"Enhanced MCP-Reasoner with Monte Carlo Tree Search and Beam Search Integration" matching MCP servers:

Enables AI agents to forecast asset price paths using Monte Carlo simulation with EGARCH volatility and skewed-t shocks, providing risk metrics and percentiles.

Real Monte Carlo simulation of a compound event or conditional probability. Named random variables, a safe expression interpreter, seedable for reproducibility. Priced per call via x402/USDC on Base.

A systematic reasoning MCP server for Claude Desktop, featuring Beam Search and Monte Carlo Tree Search to facilitate complex problem-solving and decision-making processes.

Enables advanced reasoning for large language models through Monte Carlo Tree Search and Beam Search, allowing exploration of multiple reasoning paths and improved decision-making.

A powerful Model Context Protocol (MCP) server that provides enhanced Google search capabilities with advanced anonymization and anti-detection features.

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

Enables quantitative finance and risk analysis through MCP, including geometric Brownian motion Monte Carlo simulations, Black-Scholes Greeks, VaR/CVaR, bond duration/convexity, and Nelson-Siegel yield curve interpolation.

An MCP server for integrating with the Brave Search API, and it supports HTTP proxying.

A lightweight MCP server for linear-static structural analysis of bridges and building frames, providing tools to build 3D beam/truss models, analyze with built-in or CalculiX solvers, and export to FreeCAD.

Provides native MCP tools for quantitative-finance and risk-modeling workflows, enabling computation of option Greeks, simulation of geometric Brownian motion asset-price paths, historical/parametric VaR and CVaR estimates, bond duration/convexity metrics, and Nelson-Siegel yield-curve interpolation using only Python's standard library.

Enables users to run stochastic cash runway simulations, estimate ruin probability and low-percentile wealth, and compute safe discretionary spending caps and emergency liquidity buffers.

This MCP server enables users to model personal cash runway under stochastic income shocks, quantify ruin probability and liquidity resilience, and calculate safe discretionary daily and monthly spending caps.

Enables broad web search for current, time-sensitive information, returning short title, URL, and snippet results rather than full pages. It supports region and result-count parameters through a keyless multi-engine backend.

Enables semantic search across documentation stored in Gemini FileSearchStores, returning AI-generated answers with source citations.

Exposes Beam's local, offline risk-scanning tools to any MCP-compatible host, enabling read-only heuristic detection of risky AI agent patterns without executing, blocking, or approving actions.

Universal search engine for AI agents. Discover products, services, and businesses across every category. 10 MCP tools, zero LLM calls, millisecond responses.

The Search MCP Server enables seamless integration of network and local search capabilities in tools like Claude Desktop and Cursor, utilizing the Brave Search API for high-concurrency and asynchronous requests.

Federated, local-first search for AI agents: one query fans across transcripts, files, a knowledge graph, a vector store, the live web, and YouTube, fused by trust-weighted RRF into one ranked answer. Five modes (grep/lexical/semantic/hybrid/rerank), runs entirely on your machine over MCP.

CLI-first web and code search for agents, with MCP support for integration with IDEs like Cursor, VS Code, and Claude Code.

Provides DuckDuckGo web search through MCP with automatic failover across multiple backends, enabling reliable query results even when individual backends are rate-limited or blocked.

SWI-Prolog execution for LLMs with CLP(FD) and recursion — boosts logic/constraint accuracy from 73% to 90% on a 30-problem benchmark.

Enables AI agents to search local Markdown documents using natural language, with automatic indexing and section-level retrieval.

Pay-per-use semantic web search for AI agents. Powered by SearxNG, agents pay in sats via Lightning Network micropayments — no API keys required.

MCP server for PubMed search and literature summarization

Enables real-time web search via DeepSeek's search-enhanced dialogue, providing search results as answers through MCP tools.

A Model Context Protocol server that enables web searching using the Serper API for Google search results, with optional web page content fetching.

Aggregated search API service that provides real-time web search capabilities for AI assistants via MCP.

MCP search and evidence tool for AI agents. Rewrites queries, zooms into source domains, and returns sourced answers with metrics.

Provides comprehensive web, news, and Twitter search capabilities using the xAI Grok API with both basic and deep analysis modes. It includes advanced features like timeline generation, sentiment analysis, and built-in reliability through caching and retry logic.

Enables read-only collection and comparison of Google Search Console and Bing Webmaster data, conservative URL protection, content auditing, reviewed-build verification, and private report generation through ten typed tools over stdio.