"Semantic Search API Solutions" matching MCP servers:

Provides AI-powered search, web search, image search, video search, news search, and web scraping via Kivest AI Search API, with smart rate limiting and request queuing.

Enables agents to interact with a governed semantic layer for querying and authoring metrics, providing tools for discovery, planning, validation, and execution of analytics queries.

Enables MCP clients to perform web searches through multiple AI models, with dual-mode routing for fast or cited results and consensus-based multi-engine querying to cross-verify information.

Enables face detection and recognition in Agentic AI workflows using Azure Face API, supporting attribute detection, image comparison, and face recognition.

Enables integration with Google Cloud Vertex AI Search for enterprise search capabilities through a stdio-based MCP server.

Enables estimating LLM hallucination and confabulation by clustering sampled responses into semantic equivalence classes and computing semantic entropy. It provides a plug-and-play validation filter for agent pipelines using the MCP protocol.

Enables detecting LLM hallucinations and confabulations by clustering sampled responses into semantic equivalence classes and computing semantic entropy.

A FastMCP-based Model Context Protocol (MCP) server that provides unified access to multiple AI APIs including OpenAI GPT, Google Gemini, Anthropic Claude, and xAI Grok.

Enables AI agents to store, search, and recall semantic memories with three memory types (semantic, episodic, procedural) and auto-consolidation, compounding intelligence over time.

Embedding space analysis toolkit that measures semantic drift, traces trajectory dynamics, and projects passages onto caller-defined semantic axes, exposed as MCP tools for agentic integration.

An MCP server that integrates with Poe's API to provide AI-powered search and research tools from Perplexity, Reka, Exa, and Linkup.

Enables agents to perform semantic search, text comparison, clustering, and zero-shot classification locally without API costs, allowing repeated in-loop use.

MCP server for Google's Gemini File Search (RAG). Manage file search stores, upload documents, and query with RAG through 12 tools.

MCP server that provides file operations and Moonshot API-powered tools (reasoning, code review, testing, research, web search, agent) for Kimi K2.5, requiring only a Moonshot API key.

Enables MCP clients to perform X/Grok searches through xAI's server-side search tool using the Responses API, returning upstream results without rewriting.

Provides intelligent search aggregation for AI agents, automatically detecting intent and returning structured results with links to platforms for various categories like movies, books, products, courses, and more.

Provides web and image search using the Doubao (Volcengine) API with configurable parameters.

Enables all Yandex search types (web, generative, image, and image-by-image) via StreamableHTTP, including deferred operations, and is containerized for use as an HTTP-MCP backend in Docker/Compose stacks.

Semantic code search for Claude Code, enabling natural language codebase indexing and search using AI embeddings.

Enables AI cost calculation, comparison, and optimization across major providers like Anthropic, OpenAI, Google, Meta, and Mistral. Supports cost estimation, budget-aware model finding, and token estimation through a simple API and MCP integration.