"A server with Bybit integration capable of interacting with P2P" matching MCP servers:

An MCP (Model Context Protocol) server that turns the book Deep Learning with Python (François Chollet) into a searchable knowledge base, so Claude can act as a deep-learning/ML expert grounded in the book's content.

Enables comprehensive management of Anki decks and notes through the Model Context Protocol, including bulk operations and note type customization. It features integrated high-quality audio generation for flashcards using ElevenLabs and Google Cloud Text-to-Speech APIs.

An MCP server for interacting with the Tripura State Board of Secondary Education API, auto-generated using AG2's MCP builder to enable conversational access to education data.

Bilingual (EN/ES) AI-writing detection that shows the evidence instead of a percentage: named tells with line and column, hidden-character inspection, and citation cross-checking against a document's own bibliography. Seven of its nine tools run entirely locally and never touch the network.

Provides access to thousands of interactive self-awareness scenarios, behavioral archetypes, and breakthrough exercises from the Levels of Self development game. It enables AI assistants to guide users through pattern recognition and developmental coaching across seven levels of self-awareness.

A multi-agent AI tutor that delivers personalized lessons, resolves doubts with RAG, generates quizzes, and tracks progress, all accessible via MCP for Claude Desktop.

An MCP-compatible Flask server that integrates with the educhain Python library to dynamically generate educational content for Claude Desktop, including multiple-choice questions, lesson plans, and flashcards.

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

Provides comprehensive word definitions, pronunciations, meanings, and examples for any English word using the Free Dictionary API. Includes a random word-of-the-day feature with difficulty levels for vocabulary building.

A local MCP server for Canvas LMS that enables querying courses, assignments, grades, modules, and more from any MCP-compatible AI client.

Enables AI assistants to access PSG College of Technology e-campus portal data including CA marks, attendance records, timetable schedules, and course information through natural language queries.

MCP server that exposes a university course catalog to LLMs, enabling course search, prerequisite lookup, instructor details, and department directory through natural language.

Provides LLM assistants with course search, prerequisite lookup, instructor information, and prerequisite graph tools backed by a SQLite database, enabling AI-powered academic advising.

Provides intelligent access to a university course catalog with full-text search, prerequisite tracking, instructor lookups, and course comparison prompts.

This MCP server enables interaction with the Punjab State Board of Technical Education and Industrial Training API, allowing access to technical education services and information through natural language.

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 the Urban Institute's Education Data Portal — harmonized federal data on schools, school districts, and colleges — through a discovery-first set of tools that search and describe datasets, fetch raw records or aggregated statistics, decode coded values, and resolve institution names to IDs, with no API key required and read-only access to the live API.

Educational tools agent by Birkan Yavuz — an A2A + MCP server for classroom tools, with creator attribution in every result. It offers a catalog of 24 real classroom activities, including math visualizers and reading and sight-word tools.

Provides tools for managing student knowledge graphs, enabling structured representation of courses, assignments, exams, concepts, and study resources.

An educational MCP server example demonstrating how to build a server that integrates with LLM clients like Claude Desktop.

Enables MCP-capable agents to inspect a local Synthesizer installation, query local grids and APIs, find examples, plot grid spectra, and validate scripts, so answers are grounded in the user's actual environment.

Provides a comprehensive creative thinking tool with methods like structured process, perspective shift, and constraint-based innovation to enhance divergent thinking.

Enables read-only consultation of the latest published content on AI applied to medicine—articles, news, podcasts, lessons, events, conferences and repositories—through tools to list recent items, search by topic, and open item summaries with links.

Enables integration with LeetCode APIs to retrieve problems, contests, solutions, and user data, support daily challenges and advanced searches, and perform authenticated actions such as running or submitting code and managing notes.

Read-only MCP server that enables assistants to retrieve sourced dyscalculia prevalence figures with their study references (DOI or PMID where available), chart and table datasets, and plain descriptions of the five number-skill screening games. It lets users ask which study supports a given statistic and get citations and credit details without ever scoring or diagnosing a person.

Calculates pizza dough ingredient quantities using baker's percentages from ball count, weight, hydration, flour blend, and fermentation schedule. Returns grams of each flour, water, salt, and yeast with a readable summary and structured JSON.

A minimal Model Context Protocol server built with the official Python SDK. It exposes one tool, define, which looks up the definition of an English word using the free dictionaryapi.dev API.

Enables natural-language querying of course, teacher, and assignment information stored in a SQLite database, including fuzzy course search, teacher lookups, weekly schedules, and assignment deadlines.

Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.

Enables browsing situation groups and reading full-text chapters from a curated library of 403 deep reads, with the model matching situations to entries instead of using keyword search.