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"Analyzing Large Amounts of Text" matching MCP servers:

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    Read-only, deterministic MCP server for the WebAssembly core specification, enabling querying of instructions, types, sections, proposals, and spec text via tools like instruction_get, section_get, and spec_search.
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    MIT
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    Enables AI agents to efficiently process large local and online PDFs through selective extraction of text, images, and metadata. It provides tools for content search and document outline navigation to optimize context window usage.
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    MCP server for GoHighLevel documentation, enabling agents to search docs, list endpoints, and fetch focused API details without loading large files.
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    MCP server that provides 22 tools to manage Apidog API documentation, including importing OpenAPI specs, exporting, diffing, analyzing, and bulk-editing endpoints.
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    MIT
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    Enables LLMs to read and extract content from PDF files with high-fidelity LaTeX recognition and layout awareness using a Python-based extraction engine. It includes a robust Node.js fallback and supports page range filtering for efficient processing of large documents.
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    MIT
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    MCP server for 1C:БИТ with a knowledge base of user instructions (full-text search) and RBAC access profiles (keyword-based profile suggestion, roles matrix, validation, approval levels).
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    Search and explore a catalog of 2,000+ MCP servers — full-text search, trending, hot, categories, and side-by-side comparison — from any MCP client. A zero-dependency stdio bridge over the hosted awesome-mcp.tools endpoint.
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    MIT
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    A Model Context Protocol server that enables the extraction of text, metadata, and embedded images from PDF files. It provides tools for searching text with context, reading specific pages, and counting total pages within a document.
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    Provides access to OpenAlex's catalog of 240+ million scholarly works through 18 specialized tools for conducting literature reviews, analyzing citations, tracking research trends, and mapping the scholarly landscape including authors, institutions, and collaboration networks.
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    MIT
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    An MCP server that provides tools for exploring large OpenAPI schemas without loading entire schemas into LLM context. Perfect for discovering and analyzing endpoints, data models, and API structure efficiently.
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    MIT
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    Provides offline search and retrieval of OpenZeppelin Contracts documentation with fast full-text search. Enables querying contract APIs, functions, events, and guides for both v4.x and v5.x versions with NatSpec documentation extracted from Solidity source files.
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    A project-agnostic Open Knowledge Format MCP server that indexes Markdown concepts with YAML frontmatter and provides CLI and MCP tools for search, validation, and graph navigation of structured knowledge.
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    MIT