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A systematic reasoning MCP server implementation for Claude Desktop with beam search and thought evaluation.

MCP server that enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine

A MCP server provides access to DeepSeek-R1's reasoning capabilities for LLMs

This is an MCP server that provides tools to LLMs for searching and analyzing apps from both Google Play Store and Apple App Store – perfect for ASO.

A production-ready MCP server that exposes LangChain agent capabilities through the Model Context Protocol. Provides multi-step reasoning with ReAct pattern, tool support (web search, weather lookup), and is deployed on Google Cloud Run for scalable, serverless operation.

A minimal agentic app to interact with OLLAMA models leveraging multiple MCP server tools using BeeAI framework.

MindBridge is an AI orchestration MCP server that lets any app talk to any LLM — OpenAI, Anthropic, DeepSeek, Ollama, and more — through a single unified API. Route queries, compare models, get second opinions, and build smarter multi-LLM workflows.

A Node.js Model Context Protocol (MCP) server that exposes Together AI's inference endpoints — chat completions, image generation, vision, and embeddings — as tools callable from Claude Desktop, Cursor, VS Code, and any other MCP-compatible client. I created this MCP due to an issue I was having accessing reasoning models through Together AI. Together AI's largest reasoning models (GLM-5, Qwen3.5-397B, MiniMax M2.5, Kimi K2.5) use a non-standard response format. During chain-of-thought generation, these models write their reasoning trace into choices[0].message.reasoning while leaving choices[0].message.content as an empty string. The final answer only appears in message.content once thinking is complete.

Python MCP server for controlled logic analysis from natural language, with an emphasis on auditable output and teaching-oriented explanations. ## What it does This server accepts short natural-language statements and arguments, then provides structured logic-oriented outputs such as: - controlled formalization into propositional logic; - controlled formalization into a restricted fragment of first-order logic; - ambiguity detection relevant to formalization; - consistency checking; - entailment checking; - simple counterexamples when entailment fails; - natural-language explanations of the formalization process.

Structured business ontology giving AI agents deterministic access to institutional reasoning — 18 MCP tools, Dolt backend, 0% → 100% "why?" recall vs Markdown+RAG.

MCP server to empower your agent with enterprise-grade Gemini integration for codebase analysis, live search, text/PDF/image processing, and more on your favorite MCP clients.

Open-Meteo MCP Server - A comprehensive Model Context Protocol server that provides AI models with complete access to Open-Meteo's free weather API. Get real-time weather forecasts, historical climate data, air quality information, marine conditions, and seasonal projections through a simple MCP interface. Supports all major weather models (ECMWF, GFS, ICON, JMA, Météo-France) with data covering temperature, precipitation, wind, humidity, UV index, and specialized datasets for research and professional applications.

秘塔搜索api的非官方mcp封装

Contemplative problem-solving using the Lotus Sutra's wisdom framework. Multi-perspective reasoning with skillful means, non-dual recognition, and meditation pauses.

MCP server for GSA CALC+ Labor Ceiling Rates: awarded not-to-exceed hourly rates from GSA MAS contracts (230K+ records). Search by labor category, education, experience, SIN, vendor, or business size. Built for IGCEs, price reasonableness, and labor rate benchmarking. 8 tools.

Lightning-paid strategic reasoning and structured decision intelligence for autonomous agents. Pay per insight using Bitcoin Lightning (L402 protocol). No subscriptions, no accounts, no KYC. - /reason → High-quality strategic analysis - /decision → Structured JSON decisions with confidence and risk level Perfect for agents that need reliable, high-signal reasoning with deterministic cost.

Advanced cognitive thinking MCP server with DAG-based thought graph, multiple reasoning strategies, metacognition, and self-evaluation. A significant evolution beyond sequential-thinking MCP, providing structured deep reasoning with graph-based thought management. Features DAG-Based Thought Graph — Thoughts form a directed acyclic graph with branching, merging, and cross-edges (not just a linear chain) 5 Reasoning Strategies — Sequential, Dialectic (thesis→antithesis→synthesis), Parallel, Analogical, Abductive (inference to best explanation) Confidence Scoring — Multi-factor confidence evaluation with support/contradiction analysis, depth penalties, and knowledge integration boosts Self-Critique — Automatic critique generation with severity levels and confidence adjustments Metacognitive Engine — Detects stuck states, stagnation, declining confidence; suggests strategy switches and corrective actions Knowledge Integration — Attach external knowledge to thoughts, detect gaps, validate consistency across sources Thought Pruning — Dead-end detection, redundancy removal, deep unproductive branch elimination, path optimization