Data Science & ML MCP Servers

Cricket Prediction

Demonstrates building a Model Context Protocol (MCP) server in Python to expose custom tools and resources to large language models (LLMs) and MCP clients.

Poiesis

Provides seamless access to GA4GH Task Execution Service (TES) functionality, empowering AI assistants and LLMs to manage computational tasks.

KDB

Provides a Model Context Protocol (MCP) interface for querying, managing, and interacting with KDB+ databases.

Raindrop

Enables AI assistants to manage Raindrop.io bookmarks, collections, and tags via the Model Context Protocol.

Google Docs

Integrates large language models with Google Docs to enable smarter workflows and efficient document management.

Mulmocast Vision

Automatically generates professional presentation slides with business-oriented templates using large language models.

Model ID Cheatsheet

Provides AI agents with accurate, up-to-date API model IDs, pricing, context windows, and capabilities across numerous AI providers.

Vesh Agents

Empowers businesses with an open-source agentic AI framework for comprehensive revenue intelligence and data analysis.

ThruAI

Enables AI assistants to discover and utilize ThruAI's comprehensive voice AI capabilities via the Model Context Protocol.

Insight Blueprint

Orchestrates hypothesis-driven data analysis workflows, managing analysis designs, data catalogs, and review processes via an MCP server.

Server Toolkit

Builds Model Context Protocol servers in Python, offering a framework for static and dynamic plugin integration.

GraphQL Adapter

Integrate any GraphQL API with Model Context Protocol tools without configuration or code.

0gmem

Provides LLMs with structured, long-term conversational memory for accurate recall across many sessions.

Ethiopian Law

Provides a comprehensive, searchable database of 383 Ethiopian laws and regulations, complete with legal definitions and international cross-references, accessible via AI clients.

Locus

Establishes a hierarchical, markdown-based memory system for autonomous AI agents, designed to optimize context window usage and enhance knowledge retrieval.

NanoBanana

Provides an MCP server for AI image generation, leveraging Google Gemini and integrating with Claude Code and claude.ai.

Pincher

Provides a codebase intelligence server that indexes projects into layered storage for efficient querying by LLM agents.

A2A Protocol

Enables AI agents to discover, delegate tasks, and communicate using Google's Agent2Agent Protocol via an MCP interface.

ParaSwap

Provides AI agents with direct access to ParaSwap DEX aggregation for token swaps, price quotes, and liquidity data.

Infoway

Provides AI assistants with real-time financial data, market insights, and company fundamentals via the Infoway API.