MCP Comparison
Compare features, tools, and capabilities of these MCP servers side by side.
Anyquery MCP
Anyquery MCP is the Model Context Protocol endpoint for the Anyquery SQL engine, enabling large language models (LLMs) like ChatGPT and Claude to connect to and query data through MCP. This MCP server acts as a bridge between LLMs and Anyquery’s data integrations, allowing LLMs to contextually access files, databases, and apps via the MCP interface. It complements Anyquery’s SQL querying capabilities by providing a standardized, secure channel for LLMs to request data access, execute SQL-like interactions, and receive structured results. The MCP integration is designed to be used in conjunction with Anyquery’s SQL runtime, including its MySQL-compatible server mode for client tooling, and is part of the broader MCP-enabled ecosystem described in the project docs.
MCPJungle
MCPJungle is a self-hosted MCP Gateway and Registry for AI agents. It serves as a central registry and gateway to manage Model Context Protocol (MCP) servers and the tools they expose. By consolidating MCP server registration, tool discovery, and access control, MCPJungle enables AI agents and clients to discover, group, and securely invoke tools from a single, unified gateway. The project provides a CLI, Docker-based deployment options, and enterprise-ready features such as tool grouping, access control, and observability to streamline MCP-based workflows across organizations.
| Feature | Anyquery MCP | MCPJungle |
|---|---|---|
| Verified | ||
| Official | ||
| Tools Available | 2 | 7 |
| Has Installation Guide | ||
| Has Examples | ||
| Website | ||
| Source Code |
- mcp
- gpt
- calculator__multiply
- filesystem__read_file
- deepwiki__read_wiki_contents
- time__get_current_time
- github__git_commit
- add
- subtract
Can't decide? Check out both MCP servers for more details.