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Provides access to the Perplexity AI API via the MCP protocol, offering coding assistance and conversational AI.
Enables AI agents to interact with CosmWasm smart contracts programmatically.
Demonstrates how to mount a Model Context Protocol (MCP) server on a FastAPI application.
Facilitates interaction with the Azure DevOps API, enabling project management and repository operations.
Performs DNS lookups for various record types through a standardized Model Context Protocol (MCP) interface.
Simplifies deployment of tools, resources, and prompts for agents.
Provides a dynamic server for exposing Python functions as instantly available, AI-callable tools.
Provides a server implementation for the Model Context Protocol, enabling searching and extracting information from arXiv scientific papers.
Enables large language models to acquire precise network time through NTP.
Provides a Model Context Protocol (MCP) server for managing and serving custom prompts to Amazon Q.
Demonstrates how to build Model Context Protocol (MCP) servers using the Python SDK.
Connects SendForSign API functionalities to an MCP client, facilitating template management.
Integrates Equinix APIs and documentation into a Model Context Protocol (MCP) server for local experimentation and learning.
Provides a Python library for advanced geospatial analysis, exposing Turf.js functionalities as an MCP service.
Provides efficient GDScript code analysis for AI assistants by extracting file structure, symbols, and dependencies.
Provides large language models and agentic tools with safe, read-only access to Boston's open data portal for exploring trusted civic information.
Exposes Nmap network scanning capabilities as callable tools through a Model Context Protocol (MCP) server.
Efficiently manages memory for AI agents, optimizing their performance and enabling long-term information retention.
Introduces controlled delays by waiting for a specified duration before returning a response.
Transforms standard Web APIs into AI-driven agents capable of orchestrating tasks and auditing GitHub repositories in real-time.
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