"Historical cryptocurrency market data" matching MCP servers:

A Model Context Protocol server that provides read-only access to Bybit's cryptocurrency exchange API, allowing users to query real-time cryptocurrency data using natural language.

Provides deterministic system information and developer utilities including date/time operations, OS details, math calculations, random data generation, hashing, text formatting, data validation, encoding/decoding, and log analysis.

A Model Context Protocol server that connects Gemini CLI with CoinGecko's API, enabling users to access 46 cryptocurrency data tools including price tracking, market trends, and NFT information through terminal commands.

Provides a suite of deterministic tools for time calculations, math, and string manipulation that LLMs often struggle to perform accurately. It also includes utilities for secure randomness, data validation, and basic network operations like DNS lookups.

Enables AI tools like Claude Code and Codex CLI to read and write serial port data, facilitating embedded development workflows such as coding, flashing, and debugging.

use Bitget’s API to get cryptocurrency info

A Rust + Tauri 2 desktop application that turns local project folders into persistent MCP workspaces, enabling AI agents to read files, modify code, run commands and tests, check Git status, and maintain cross-conversation development context through historical checkpoints, with built-in WSS/FRP/Cloudflare tunnels and OAuth for connecting to ChatGPT.

A Model Context Protocol server that enables secure and structured interaction with Microsoft SQL Server databases, allowing AI assistants to list tables, read data, and execute SQL queries with controlled access.

A server that provides MySQL database operations through SSE (Server-Sent Events) based on the MCP (Model-Controller-Provider) framework, enabling real-time data transmission from MySQL databases.

A production-ready foundation for developing custom Model Context Protocol (MCP) servers in TypeScript. Provides a complete layered architecture pattern, working example implementation, and comprehensive developer infrastructure to connect AI assistants with external APIs and data sources.

Registers MCP features (tools, prompts, resources) and serializes JSON-RPC requests into response data.

Enables burning optical media via the K3b CLI. Supports listing drives, burning data discs, and executing arbitrary k3bcli commands.

Provides AI assistants with direct access to HLedger accounting data and functionality, enabling natural language queries for balances, reports, journal entries, and financial analysis.

Enables interaction with Spinitron's radio playlist management and broadcasting data through a Multi-Agent Conversation Protocol interface, allowing users to query and manage radio station playlists, spins, and other broadcasting data via natural language.

An MCP Server that enables natural language interaction with the Open Policy Agent REST API, allowing users to manage policies, decisions, and data through conversational interfaces.

A JSON-RPC 2.0 compliant server that enables interaction with HDF5 data files and Slurm job scheduling through standardized API endpoints.

A communication pipe and tool suite that enables AI models to interact with external systems through mathematical calculations, remote control, and data processing. It supports multiple transport protocols including stdio, SSE, and HTTP for flexible and extensible tool integration.

Guides researchers, including those new to BPP, from raw sequence data to a validated control file that has passed a short test run. Wraps BPP command-line tools without running long analyses itself.

Enables cloud-based MCP clients to delegate privacy-sensitive or large-output tasks to a local LLM, returning sanitized placeholders or digested summaries so private data never leaves the user's network.

Enables natural language orchestration of multi-vendor network infrastructure by combining NAPALM for structured data retrieval and Netmiko for CLI execution via Nornir.