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Serves Go documentation efficiently to LLMs via the Model Context Protocol, reducing token usage and improving project understanding.
Enables Large Language Models to execute AWS Lambda functions as tools via Anthropic's Model Control Protocol (MCP) without code modifications.
Enables live webcam image capture and screenshot requests within Claude Desktop.
Provides a standardized interface for interacting with Notion's API as a Model Context Protocol (MCP) server.
Serves Swagger/OpenAPI specifications through the Model Context Protocol.
Enables AI assistants to interact with WordPress sites through the WordPress REST API using natural language.
Enables email management through natural language conversations with Claude, supporting secure search, reading, and sending.
Manages, stores, and provides prompts and prompt templates for interactions with large language models.
Enhances Claude 3.5 Sonnet's responses by incorporating structured reasoning from DeepSeek R1 through the OpenRouter API.
Augments AI models with tools, resources, and prompts using Clojure.
Provides fine-grained control over Model Context Protocol (MCP) clients, servers, and tools.
Enables local web searching functionality within the ChatWise application.
Bridges the LightRAG API with MCP-compatible clients, enabling Retrieval-Augmented Generation (RAG) capabilities in AI tools.
Enables advanced automation and intelligent interaction with LeetCode's problems, contests, solutions, and user data.
Enhance Livebook development with AI code editing, model context protocol servers, and command-line execution of Livebooks.
Demonstrates how to enhance ChatBot applications using Amazon Bedrock with the Model Context Protocol (MCP) to enable seamless integration with external systems and data sources.
Bridges Jenkins with AI language models, enabling secure and contextual interactions.
Integrates the Brave Search API to provide web, image, video, news, and local point-of-interest search capabilities.
Provides Rust bindings for the txtai API, enabling semantic search, LLM orchestration, and language model workflows within Rust applications.
Exposes any FHIR Server or API as a Model Context Protocol (MCP) Server to facilitate standardized access to healthcare data.
Provides a native Delphi server implementation of the Model Context Protocol (MCP) for AI-powered Delphi development workflows.
Provides a Model Context Protocol (MCP) server that enables AI assistants to interact with Fastmail's email, contacts, and calendar data.
Empowers AI agents to efficiently navigate and search codebases semantically, significantly reducing token consumption.
Audits Java source code for vulnerabilities using function-level taint analysis, providing security insights to AI assistants.
Elevates your Obsidian vault into an intelligent knowledge system by providing AI agents with specialized tools for managing and analyzing notes.
Provides access to the Oura API, enabling language models to query sleep, readiness, and resilience data.
Provides a developer-first framework for building portable, scalable, and secure AI agents with configuration-driven architecture and robust operational features.
Manages projects with an AI-native, markdown-first approach, leveraging your Git repository as the primary project manager.
Manages AI agent memories by consolidating duplicates, detecting contradictions, and fading stale information through temporal decay.
Provides an infinite, persistent, and local-only AI memory system for agents, eliminating cloud dependency and enhancing reliability.
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