Academic literature search, citation graphs, and PDF conversion via Semantic Scholar.

Search multiple indices, index data, and get personalized recommendations

Grainulator

Research that compiles.

12306 Mcp

This is a 12306 ticket search server based on the Model Context Protocol (MCP).

Pay-per-use web search for AI agents. Lightning invoice, Ed25519 signature, karma discounts.

Build Mcp Server

MCP server for Microsoft Build 2025 sessions — 3 tools, BM25 search, ASP.NET Core

Mcp Search

MCP server for web search powered by SearXNG — privacy-respecting self-hosted metasearch

Search the web, generate AI responses, and create embeddings with real-time information

Croatian legislation via MCP — full-text search across statutes and provisions

Search federal government contract opportunities from SAM.gov via Claude

Semantic code search and analysis from CodeAlive for AI assistants and agents.

A Model Context Protocol (MCP) server that provides access to the Metropolitan Museum of Art Collection through natural language interactions. This server allows AI models to search The Met's art collection and have art works available as a Resource.

Pubmed Search Mcp

🔬 Professional MCP server for biomedical literature research — 40 tools, multi-source search (PubMed, Europe PMC, CORE, OpenAlex), full-text access, citation networks, PICO analysis, and more

HamQTH.com MCP server. Free callsign lookup, DX spots, RBN data, SAVP verification.

Search 3,100+ developer tools via MCP. Install commands, compatibility data, health scores.

Query Danish laws and regulations, EU cross-references, case law, and preparatory works

Code intelligence MCP server — impact analysis, semantic search, dependency graphs

Curated knowledge API for AI agents - skill packs, semantic search, validated patterns.

MCP server for codewiki.google: search repos, fetch wiki docs, ask questions

Lexis

Lexical + structural code search MCP server for Claude Code, Cursor, Windsurf and any MCP client. Gives AI assistants 28 precise search tools so they find the right code fast 80% fewer tokens per task. No vectors, no embeddings, just ripgrep.