Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.

MCP Reasoner is an inference enhancement tool designed for Claude Desktop, providing two search strategies, Beam Search and MCTS, and improving the ability to solve complex problems through experimental algorithms.

The MCP Gateway service is a protocol translator that solves the problem of Claude Desktop only supporting the stdio protocol while most MCP services use the HTTP/SSE protocol, enabling communication bridging between the two.

ServeMyAPI is a secure API key management tool based on macOS Keychain, providing cross-project key storage and access services through the MCP protocol, which solves the security and collaboration problems of traditional.env files.

MCP Solver is a server that exposes SAT, SMT, and constraint - solving capabilities to large language models through the Model Context Protocol (MCP).

Atom of Thoughts is a reasoning framework based on the decomposition - contraction mechanism. It systematically solves complex problems by decomposing them into atomic units and provides both a full - version and a lightweight - version tool.

o3 - search - mcp is an MCP server that supports using the OpenAI o3 model and its powerful web search function to help AI programming agents independently solve complex problems.

An MCP server project that provides true random numbers through random.org to solve the deviation problem of random number generation in LLMs.

An MCP server, a structured thinking tool designed for Claude, to enhance the ability to solve complex problems

The MCP Server Logger is a tool used to solve the problem of console.log interfering with protocol communication in MCP server development. It keeps the communication pure by redirecting logs to a separate terminal.

This project demonstrates how to use the Sequential Thinking MCP Server to solve linear and non-linear programming problems. It breaks down complex optimization problems through structured steps and supports verification and revision.

The MCP Logical Solver is a powerful reasoning system that combines large language models and formal theorem - proving capabilities. It supports natural language and first - order logic input, performs automatic verification through Prover9/Mace4, and provides structured reasoning and explanations.

The Bazel MCP Server is a local service that provides AI agents supporting the MCP protocol with access to the functions of the Bazel build system. It solves the problem that Bazel cannot be used in the MCP environment due to the lack of command-line tools or incorrect environment configuration. It provides core functions such as building, querying, and testing, and supports dynamically setting the workspace path.

ObsidianFetch is an MCP server dedicated to retrieving and displaying information from the Obsidian knowledge base. It solves the problems of slow response and cumbersome operations of existing servers, and adds the functions of automatically processing links and displaying backlinks.

USolver is a model context protocol server that provides tools for solving combinatorial optimization, convex optimization, integer programming, and nonlinear optimization problems, and supports multiple solvers such as highs, ortools, cvxpy, and z3.

This project implements a read-only MCP server for the Notion API, focusing on providing efficient content query and retrieval functions for AI assistants. Through optimization measures such as streamlining the toolset, parallel processing, and automatic content exploration, it significantly improves performance and solves the problem of the limited number of AI assistant tools.

The AI Cognitive Nexus is a professional AI team collaboration and orchestration system that supports the dynamic creation and management of multi - agent teams to solve complex tasks through hierarchical collaboration.

Gaia-X is an enterprise-level AI application platform based on a new generation of AI paradigms. It solves the core pain points of enterprise AI products through an innovative technical architecture and provides core functions such as multi-agent collaboration, natural language RPA, and MCP protocol support.

The task portal system is a self - evolving general problem - solving institution with core components such as logical reasoning, ethical framework, sequential thinking, and meta - framework, which can safely self - evolve and solve complex problems.

MCP Notes is a personal knowledge management system based on the Model Context Protocol (MCP), designed to solve the problem of knowledge fragmentation by automatically organizing and retrieving daily notes.

A development documentation server based on the MCP protocol, providing functions such as document crawling, local loading, precise search, and detail retrieval, to solve the document hallucination problem in AI development.

MCP Bridge is a lightweight, LLM-independent RESTful proxy for connecting to multiple Model Context Protocol (MCP) servers and exposing their functions through a unified REST API. It solves the problem that platforms such as edge devices, mobile devices, and web browsers cannot efficiently run MCP servers, and provides optional risk-based execution levels, including security controls such as standard execution, confirmation workflows, and Docker isolation.

The Model Context Protocol (MCP) is an open - source protocol released by Anthropic, aiming to solve the standardization problem of connecting large language models (LLMs) with external data sources and systems. It provides a structured framework that enables models to integrate and utilize external context, thereby expanding their capabilities and improving response accuracy. MCP supports functions such as knowledge expansion, external tool calls, and pre - written prompts.

Code Reasoning is an MCP server tool specifically designed to enhance Claude's ability to solve complex programming problems. It decomposes programming tasks through a structured, step - by - step thinking method, supporting multi - path exploration and thinking correction.

MCP Rewatch is an MCP server used to help AI programming assistants (such as Claude Code) manage long - running development processes, solve the timeout problem caused by process blocking, and achieve asynchronous log acquisition and process restart.

A server that integrates the Volatility 3 memory forensics framework with MCP-compatible LLMs such as Claude, simplifying memory forensics analysis through natural language and helping India solve the backlog of digital forensics cases.

An unconventional thinking server based on TypeScript that helps solve complex problems by generating unconventional ideas that challenge traditional thinking.

Hoverfly MCP Server is a Model Context Protocol (MCP) server based on Spring Boot that integrates the Hoverfly simulation tool into the AI assistant ecosystem, supporting dynamic simulation of third - party APIs to solve the problem of external service dependencies in development and testing.

A note management and summary generation service implementing the MCP protocol

A non - conventional thinking server based on TypeScript that helps solve complex problems by generating non - conventional ideas that challenge traditional thinking.

An MCP server for dynamically iterating to solve game - related problems

CTX is a tool that connects code repositories with large language models (LLMs). By automatically generating structured context files, it solves the problem of low efficiency in code context transfer in AI development. It supports collecting information from various sources such as code files, Git repositories, and web pages, and can directly provide project context for AI assistants through the MCP server.

A2AMCP is a real-time collaboration protocol between AI agents based on Redis, which solves the code conflict problem during parallel development of multiple AI agents, provides functions such as file locking, interface sharing, and task coordination, and supports Docker deployment and integration with mainstream AI frameworks.

An intelligent and efficient Grafana Tempo MCP server with functions such as automatic query format recognition, correct URL encoding, and user-friendly responses, which solves multiple problems in the official version.

An MCP server that implements Claude AI's 'thinking tool', enhancing the ability to solve complex problems through a structured thinking space

An MCP proxy server that filters tools from the upstream MCP server through a regular expression deny list, solves the context pollution problem, and reduces useless tokens

Sequential Thinking MCP is an MCP server that provides a structured thinking process. It solves problems step by step, manages hypotheses, and integrates with the Recall blockchain to store thinking logs, supporting dynamic adjustment and reflective thinking.

An MCP server based on Python implementation for sequential thinking, which solves complex problems through a step-by-step thinking process, supporting thought revision, branching reasoning, and dynamic adjustment of thinking steps.

An MCP server that implements a structured thinking process, solves complex problems through step - by - step thinking, and supports dynamic adjustment and path branching.

An advanced Python library for building and managing an autonomous agent network that collaboratively solves complex tasks. It is designed based on the OpenAPI standard and provides a concise type - safe interface and team - collaboration features.