Summarizes text, web pages, PDFs, EPUBs, and HTML with configurable length, language, focus, and style.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.
Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Summarizer.
contentCallable MCP tool function
typeCallable MCP tool function
maxLengthCallable MCP tool function
languageCallable MCP tool function
focusCallable MCP tool function
styleCallable MCP tool function
The 0xshellming/mcp-summarizer MCP server exposes content summarization through the Model Context Protocol. Its main summarize tool accepts source material and returns a generated summary. Supported source categories described by the project include plain text, web pages, PDF documents, EPUB books, and HTML content.
The input can be a text string, a web URL, base64-encoded PDF data, or EPUB file content. The tool uses a type value to distinguish the source format. The documented type values are text, url, pdf, and epub; HTML is listed among the supported content formats, but the excerpt does not provide a separate HTML type value.
Summarization is performed with Google's Gemini 1.5 Pro model through the 3MinTop service. The caller can set maxLength to control the maximum summary size, with a documented default of 200 characters. language selects the output language and defaults to English. An optional focus value directs attention to a particular aspect of the source, while style can request a concise summary, a detailed summary, or bullet points.
For example, an agent can pass a URL with type: "url" to summarize a web page, or provide base64 PDF content with type: "pdf". The server also includes a dynamic greeting resource using URIs in the form greeting://{name}. That resource demonstrates MCP resource behavior rather than content summarization.
The 0xshellming/mcp-summarizer MCP server is therefore suited to agents that need to reduce reading material before presenting it, extract a selected theme from a document, or produce summaries in a requested language and format. The provided material does not describe chunking, citation output, persistent storage, or batch processing.
The repository's documented setup is local and source-based. Clone the repository, install dependencies with pnpm install, compile it with pnpm run build, and start it with pnpm start. Development work can use pnpm run dev, which runs the TypeScript compiler in watch mode. Server behavior is customized in src/index.ts.
A desktop MCP client can launch the built server with Node using dist/index.js as the argument. The README shows an absolute path is required in that client configuration, so the path must be supplied by the person installing it. No environment variable names or credential configuration are specified in the provided material.
greeting://{name} demonstration resource.The README identifies Gemini 1.5 Pro and 3MinTop as the summarization backend, but does not explain service limits, supported file-size limits, error handling, network requirements, or credential setup. It also does not identify named desktop clients beyond referring generally to a desktop app. The project is licensed under MIT.
The 0xshellming/mcp-summarizer MCP server's documented installation flow builds and starts the repository locally; the supplied material does not identify a published npm, PyPI, Docker, or hosted MCP package.
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