MCP Servers
73,490 MCP servers for AI apps. Filter by category, badge and popularity.
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This project provides a lightweight Machine Communication Protocol (MCP) server that wraps key functionalities of the CORE.ac.uk API. It enables local programmatic access to academic content, allowing you to search works by keyword or download full metadata for individual researc
Query LCP, INP, and CLS field data from real visitors. Three tools: get_metrics, get_timeseries, get_histogram. Filter and group by device, country, page path, browser, OS, and 20+ dimensions. All data is real user monitoring (RUM) at the p75 percentile, the standard Google uses.
Corporate deep research for AI agents — this MCP server gives Claude, GPT-4, and any MCP-compatible AI client instant access to 7 live corporate intelligence sources: SEC filings, stock market data, legal entity identifiers, customer reviews, consumer complaints, web research
Corporate political exposure intelligence for AI agents via the Model Context Protocol. This MCP server queries 11 federal and international data sources in parallel — Senate lobbying, FEC campaign finance, congressional stock trades, FARA foreign agent registrations, SAM
This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free [CData MCP Server for Couchbase (beta)](https://www.cdata.com/download/download.aspx?sku=CKZK-V&type=beta).
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
