Developer Tools MCP Servers

AI Makerspace Tavily

Integrates the Tavily API into an MCP server to provide robust web search capabilities.

Strateegia

Enables AI assistants to interact with and access data from Strateegia projects.

MCSMCP

Deploys an MCP server and integrates it with Microsoft Copilot Studio for enhanced AI model context.

Casual Servers

Empowers large language models with external tool-calling capabilities for mathematical operations, time management, weather information, and linguistic lookups.

Tensorone

Integrates AI agents into the Web3 ecosystem, leveraging GPU computing and large language models to build innovative decentralized applications.

AWorld

Scales agent training through sophisticated runtime definitions and parallelization techniques.

Charcount

Counts characters or bytes in provided text with customizable whitespace inclusion.

Mysql

Provides read-only access to MySQL databases for inspection by Large Language Models (LLMs).

Google Calendar

Integrates Google Calendar management functionalities for any MCP-compatible client.

Nutrient Document Engine

Connects AI agents to document processing, simplifying interactions through natural language.

MathViz

Transforms mathematical problem descriptions into visual plots using AI.

Weather

Provides weather information for various cities, with paywalled access to London requiring Solana devnet payment.

Model Context Protocol Collection

Curates a comprehensive list of over 50 Model Context Protocol servers designed to extend AI capabilities across diverse domains.

Gabi

Exposes the Gabi API to enable running queries against a target system.

Salesforce

Enables interaction with the Salesforce REST API using the Model Context Protocol.

Algorand

Provides Algorand blockchain transaction capabilities and general utility tools for AI assistants.

Google Places

Provides a server-side interface to search, retrieve details, and find nearby locations using the Google Places API.

Spring AI Demo

Exposes a Model Context Protocol (MCP) service using Spring AI.

MCP Python SDK

Enables applications to provide context for LLMs in a standardized way, separating the concerns of providing context from LLM interaction.

Forge

Facilitates the creation of new software projects by bridging large language models with the Forge project scaffolding API.