"Search for 'sequ' - possibly sequence-related queries or prefixes" matching MCP servers:

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

Generates sequence diagram images from Mermaid syntax or natural language descriptions, supporting multiple output formats (SVG, PNG) with customizable themes and dimensions.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

Enables the generation, mutation, and evolution of DNA and protein sequences using various evolutionary models and phylogenetic algorithms. It supports realistic next-generation sequencing read simulation and population-level evolutionary tracking for bioinformatics research and testing.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

Enables deterministic, non-invasive evaluation of spontaneous baroreflex sensitivity from beat-to-beat systolic blood pressure and ECG RR-interval streams via sequence analysis, reporting mean BRS, cardiovagal tone, and autonomic resilience.

Discovers related blockchain addresses and domain names for web3 identities across different platforms including Ethereum, Farcaster, Lens, and ENS using next.id's relation server data.

MCP search and evidence tool for AI agents. Rewrites queries, zooms into source domains, and returns sourced answers with metrics.

MCP server for hybrid documentation search (keyword + vector) and RAG chat, enabling natural language queries with cited answers from indexed repositories.

This MCP server enables deterministic, zero-dependency evaluation of eye-movement kinetics, including peak-velocity saturation, reaction latency, antisaccade directional errors, and executive inhibitory control for personal-agent focus gating.

Enables SDK and MCP clients to perform repository code search and retrieval, inspect current source and related evidence, and optionally use semantic search, reranking, and web sources while keeping the calling agent in control.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

Enables deterministic calculation of spontaneous cardiac baroreflex sensitivity from beat-to-beat systolic blood pressure and RR-interval sequences, including mean BRS in ms/mmHg, cardiovagal tone, and autonomic resilience scoring through JSON-RPC tools for LLMs and autonomous agents.

Enables searching PubMed using natural language questions by translating queries to PubMed syntax and returning semantically relevant results. It also supports related articles, citation chains, and bibliography export via MCP tools.

A server that enables document searching using Vertex AI with Gemini grounding, improving search results by grounding responses in private data stored in Vertex AI Datastore.

Enables deterministic evaluation of saccadic peak velocity saturation, reaction latency, antisaccade directional error rate, and frontal executive inhibitory control through JSON-RPC tool integration for LLMs and autonomous agents.

A local MCP server that gives Claude Code web search capabilities using DuckDuckGo, enabling discovery of URLs from natural language queries.

Enables finding information online, reading web pages, finding images, capturing screenshots, and performing multi-source research with per-answer confidence.

Provides an MCP server that enables web search and page extraction across multiple providers with automatic failover and quota rotation, plus a local dashboard for managing keys, engine order, and request history.

A local-first, no-API-key MCP server that enables LLMs to search the web, fetch pages, and read documents using multiple engines and smart fallbacks.

Enables AI assistants to perform Google searches with real, resolvable sources and transparent search terms.

An MCP server that allows coding agents to search the Swift Package Index and retrieve GitHub READMEs without requiring an API key. It features comprehensive search filters for stars, platforms, and licenses, providing token-efficient responses optimized for LLM comprehension.

MCP server for full-text search across PDF document collections with offline indexing, ranked results, snippets, and page rendering.

Enables Codex to consult Claude Code for a second opinion through a local stdio MCP server, exposing the ask_claude tool for text-only reviews and recommendations using existing Claude Code authentication. Codex can request findings and tradeoff analysis without allowing Claude to edit files or run commands.

MCP server for Google Search using a logged-in browser profile, delivering personalized, ad-free results with advanced operators and pagination. It also fetches web pages as markdown through the same browser session.

Enables web search without API keys using DuckDuckGo and Bing search engines, and retrieves webpage content. Supports multiple search engines simultaneously with privacy protection and asynchronous processing.

Enables broad web search for current, time-sensitive information, returning short title, URL, and snippet results rather than full pages. It supports region and result-count parameters through a keyless multi-engine backend.

Enables semantic search across documentation stored in Gemini FileSearchStores, returning AI-generated answers with source citations.