"How to make crypto trades using MetaMask" matching MCP servers:

An MCP server that delivers cryptocurrency sentiment analysis to AI agents.

Read-only cryptocurrency intelligence tools for AI agents, providing source-backed market research, evidence, and structured crypto data.

A mcp server that provides real-time and historical Crypto Fear & Greed Index data.

A comprehensive MCP service for cryptocurrency data acquisition with advanced technical analysis capabilities, supporting 100+ exchanges, 158 TA-Lib indicators, and dual transport protocols (stdio and HTTP/SSE).

Provides tools to research crypto trading strategies via backtesting, walk-forward validation, and paper trading, with a deflated-Sharpe overfitting check. Enables natural-language-driven analysis and interpretation of strategy performance.

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.

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

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

TradesPro is an open source MCP server that gives AI assistants structured knowledge of the skilled trades: electrical (NEC 2023), plumbing (UPC 2024), and HVAC (IRC Mechanical).

Enables fetching daily crypto news, extracting article evidence, summarizing stories, and producing rule-based insight drafts with source-linked paragraphs for downstream agents.

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.

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.

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.

Turns arXiv and LaTeX mathematical papers into theorem dependency graphs, exposing MCP tools to load papers, list theorems, get theorem details, find dependencies, and locate where theorems are used.

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

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

Enables manuscript researchers to conduct retrieval and scoring searches, inspect human-readable results, record inline reviews, rescore cached corpora, and export reports or ChatGPT-ready research packets.

Provides tools to interact with the OpenCTI platform, including checking if a campaign exists.

A read-only MCP server for EdgeDepth's market microstructure search engine, enabling users to query recorded crypto and TradFi perpetuals for market conditions, outcomes, and reproducibility-keyed evidence directly from MCP clients.

Provides AI assistants with market screening, analysis, and scoring across stocks, crypto, and forex, enabling natural language queries for trading insights.