MetaMCP FAQs

Question 1

How does MetaMCP achieve significant token savings?

Accepted Answer

Instead of an LLM processing individual schemas from many MCP servers, MetaMCP collapses all those tools into 6 core tools. This minimizes the schema overhead, saving thousands of tokens per request and providing more room for actual conversational context and work.

Question 2

What are the core tools an LLM interacts with through MetaMCP?

Accepted Answer

LLMs interact with MetaMCP via 6 tools: `mcp_discover` for finding tools, `mcp_provision` for resolving capabilities, `mcp_call` for executing tools on specific servers, and `mcp_execute` for running JavaScript workflows. Additionally, `mcp_skill_discover` and `mcp_skill_advise` help with skill awareness.

Question 3

What is MetaMCP and what problem does it solve for LLMs?

Accepted Answer

MetaMCP consolidates numerous Model Context Protocol (MCP) servers into a streamlined interface of 6 core tools for large language models (LLMs). This dramatically reduces the context token overhead caused by multiple server schemas, making LLM interactions more efficient and cost-effective.

Question 4

What advanced features does MetaMCP offer beyond token savings?

Accepted Answer

MetaMCP handles critical infrastructure aspects like connection pooling, server process lifecycle management, robust error recovery, and intelligent schema caching. It also provides an `mcp_execute` tool for running JavaScript workflows within a V8 sandbox, enabling complex, multi-step LLM-driven actions.

Question 5

How can I integrate MCP servers with MetaMCP?

Accepted Answer

MetaMCP simplifies integration with a curated gallery of 122 MCP servers that can be added with a single command (e.g., `metamcp add playwright`). You can also manually configure local or remote MCP servers using a `.mcp.json` file, supporting various transport types like stdio, HTTP, and SSE.

MetaMCP

MetaMCP

주요 기능

사용 사례

주요 기능

사용 사례