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"A tool for searching through my codebase" matching MCP servers:

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    Provides a unified MCP server to interact with multiple middleware (Loki, MySQL, Redis, RocketMQ, Elasticsearch, MongoDB) through a desktop application for connection management and configuration export.
    MIT
  • F
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    quality
    B
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    This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.
  • F
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    quality
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    Enables interaction with Plaid's financial data API to sync bank transactions and retrieve account balances with secure encrypted token storage.
  • F
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    Enables semantic search and retrieval of code files using embeddings stored in PostgreSQL. Supports intelligent codebase exploration through natural language queries, file listing, and content retrieval.
    16
  • A
    license
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    quality
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    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
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    quality
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    A powerful Model Context Protocol (MCP) tool for exploring and managing different types of databases including PostgreSQL, MySQL, and Firestore.
    9
    5
    MIT
  • A
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    quality
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    Enables AI models to interact with MySQL databases through MCP protocol, supporting queries, table schema inspection, and data manipulation operations.
    71
    MIT
  • A
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    quality
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    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
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    quality
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    Enables secure chat-based interaction with PostgreSQL databases through Claude Desktop. Features GitHub OAuth authentication, role-based access control, and enterprise-grade security for database queries and operations.
    1
    MIT
  • F
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    quality
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    Enables AI agents to index and search across SQLite databases and CSV files to discover table schemas and column metadata. It provides a unified MCP API for data source management and structural exploration through natural language.
  • F
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    quality
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    maintenance
    An MCP server that indexes local Python projects into a SQLite database to enable efficient symbol searching and dependency tracking. It allows users to find function or class definitions, trace module imports, and read file contents through natural language interfaces.
  • F
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    A
    quality
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    Converts SQL queries between different database dialects using the sqlglot library to ensure cross-system compatibility. It allows users to list supported dialects and transpile SQL code from one syntax to another through the Model Context Protocol.
    2
    3
  • A
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    quality
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    Enables AI agents to search and discover data across SQLite and CSV sources through an MCP interface, with metadata indexing and fuzzy search capabilities.
    MIT
  • A
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    quality
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    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
  • F
    license
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    quality
    C
    maintenance
    An MCP server that gives an AI agent scoped, safe access to your Postgres databases with per-connection access control, row caps, timeouts, and defense-in-depth read-only enforcement.
  • F
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    quality
    B
    maintenance
    Automatically routes natural language questions to RAG or Text2SQL paths to answer queries about virtual construction site data, supporting semantic search and structured aggregation.
  • F
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    quality
    A
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    Enables local data discovery by indexing metadata from SQLite, CSV, and Markdown sources, providing hybrid keyword and TF-IDF semantic search via MCP tools (listSources, indexSource, search, getSchema) and a REST API.
  • A
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    quality
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    maintenance
    A read-only MCP server for Microsoft SQL Server that enables metadata discovery, parameterized queries, and query analysis with profile-based configuration and strict no-DML/DDL enforcement.
    7
    MIT