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Implements a server-side Model Context Protocol (MCP) in Go using Server-Sent Events (SSE) transport.
Integrates AI recruitment tools with popular AI agent frameworks, enabling access to custom hiring functionalities.
Provides common operation interfaces for Jenkins jobs through a Spring AI-based MCP Server.
Introduces pauses into workflows executed by MCP clients to ensure time-dependent operations complete.
Facilitates the creation of Model Context Protocol (MCP) clients and servers in Python, enabling standardized context provision for Large Language Models (LLMs).
Connects to Dust.tt AI agents via HTTP calls, exposing their capabilities through the MCP interface.
Assists developers with integrating Vonage API capabilities into their applications using AI code generation.
Submits URLs to search engines using the IndexNow protocol via a Model Context Protocol (MCP) server.
Surfaces the most interesting topics from a user's Bluesky follows on a daily basis.
Queries Zabbix API for current problems and trigger information.
Enables student access to Canvas LMS resources through an MCP server.
Deploys an unauthenticated Model Context Protocol (MCP) server on Cloudflare Workers for AI agent integration.
Enables seamless integration with GitHub for managing repositories, issues, files, and pull requests.
Provides TuningSearch API access for large language models, enabling free Google search capabilities.
Submits a GitHub repository as an MCP Server to the official MCPRepository registry.
Provides AI models access to fictional cat data via the Model Context Protocol.
Simulates manual, MCP-automated, and A2A-agent-driven approaches to Nginx server installation for DevOps workflow analysis.
Provides an HTTP server with Server-Sent Events and message receiving capabilities for remote servers.
Fetches data from Paylocity API endpoints using the Model Context Protocol.
Provides secure, relative filesystem access for AI agents.
Curates a collection of resources, guides, and tools for the Multi-Channel Platform (MCP) community.
Streamlines processes and optimizes operations for maximum productivity in various industries and sectors.
Provides a build-less TypeScript quickstart for developing an MCP server implementation.
Provides IP address location and latitude/longitude query functionality based on the Model Context Protocol (MCP).
Extracts content from various online sources, including webpages, YouTube videos, tweets, and PDFs.
Enables querying real-time weather information and accessing internet usage data using the Model Context Protocol.
Enables AI assistants like Claude to perform web searches using the Exa AI Search API within a secure environment.
Enables real-time push notifications through a Model-Context-Protocol server.
Enables interaction with ElevenLabs' powerful Text to Speech and audio processing APIs through the Model Context Protocol.
Enables Claude to generate speech directly on Linux systems with GPU optimizations.
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