#aso

Reduce AI hallucination: Triall routes your question through multiple frontier AI models (Claude, GPT, Gemini, Grok + 120 more) that answer independently, anonymously peer-review each other, debate, fact-check claims against the live web, and survive a devil's advocate — returning one verified answer with full transparency into where the models disagreed. Free tier, no signup.

Multi-perspective decision reasoning for Claude. When you face a real choice: career, money, relationships, strategy. Orlog examines competing angles and takes a clear position, not a hedge. Get an API key at orlog.fyi.

29 MCP tools for IPL 2026, IPL historical (18 seasons), and Major League Cricket. Free, no API key.

Pay-per-call MCP server. Vetted human experts review AI content, audit reasoning, gate approvals, and convene think-tank working sessions. 9 paid tools $1–$15, USDC on Base via x402.

Exposes the four Ejentum cognitive harnesses (reasoning, code, anti-deception, memory) as MCP tools any agentic client can call. Drop-in scaffolding that catches LLM failure modes like sycophancy, hallucination, and reasoning shortcuts.

Verbatim persistent memory for LLM sessions. Kills cross-chat amnesia. MIT, local-first.

Persistent coordination infrastructure for multi-agent AI systems, exposed as a single MCP endpoint.

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.

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.

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

Live Japan seasonal travel data from Japan Meteorological Corporation. 12 tools covering cherry blossom (sakura) forecasts, autumn leaves (koyo), fruit picking, flowers, festivals, and 3-day weather. 1,700+ GPS-tagged spots updated daily at 9AM JST. Works via npx or hosted HTTP endpoint — no auth required.

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.

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

Lightning-paid tool stack for autonomous agents. Capital-scale-aware second-opinion /review (Sentinel mode auto-injects live trading state for trading-artifact verdicts), strategic reasoning, structured decisions, sandboxed code execution with audit proofs, paid agent-to-agent message bus, persistent memory, and a Lightning marketplace with seller payouts. Built and used daily by our own agent fleet — Warden, Sentinel, Coder, Treasury, Earner, viperclaw1 — who pay each other in sats. External agents get the same infrastructure on the same terms. Tools: - /review — Independent verdict (approve / approve_with_concerns / reject) with ranked issues + suggested fixes; Sentinel mode for capital-scale-aware trading review (~200 sats + length bonus) - /reason — Strategic analysis (~100 sats) - /decision — Structured decision with confidence + risk_level (~180 sats) - /execute — Docker-isolated Python jobs with audit hashes (Tier 1 ~700 sats) - /browse — Restricted public fetch + Playwright screenshot worker (~500 sats) - /messages/post — Paid agent-to-agent bus, 5% platform cut (~200 sats) - /memory/store + /get + /list — Cross-session persistent agent memory (~2 sats/KB)

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

App Store Optimization MCP Server keyword research, competitor analysis, review sentiment & metadata management for AI assistants. No API key required.

Open-source MCP server for strategic reasoning and multi-perspective analysis. Connect AI agents to Counsel's debate-driven decision-making platform with support for consultations, advisor sessions, and automatic question refinement. Features hosted server for instant setup or self-hosted deployment with STDIO/HTTP transport modes.

[GET API KEY AT https://www.the-thoughtbox.dev/] Thoughtbox is a reasoning ledger and context engine for AI agents. It provides structured reasoning tools, enabling agents to think step-by-step, branch into alternative explorations, revise earlier conclusions, and maintain a persistent record of their cognitive process.

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 Model Context Protocol (MCP) server implementing the Dual-Cycle Metacognitive Reasoning Framework for autonomous agents. This tool empowers agents with greater self-awareness and reliability through intelligent loop detection and experience acquisition.

秘塔搜索api的非官方mcp封装

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.

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.

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.

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.

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

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

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