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580,875 tools. Updated 2026-09-16 15:11

"JSON File Upload, Data Vectorization, and LLM Similarity Search" matching MCP tools:

  • Send a chunk of genome data to continue a chunked upload session, enabling stepwise file transfer for pharmacogenomic analysis.
    MIT
  • Upload files to RSpace documents and attach them as proper file attachments in one step. Supports all file types including images, PDFs, and data files.
    AGPL 3.0
  • Upload a file to a text namespace for processing and indexing. The file is queued after direct upload to storage.
    Apache 2.0
  • Identify potential duplicate memory pairs by scanning similarity scores, and optionally use LLM-powered comparison to confirm semantic duplicates.
    MIT
  • Upload SharpHound or AzureHound collection files (ZIP or JSON) to BloodHound Enterprise for ingest and attack path analysis. Handles single or multi-file uploads via job management.
    GPL 3.0

Matching MCP Servers

  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables agents to securely stage, validate, and submit binary data for on-premises storage, then list, inspect, process via registered server-side processors, and token-guarded delete those assets using opaque identifiers. Upload bytes travel over a separate data plane rather than through MCP JSON, with staging, validation, and prepare/apply/verify flows enforced throughout.
    -

Matching MCP Connectors

  • Upload files to a file input on a webpage. Specify a CSS selector and file paths, then trigger change events to initiate upload logic.
    MIT
    Destructive
  • Upload local files to Databricks File System (DBFS) for storage of scripts, temporary files, and datasets. Supports chunked upload for large files with retry logic.
    MIT
  • Upload CSV/JSON data to a designated file and execute an import action, with mapping parameters to target specific dimensions like Version.
    MIT
  • Upload a local file, split its content into RAG-ready text chunks, and get structured JSON output. Supports PDF, MD, TXT, YAML, JSON up to 50 MB.
    MIT
  • Search the web with DuckDuckGo and return context scored by semantic similarity to prioritize relevant results.
    Python
    MIT
  • Search Collibra documentation using semantic or hybrid queries to retrieve top relevant chunks with file paths, headings, and similarity scores, ideal for conceptual and 'how do I' questions.
    Apache 2.0
  • Upload a file to a FileSearch store to enable semantic search. Files are chunked and embedded for retrieval.
    MIT
  • Upload a file from local disk to a wiki's File namespace, returning the file title and URL. The upload appears in the wiki's upload log and fails if the target file already exists.
    MIT
  • Search your markdown notes using semantic similarity, retrieving ranked articles with relevance scores.
    MIT