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164,693 tools. Last updated 2026-05-31 07:44

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

  • 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
  • Export your learned routing profile and upload it to share with the community. Publish routing patterns that benefit other llm-router users.
    MIT
  • 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

Matching MCP Servers

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    Enables blazingly fast file and content searching in large codebases using ripgrep, with intelligent filtering, fuzzy finding, and directory tree visualization while respecting .gitignore and avoiding common bloat directories.
    Last updated
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    MIT

Matching MCP Connectors

  • Deterministic JSON repair for LLM agents. Strips prose preambles, fixes malformed control characters, repairs truncated structures, and validates against JSON Schema — no LLM calls, no retries. Stops session poisoning in long-running agents.

  • Compare two JSON files deeply without worrying about key or array order. Detect missing, extra, an…

  • Search your markdown notes using semantic similarity, retrieving ranked articles with relevance scores.
    MIT
  • Extract and convert packet data from a PCAP file into JSON format using WireMCP for LLM-driven network analysis, enabling threat detection and diagnostics.
    MIT
  • Find semantically similar vectors using cosine similarity to retrieve relevant data from vector databases. Supports namespace filtering and similarity thresholds for precise search results.
    MIT
  • Upload file chunks as base64 to a temporary Colab runtime file, enabling incremental file transfer through the browser upload API.
    Apache 2.0
  • Execute data quality validation rules from a YAML file against DuckDB, BigQuery, Athena, Databricks, or Postgres, returning a JSON report with optional LLM-driven root cause analysis.
    Apache 2.0
  • Filter JSON data from files or URLs using a shape object to extract specific fields and reduce context size for LLM processing.
    MIT