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Awesome MCP Servers is a GitHub-curated list compiling various MCP (Model Context Protocol) servers that allow large language models to interface with external tools, files, APIs, databases, and more. These servers empower AI agents to perform tasks beyond simple text generation by enabling them to access structured resources and execute contextual operations. The list features both production-ready and experimental implementations contributed by the community.

Awesome MCP Servers

awesome-mcp-servers

A curated list of Model Context Protocol (MCP) servers enhancing AI capabilities with external tools and data.

Seraphnet AI is a decentralized base layer designed for developing ideologically-transparent generative AI applications. It offers a multi-layered infrastructure that prioritizes unbiased outputs and data privacy through fully homomorphic encryption (FHE). The platform features components like the Swarm Manager, an intent-sensitive orchestrator for dynamic agent management; Multi-Agent Pods, modular agents utilizing advanced algorithms for collaborative task resolution; and the Forge SDK, enabling model deployment and training in a containerized environment. Seraphnet integrates both on-chain and off-chain data, ensuring accurate and transparent AI operations.

Seraphnet AI

seraphnet-ai

A decentralized platform for ideologically-transparent generative AI applications with a focus on privacy and unbiased outputs.

TaskingAI is an open-source platform designed to streamline the development and deployment of AI-native applications. It offers a comprehensive suite of tools, including model integration, retrieval systems, assistant frameworks, and plugin support, enabling developers to create flexible and scalable AI solutions. With an intuitive console and robust cloud services, TaskingAI simplifies the complexities of AI application development, making it accessible for both beginners and experienced developers. The platform supports integration with leading large language models (LLMs) and provides APIs compatible with OpenAI, facilitating seamless incorporation into existing workflows.

TaskingAI

taskingai

A developer-friendly cloud platform for building and running LLM agents for AI-native applications.

Phidata is an open-source framework that enables engineers to build, ship, and monitor AI agents equipped with memory, knowledge, tools, and reasoning abilities. It supports the development of domain-specific agents capable of integrating with various large language models (LLMs) and external systems. Phidata offers pre-configured templates for rapid deployment, seamless integration with multiple model providers, and the flexibility to run systems within an organization's own cloud infrastructure. Its comprehensive monitoring and optimization tools assist in evaluating and enhancing agent performance, making it a valuable resource for AI-driven automation and application development.

Phidata

phidata

An open-source platform for building, deploying, and monitoring AI agents with memory, knowledge, tools, and reasoning capabilities.

Adala is an open-source framework designed to facilitate the creation of autonomous data labeling agents. These agents acquire skills through iterative learning, influenced by their operating environment, observations, and reflections. By providing ground truth datasets, users define the environment in which agents learn and apply their skills. Adala emphasizes modularity and extensibility, allowing AI engineers, machine learning researchers, and data scientists to build production-level agent systems that abstract low-level machine learning tasks to Adala and large language models (LLMs).

Adala

adala

An open-source framework for developing autonomous data labeling agents that learn and adapt through iterative processes.

LangSmith is an all-in-one developer platform designed to support the entire lifecycle of LLM-powered applications. It provides tools for debugging, collaboration, testing, and monitoring, enabling developers to gain deep visibility into their applications' behavior. With features like tracing, evaluation, prompt management, and dataset construction, LangSmith facilitates the development of reliable and efficient LLM applications. It integrates seamlessly with various frameworks, including LangChain, and supports both online and offline evaluation methods to ensure continuous improvement and quality assurance.

LangSmith

langsmith

A comprehensive platform offering observability, evaluation, and debugging tools for building and optimizing large language model (LLM) applications.

Coval is a platform designed to automate the simulation and evaluation of autonomous AI agents, facilitating the development of dependable assistants across various modalities, including chat and voice. By simulating thousands of scenarios, Coval enables engineers to identify and address potential issues without manual testing. Its continuous integration and continuous deployment (CI/CD) evaluations detect regressions automatically, streamlining the development process and ensuring consistent performance. Inspired by methodologies from the autonomous vehicle industry, Coval aims to boost test coverage, accelerate development, and validate the reliability of AI agents in real-world applications.

Coval

coval

A simulation and evaluation platform that automates testing for AI agents, enhancing reliability across chat, voice, and other modalities.

Langfuse is an open-source platform designed to assist developers in building and refining applications powered by large language models (LLMs). It provides comprehensive tools for observability, enabling detailed tracing and logging of LLM applications to facilitate debugging and performance optimization. Additionally, Langfuse offers prompt management, evaluation metrics, and a playground for prompt testing, all integrated to streamline the development workflow. With support for various frameworks and models, Langfuse serves as a versatile solution for teams aiming to improve the quality and reliability of their LLM-based applications.

Langfuse

langfuse

An open-source LLM engineering platform offering observability, metrics, evaluations, and prompt management to debug and enhance large language model applications.