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Manages long-term agent memory and serves as a Python template for building Model Context Protocol servers.
Integrates the SearXNG API and Puppeteer to provide powerful web search and live web content processing capabilities for agentic systems.
Integrates the Rhombus API to provide chatbot tools.
Creates content blocks in Notion pages using the Notion API.
Enables applications to provide context for LLMs in a standardized way, separating the concerns of providing context from LLM interaction.
Generates interactive city tours with puzzles using RAG, LLM, and MCP, based on provided text files.
Provides a Model Context Protocol server for searching and retrieving detailed movie information from OMDb and TMDb APIs.
Provides comprehensive access to the Mews hospitality platform API through a standardized Model Context Protocol interface.
Aggregates multiple third-party APIs and exposes them as unified Model Context Protocol tools.
Enables interaction with the Salesforce REST API using the Model Context Protocol.
Connects large language models like Claude Desktop to live Exact Online data via CData JDBC Drivers for natural language queries.
Enables Large Language Models to manage Java applications using the JMX API via Jolokia.
Provides a remote coding environment for AI agents to autonomously develop applications and scripts.
Manages Google Calendar events and calendars through an MCP server interface.
Implements an MCP server for Prem AI, enabling integration with Claude and other MCP-compatible clients.
Enables AI assistants to generate images, text, and audio directly via the Pollinations APIs using a Model Context Protocol server.
Enables Large Language Models (LLMs) to query live FHIR data by exposing it as relational SQL models through a simple Model Context Protocol (MCP) interface.
Enables MCP-compatible LLMs to communicate with a server and interact with the GitHub API.
Connects Large Language Models (LLMs) to the Alegra accounting API for secure data interaction and querying.
Exposes Strava athlete activity data to language-model tooling via a Model Context Protocol (MCP) server.
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