"Fetching data from crypto markets and exchanges" matching MCP servers:

MCP server with 562 tools accessing 114 government data APIs covering economic, health, education, energy, and more from federal, state, and international sources.

Official Bright Data server for the Model Context Protocol that enables AI assistants like Claude Desktop to reference and make decisions based on real-time public web data.

MCP server + TypeScript SDK for 36 U.S. government data APIs — 188 tools. Treasury, FRED, Congress, FDA, CDC, FEC, lobbying, and more. Works with VS Code Copilot, Claude Desktop, Cursor.

Provides AI assistants with access to ShopSavvy's comprehensive product data, pricing information, and historical price tracking, enabling product lookup by barcode or ASIN, current offers, price history, and scheduling for automatic monitoring.

Read-only MCP server for Pear Protocol that gives Claude access to markets, pair ratios, positions, orders, trade history, and portfolio.

Enables AI agents to discover and analyze prediction markets, execute trades, and manage positions on Polymarket via the Model Context Protocol.

Enables fetching Toggl Track v9 time entries for a single date with timezone awareness.

A Python MCP server for web research that enables fetching web pages, searching, batch-fetching, extracting links, and summarizing content via client-side sampling, with optional local file access.

A Model Context Protocol server that enables AI assistants and applications to interact with decentralized exchanges (DEXs), allowing users to get quotes for token swaps and execute swap transactions.

Enables AI assistants to search and retrieve records from the Digital Guitar Archive database using full-text search and field-specific filters. It provides tools for fetching detailed record information and listing historical source libraries.

A lightweight MCP server that enables AI assistants to execute local development tools and retrieve system status with low latency over stdio or HTTP.

An MCP server that provides AI clients with access to developer documentation via llms.txt files. Exposes tools, resources, and prompts.

A local-first, no-API-key MCP server that enables LLMs to search the web, fetch pages, and read documents using multiple engines and smart fallbacks.

Enables AI assistants to perform Google searches with real, resolvable sources and transparent search terms.

MCP server for overseer.nvim — gives any MCP-capable coding agent running inside Neovim (Claude Code, Codex, Gemini CLI, opencode) the same visibility and control over tasks the user has: list, run, tail, restart, stop. Agent-started dev servers land in the user's own task list instead of becoming invisible orphaned processes.

Enables AI models to access and search offline Wikipedia and other knowledge bases stored in ZIM format files. Provides intelligent content retrieval, structured browsing, advanced search capabilities, and metadata extraction for comprehensive offline knowledge access.

Read-only MCP server for Grafana Loki: lets AI agents (Claude Code, Cursor, Copilot) discover labels, read bounded LogQL pages, count lines by label or time, and export logs — across several Loki stands

Enables multi-level reasoning with configurable depth levels, session-based state management, structured thought input, and real-time trace resources.

Relays error logs from other MCP servers when an LLM call fails and the returned error message is unclear, helping the model handle errors more intelligently.

Local MCP server for generating image assets with Google Gemini (Nano Banana 2 / Pro). Supports transparent PNG/WebP output, exact resizing/cropping, up to 14 reference images, and Google Search grounding.