"Using Solana RPC and gRPC Functions for Advanced Operations" matching MCP servers:

An advanced calculator MCP server that provides a wide range of mathematical operations over streamable HTTP, enabling users to perform complex calculations via natural language with any MCP client.

Provides an MCP server exposing compute, verify, and plot tools backed by Giac/Xcas for exact symbolic and numerical mathematics, enabling LLMs to solve calculus, algebra, geometry, and more with verified results.

Enables AI agents to subscribe to a deterministic daily ethics feed drawn from a four-module curriculum and retrieve read-only tools, resources, and reflection prompts covering principles, case studies, and codes of conduct.

Enables searching for upcoming academic conferences and events from WikiCFP by keywords, returning detailed information including dates, locations, submission deadlines, and related resources.

An educational MCP server deployed as an Azure Function, exposing tools like addition, weather simulation, and temperature conversion for AI agents to invoke.

Enables Claude Desktop users at the University of Ghana to read their own Sakai courses through safe, read-only tools — checking deadlines, announcements, calendars, assignments, feedback and grades, and extracting text and page images from lecture slides for study, planning and revision.

Enables AI apps to read a student's Moodle courses, upcoming and overdue due dates, assignment submission statuses, course grades, gradebook items and announcements. It is strictly read only, so it can never submit, edit or delete anything.

Enables AI apps to read a student's courses, due dates, grades, missing work, announcements, modules, discussions, syllabus, and calendar events in a read-only way. It cannot submit, edit, or delete anything, and credentials go only to the user's own school.

Enables the generation of educational content such as multiple choice questions, lesson plans, and flashcards by connecting local Ollama models to Claude. It leverages the Educhain library to provide structured AI-powered learning tools through the Model Context Protocol.

Enables Claude and ChatGPT to share a single study-progress database for interview prep, coursework, and spaced repetition, with per-user data isolation and server-side SM-2 scheduling for due reviews and study plans.

Enables live searching of licensed San Francisco preschools and child care centers, computing ELFA subsidy eligibility and net out-of-pocket costs, and generating ranked recommendations with deterministic scoring versus LLM comparisons.

A server for querying, practicing, and analyzing exam questions from Taiwan's national examinations, offering 20 tools including search, statute lookup, weak topic review, and readiness assessment.

A minimal MCP server template that offers calculator tools, resources, and prompts for learning NitroStack fundamentals, built with TypeScript and Zod.

MCP standards server that grounds K-12 lesson plans by providing tools to look up standards, progressions, curriculum, misconceptions, and learning components from open educational data.

Provides 23 modular tools for competitive programming, including problem analysis, algorithm planning, code generation, verification, testing, code review, and learning assistance.

A set of tools enabling AI agents to interact with Canvas LMS, allowing users to find relevant resources, get course information, and navigate modules through natural language queries.

Enables bidirectional lookup of Mi'kmaq and English words with definitions and examples, and provides tools for learning and dictionary statistics, integrating seamlessly with AI-powered IDEs.

MCP server exposing a university course catalog with tools for searching courses, looking up prerequisites and instructors, and generating prerequisite graphs, plus resources and a prompt template for AI academic advisors.

Enables querying Schoox LMS data (users, courses, enrollments, etc.) via natural language using AI assistants, without writing API code.

An MCP server that enforces a pedagogical workflow to teach topics step by step, using research, decomposition, and spaced retrieval practice.