"Using an MCP client like Windsurf to communicate on Discord" matching MCP servers:

Enables AI assistants to interact with the SciX (formerly NASA ADS) API to search scientific literature, export citations, and analyze bibliometric data. It supports advanced tools for managing libraries, resolving astronomical object names, and exploring citation networks.

Connects AI agents to Airframe's product intelligence and expert network, enabling product search, comparison, expert discovery, and market research queries.

Made-to-order data for AI agents via x402 micropayments on Base. Describe a need in plain language, get a custom quote, pay per call. No signup, no API keys. HTTP + MCP transports. 5 tools.

Enables read-only, provenance-aware research over Discord by pairing an explicitly authorized Discord Desktop local-RPC/OAuth2 path for bounded live channel snapshots with message, thread, and channel search across a locally maintained archive, without writes, deletes, or session-token automation.

Converts PDF files to text for use with MCP-compatible applications like Cursor IDE.

Enables an agent to run ten ready-made research and monitoring workflows — competitor digests, cited reports, paper alerts, market maps, regulatory and due-diligence watches — pulling from Firecrawl, Tavily, GitHub and landing results in Notion, Slack, Google Docs, Sheets and Linear. Fields are filed with the user's own keys held in the operating system keychain, and every action that creates, sends or changes anything is shown and approved first.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Enables offline local LLM analysis of text data via MCP, taking raw text and an instruction to return analysis results without cloud calls.

A Python MCP server providing 11 tools for querying KenPom basketball analytics, including efficiency ratings, game predictions, four factors, and more through Claude.

Converts Digital Object Identifiers (DOIs) to BibTeX format using the official DOI content negotiation API, enabling users to quickly generate bibliography entries for academic papers.

Answers operational questions about route on-time performance, such as lateness rates and trip evidence, using structured tools for route summary, trip lateness, and data quality.

Compute and analyze bus route lateness using trip data, with drill-down and cross-referencing against rider complaints and operational logs.

Exposes 26 structured analytical tools over Climate Finance Update datasets, enabling fund-level financial analysis, portfolio aggregations, and data quality diagnostics without requiring the client to write data access code.

MCP server exposing 40 best-practice product management skills plus workflows and lifecycle tools, instantly accessible to any AI via Model Context Protocol.

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

Enables Claude Code to convert PDF files to high-quality PNG images, download academic papers, and batch process PDFs with automatic folder organization.

Processes documents, analyzes GitHub repositories, and researches companies using local Gemma3 AI to extract structured business insights for generating compelling case studies.

Enables searching and retrieving UK research grants, award values, institutions, and publications from the UKRI Gateway to Research API without authentication.

MCP server providing data analytics tools for AI agents to load, clean, analyze data, generate charts and dashboards.

Enables MCP clients to read Google Analytics 4 data, deployed as a Cloudflare Worker with service account authentication.