"Analyzing Python Modules, Docker Files, and Generating Mock Data or Outputs" matching MCP servers:

Spin up deterministic mock MCP servers from JSON fixture files for testing MCP clients and agents.

Generates schema-compliant mock data from OpenAPI JSON Schema definitions using AI, enabling seamless testing without manual fixtures.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

A minimal local HTTP MCP mock server for development and testing, providing predictable tool responses with OAuth token support and zero dependencies.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

A local stdio MCP server for managing files on XServer via SFTP, enabling secure file operations, backups, and workspace management for XServer hosting.

Generates test files locally (images, PDFs, CSVs, corrupted files, etc.) from natural language prompts, with configurable sizes and safety limits.

A lightweight MCP server for basic file operations, enabling reading, writing, and listing files securely via the Model Context Protocol.

A mock MCP server for testing MCP client implementations and development workflows. Supports tools, prompts, and resources across multiple transport protocols (stdio, HTTP, SSE).

A zero-dependency mock MCP server for testing MCP clients and harnesses, with configurable tools and canned responses.

This TypeScript-based MCP server implements a simple notes system, allowing the creation, listing, and summarization of text notes using MCP concepts with note:// URIs and metadata.

MCP server to mock OpenAI, Anthropic, and Google Gemini responses for testing AI integrations without real API keys or token spend.

Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.

Enables ChatGPT/Codex to read, search, and edit files in a single allowed folder on Windows through OpenAI Secure MCP Tunnel.

Enables inspecting, orchestrating, and troubleshooting Docker Engine and Docker Compose environments through six consolidated high-leverage MCP tools.

Provides Docker container creation and image pulling via the Docker Engine API, with safety guardrails against privileged operations and network exposure.

Enables AI agents to search and query the public DOJ Epstein Files release across 20 databases, resolve EFTA numbers to official DOJ PDFs, and cross-check viral claims against a fact-checked registry.

Enables AI agents to safely explore directories, read files, search content by pattern or filename, and edit files with checksum verification and dry-run preview within sandboxed filesystem access.

A tool that helps AI agents interact with Docker containers on local or remote machines, allowing users to manage and troubleshoot containers without Docker knowledge.

Enables read-only listing and reading of files in an Azure Files SMB share, enforcing each user's NTFS permissions per request.