"Importing FastMCP from the mcp.server Python Module" matching MCP servers:

x402 capability chassis: 170+ AI-callable, pay-per-call data tools (US/global equities, crypto/DeFi, prediction markets, gov/legal, research, infra) settled in USDC on Base mainnet via the Coinbase CDP facilitator. No API keys or accounts — the x402 payment is the auth. Remote MCP at https://the-stall.intuitek.ai/mcp.

Enables AI agents to directly manipulate Jupyter Notebook cells and structure through a secure, well-defined API, overcoming Cursor's AI agent mode limitations.

Access to the new Open English Translation of the Bible with both a Readers' Version and a Literal Version

Provides AI assistants with real-time and historical gold buying condition scores, including current readings, past data, and zone performance since 1971.

Exposes science functions like generating random points and plotting sine waves as MCP tools.

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.

Seven remote MCP servers exposing 51 published Apify scrapers as agent tools: company diligence, social listening, recruiting, real estate, lead generation, e-commerce and academic research. Billed per result, and a call that returns nothing is never charged.

Query breaking news, verified statistics, and editorial analysis from The Agent Times directly from any AI agent via MCP.

Enables AI agents to query breaking news, verified statistics, and editorial analysis from The Agent Times, covering platforms, commerce, infrastructure, regulations, labor markets, and adoption metrics in the agent economy.

A Python implementation of the Model Context Protocol (MCP) server that enables searching and extracting information from arXiv papers, designed to be extensible with additional MCP tools.

A Model Context Protocol server built with FastMCP that provides financial data tools for AI agents, enabling them to access and analyze stock market information from Yahoo Finance through natural language queries.

Enables secure execution of statistical Python code in isolated micro-VM sandboxes, generating charts and analytical summaries.

Provides SQL access to the ANSES Ciqual French food composition database, enabling query of nutritional data for over 3,000 foods with full-text search support.

Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.

Enables AI agents to hire verified human operators for tasks requiring physical presence, human perception, or judgment, such as real-world verification, product testing, and data collection.

Provides access to 61 public digital libraries through a single unified interface, enabling users to search and retrieve information from academic papers, books, legal records, and more using natural language.

Enables natural language interaction with rasdaman databases, allowing users to list coverages, describe datacubes, and execute WCPS queries.

Provides AI agents with real-time access to corporate credit data, including debt structures, bond pricing, and guarantor chains extracted from SEC filings. It enables complex financial analysis such as screening companies by leverage, tracing corporate hierarchies, and searching covenant language.

A collection of MCP servers for chemical engineering and chemistry applications, enabling AI assistants to perform thermodynamic calculations, equation of state modeling, and phase equilibrium computations.

Enables plain-English description of training data needs to search Hugging Face and GitHub, composing coverage-scored training packs without API keys or Bridge.