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"How to handle REST APIs" matching MCP servers:

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    Enables semantic search and discovery of free public APIs from an extensive catalog. Provides embedding-based search over API names and descriptions, plus detailed API information retrieval.
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    MCP-сервер для REST API 1С:Предприятие через OData 3.0 -- справочники, документы, регистры, отчёты.
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    A Model Context Protocol server that connects Large Language Models to the GeoServer REST API, enabling AI assistants to query and manipulate geospatial data through natural language.
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    Provides access to Naver Search APIs, allowing AI agents to search across multiple categories (blogs, news, books, images, shopping items, etc.) with structured responses optimized for LLM consumption.
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    Apache 2.0
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    A production-ready TypeScript MCP (Model Context Protocol) server for Cisco Support APIs with comprehensive security and dual transport support. This extensible server provides access to multiple Cisco Support APIs including Bug Search, Case Management, and End-of-Life information.
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    Enables AI assistants to integrate with SAP systems via OData REST APIs for querying entity sets, performing CRUD operations, and executing function imports. It features automatic service discovery, CSRF token management, and smart connection handling without requiring the SAP RFC SDK.
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    Enables AI agents to manage databases, deploy serverless JavaScript functions, and handle cloud file storage on the Codehooks.io platform. It supports full CRUD operations on collections, key-value storage with TTL, and comprehensive system logging.
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    An MCP server that provides access to the Mixpanel REST API, enabling AI agents to query events, funnels, retention data, and user profiles. It allows users to perform complex analytics tasks and export raw event data through natural language prompts.
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    Connects to Salesforce and enables running SOQL queries, SOSL searches, managing records, and executing various Salesforce APIs via natural language.
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    Facilitates secure and type-safe interactions with both v1 and v2 of the Glide API, allowing users to manage app data and perform CRUD operations on tables via a Model Context Protocol interface.
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    Provides comprehensive tools for managing Elasticsearch clusters, including security management, search operations, and index administration. It enables users to monitor cluster health, handle InfoSec tasks, and execute complex queries using Elasticsearch Query DSL and ES|QL.
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