    A
    quality
    F
    maintenance
    Downloads your entire Search Console dataset into a local SQLite database, then gives your LLM a pre-built SQL query library for every standard SEO analysis type, with context available for your LLM to perform any SQL query to answer your questions and analyse for you.
    12
    20
    17
    Apache 2.0
  • A
    license
    A
    quality
    D
    maintenance
    Enables AI systems to perform full-text and semantic search operations over structured/unstructured data in Azure Cognitive Search, with capabilities for document indexing and management through natural language.
    3
    17
    4
    ISC
  • A
    license
    A
    quality
    D
    maintenance
    Provides access to Naver Search APIs, allowing AI agents to search across multiple categories (blogs, news, books, images, shopping items, etc.) with structured responses optimized for LLM consumption.
    13
    4
    Apache 2.0
  • A
    license
    C
    quality
    F
    maintenance
    Enables searching for any text within a specified Algolia index through an MCP-compatible interface. It allows users to integrate Algolia search capabilities into their environment using an application ID and API key.
    1
    1
    MIT
  • A
    license
    -
    quality
    C
    maintenance
    MCP server that aggregates job listings from Remotive and Arbeitnow, with local SQLite caching, application tracking, and saved searches.
    76
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    This read-only MCP Server allows you to connect to Google Search data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp
    1
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    MCP server that connects AI assistants to Redash, enabling listing of assets, read-only query execution, dashboard inspection, and alert management through the Redash API.
    MIT
  • A
    license
    -
    quality
    C
    maintenance
    An integration server implementing the Model Context Protocol that enables LLM applications to interact with Milvus vector database functionality, allowing vector search, collection management, and data operations through natural language.
    238
    Apache 2.0
  • F
    license
    -
    quality
    D
    maintenance
    A Model Context Protocol server that searches transcript segments in a Turso database using vector similarity, allowing users to find relevant content by asking questions without generating new embeddings.
    4