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707,230 tools. Updated 2026-10-26 22:41

"File system requirements: mounted directory, persistent state, and full R/W access" matching MCP tools:

Matching MCP Servers

  • F
    license
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    maintenance
    Enables unrestricted SQL execution (DDL/DML) on PostgreSQL databases, allowing AI agents to create, read, update, and delete data with zero query filtering.
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  • F
    license
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    quality
    B
    maintenance
    Enables AI agents to execute any SQL command (including DDL/DML) on a PostgreSQL database with zero restrictions, allowing full database control and dynamic database switching.
    1
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Matching MCP Connectors

  • Copies a local file to another location inside the configured working directory, allowing controlled file duplication without full shell access.
    MIT
  • Execute Python code with full system access for data processing, file operations, API calls, and system automation. Returns output and result, with persistent state across calls.
    MIT
  • Estimate file and directory disk usage recursively, returning per-directory byte counts as JSON. Identify space-consuming directories.
    MIT
  • Execute Python code directly in an Odoo environment to access models, modify data, and perform database operations with persistent state between calls.
    MIT
  • Request plugin file-system permission from the user, optionally scoped to a directory, for listing, globbing, file info, mkdir, and delete operations. Reads and writes work without it.
    MIT
  • List the contents of a directory in a virtual filesystem, returning file and folder names with types. Supports persistent stores for cross-session access.
    MIT
  • Check disk space usage for all mounted filesystems, returning total, used, available, and usage percentage as JSON.
    MIT
  • Restart the Spark session and wipe all state — variables, imports, and mounted tables — to start from a clean slate.
    Apache 2.0
  • Execute shell commands in a persistent environment with state retention. Run scripts, inspect files, and manage workflows with maintained directory and environment variables.
    MIT
  • Start a persistent session for code execution. Python/Node gain stateful REPL preserving variables and imports; other languages receive a persistent workspace directory. Returns session ID.
    Apache 2.0
  • Parse R or Python scripts to extract packages, file reads/writes, variables, source dependencies, and transform patterns via regex—no code execution or LLM exposure.
    AGPL 3.0
  • Initialize and configure the task trellis system for operation in local or remote mode. Must be called before any other task management operations can be performed.
    GPL 3.0
  • Read complete file contents from the file system to examine text before editing. Handles various text encodings and returns full file content.
    MIT