Data Science & ML MCP 服务器

Coin API

36

Provides access to CoinMarketCap's cryptocurrency data for AI-powered applications.

Code Indexer

36

Enables AI large language models with efficient and precise code repository retrieval using the Model Context Protocol.

Semantic Scholar

35

Provides comprehensive access to academic paper data, author information, and citation networks via the Semantic Scholar API.

File Context

35

Provides file system context to Large Language Models (LLMs) for enhanced code analysis and searching.

SCAST

35

Analyzes and visualizes code by converting it into UML diagrams and flowcharts, enhanced with AI explanations.

Image Recognition

35

Provides image recognition capabilities by leveraging Anthropic and OpenAI vision APIs.

AIO

34

Enhances development workflows with AI-powered search, RAG capabilities, and integrations for GitLab, Jira, Confluence, and YouTube.

Crew AI

36

Orchestrates multi-agent workflows by automatically loading configurations and executing them via the Model Context Protocol.

Oracledb

36

Enables Large Language Models to interact with Oracle Databases, generate SQL statements, and return results using prompts.

Gemini

35

Exposes Google's Gemini model capabilities as standard Model Context Protocol (MCP) tools.

Exif

35

Extracts image metadata (EXIF, XMP, ICC, IPTC, etc.) from various image formats.

Mcp Nats

35

Enables AI models to interact with NATS messaging systems through a standardized Model Context Protocol (MCP) interface.

Binance

35

Enables AI agents to interact with the Binance cryptocurrency exchange through the Model Context Protocol (MCP).

Perplexica

35

Proxies the Perplexica AI-powered search engine for access by LLMs via the Model Context Protocol (MCP).

Meta Prompt

35

Transforms a standard Language Model into a dynamic, multi-agent system by simulating Conductor and Expert roles.

AntV

36

Equips AI development and QA workflows with comprehensive documentation and up-to-date code examples for AntV visualization libraries.

PolyMCP

34

Simplify the creation, exposure, and orchestration of tools using the Model Context Protocol (MCP) with intelligent agents.

MIE

35

Equips AI agents with a shared, persistent knowledge graph to retain facts, decisions, and context across sessions and tools.

ArifOS

35

Enforces constitutional-level safety, ethical, and truth constraints on AI agent outputs at runtime using a thermodynamic constraint engine.

Roampal

35

Enhances AI coding assistants like Claude Code and OpenCode with outcome-based, persistent memory, making them smarter across sessions.