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"Kingsoft Document Connector" matching MCP servers:

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    Enables document processing with Suparse API, extracting structured data from documents into JSON, CSV, XLSX, or Google Sheets, and supports processing single files or folders.
    6
    30
    MIT
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    Enables interaction with an Airbyte instance through natural language, supporting workspaces, sources, destinations, connections, jobs, logs, tags, streams, and connector definitions.
    36
    4
    Apache 2.0
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    Enables document processing through Upstage AI services including parsing various document formats, extracting structured information with custom schemas, auto-generating extraction schemas, and classifying documents into categories.
    4
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    MIT
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    MCP server that exposes NocoDB bases, tables, records, and linked records as tools, enabling Claude to read/write NocoDB data. Supports both stdio and HTTP for local and cloud deployments.
    13
    MIT
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    Enables interaction with Apache Pulsar clusters through MCP-compatible clients, supporting publish, consume, topic management, and connector operations.
    10
    1
    MIT
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    MCP server that exposes Parseur document parsing and mailbox management as tools for AI assistants, allowing natural language control of parseur.com.
    7
    MIT
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    Executes SQL queries via ConnectorX and streams results to CSV or Parquet files, supporting multiple databases and optional token counting for CSV output.
    1
    MIT
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    MCP server that turns operator-authorized local or synthetic source records into auditable research briefs, with every finding linked to exact excerpts and hashes. Exposes a single build_research_brief tool over deterministic, no-network stdio.
    MIT
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    Enables interaction with the Unstructured API to manage data workflows, including creating and managing source connectors (S3, Azure, Google Drive, etc.), destination connectors (Weaviate, Pinecone, MongoDB, etc.), and workflows for document processing and data pipelines.
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    Generates complete PyAirbyte data pipeline code and setup instructions for moving data between 600+ Airbyte source and destination connectors or to Pandas DataFrames, using AI-powered context-aware guidance based on connector documentation.
    4
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    Enables users to interact with the Sigma Computing API to analyze documents and manage analytics data via a serverless AWS architecture. It features document search and analytics capabilities with DynamoDB-backed caching for optimized performance.
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    Official Talonic MCP server. Lets AI agents extract structured, schema-validated data from any document, including PDFs, scans, images, spreadsheets, and forms, directly inside the chat.
    11
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    5
    MIT
  • F
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    MCP server that provides AI assistants with tools to understand, validate, generate, and transform CERIF 1.6 research information, including entity browsing, XML validation, document building, and migration from CERIF 1.5.
    13