MCP Metaso – A Multi‑Modal Search Server for AI Assistants

MCP Metaso is a ready‑to‑run MCP server that turns the popular MetaSO search engine into an AI‑friendly toolset. By exposing a set of high‑performance, type‑safe endpoints through the FastMCP SDK, it lets AI assistants such as Claude Desktop query the web, documents, scholarly articles, images, videos, and podcasts—all from a single interface. The server’s purpose is to bridge the gap between raw search APIs and conversational AI, providing structured, richly formatted results that can be directly consumed by agents without additional parsing logic.

Why MCP Metaso Matters

Developers building AI workflows often need to surface up‑to‑date information from diverse sources. Traditional approaches involve calling multiple third‑party APIs, handling pagination, and normalizing disparate response schemas. MCP Metaso abstracts all of that complexity behind a single MCP server: it accepts a unified query, forwards the request to MetaSO’s search backend, and returns results in either Markdown or JSON. This eliminates boilerplate code, reduces latency with asynchronous handling, and guarantees that the assistant’s prompt remains focused on user intent rather than data plumbing.

Core Features

• Multi‑Dimensional Search – Supports six search scopes (, , , , , ) in one call, enabling assistants to surface the most relevant media type for a query.
• Rich Content Extraction – The tool pulls full‑page content and converts it into Markdown or JSON, allowing agents to present concise summaries or embed structured data directly in responses.
• Fast, Type‑Safe Implementation – Built on the FastMCP SDK, all endpoints are asynchronous and strongly typed, ensuring predictable performance under load.
• Full MCP Compatibility – Adheres strictly to the MCP 1.1.0 specification, making it plug‑and‑play with any compliant client such as Claude Desktop or other MCP‑aware assistants.

Real‑World Use Cases

• Research Assistants – Pull the latest scholarly articles or technical PDFs to answer user questions about emerging AI techniques.
• Content Creators – Quickly retrieve up‑to‑date images, videos, or podcast clips to enrich articles or social media posts.
• Enterprise Knowledge Bases – Integrate web and document search into internal chatbots, providing employees with instant access to policy documents or project documentation.
• Education Tools – Enable virtual tutors to fetch educational videos, podcasts, and academic papers on demand.

Integration into AI Workflows

Once the server is running, a client simply calls or . For example, an agent can ask the assistant to “summarize recent breakthroughs in reinforcement learning” and the server will return a concise Markdown excerpt from relevant web pages, papers, or videos. Because the output is already formatted for display, developers can skip post‑processing steps and focus on higher‑level conversational logic.

Unique Advantages

• One‑Stop Search – Consolidates multiple search modalities into a single, consistent API surface.
• Developer‑Friendly Toolset – Comes with helper scripts for automatic installation into Claude Desktop, configuration generation, and diagnostics, reducing onboarding friction.
• Open‑Source & MIT Licensed – Encourages community contributions and easy integration into proprietary projects without licensing concerns.

MCP Metaso transforms MetaSO’s raw search capabilities into a developer‑ready, AI‑centric service that speeds up the creation of knowledge‑rich conversational agents and lowers the barrier to incorporating real‑time, multi‑modal search into any AI workflow.