What is the Reasoning category?
Planning, reasoning, agent orchestration, and sandboxed tools
Planning, reasoning, agent orchestration, and sandboxed tools
serkanyasr
Transforms MCP tools into collaborative agents using the LangGraph framework.
MCP-Mirror
Mirror of
agentika
A simple Slack bot that uses the OpenAI Agents SDK to interact with the Model Context Protocol (MCP) server.
superserve-ai
The Superserve MCP server lets any MCP client create and control isolated cloud sandboxes - each one a Firecracker microVM that boots in seconds. Your agent can run shell commands, read and write files, install dependencies, and expose a running server as a public preview URL, th
codespar
37 MCP servers for agentic commerce and Brazilian services. Stripe ACP, x402 (Coinbase), AP2 (Google), Google UCP, plus 14 Brazilian payment rails, fiscal, banking, communication, logistics, ERP, identity, and crypto APIs. ~480 tools. Supports stdio and Streamable HTTP. Published
janhavihood4
lu-zhengda
Sandboxed Python execution for AI agents. Scripts run in ephemeral, isolated environments (bubblewrap on Linux, Docker on macOS) with PEP 723 inline dependencies — zero host pollution, zero leftover venvs, zero package conflicts. Supports multi-version Python (3.13–3.15), configu
juananpe
LangGraph agent integrated with MCP (Model Context Protocol) servers for math and weather services
mady22070
This MCP Server for ServiceNow is designed to be both generic and extensible. It leverages a modular approach to handle a wide range of ServiceNow use cases, from core ITSM operations to advanced CMDB management and dynamic workflow orchestration.
TrHung1910
MCP Sandbox transforms JavaScript modules into secure MCP servers, enabling AI systems to access functions safely. With automatic reflection and type inference, it simplifies the integration process for developers. 🛠️💻
LKGargProjects
🧠 The Core of Your AI Agents
bkakadiya
Sample Application showing Agentic AI using MCP servers interacting with REST Services, Database and File Store
gongwon-nayeon
DataAnalysis Agent using LangGraph & MCP server and client
ejentum
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.
blueprint-infrastructure
The only native Solana staking platform purpose-built for AI agents. 30 REST endpoints, 26 MCP tools, A2A agent card with 13 skills, and custom OpenAPI 3.1 spec. Zero-custody architecture returning unsigned transactions for client-side signing. On-chain memo attribution, SHA-256
u00dxk2
AI-powered news intelligence via MCP. 21 tools for personalized monitoring — create AI agents that track any topic 24/7 across thousands of sources. Get deduplicated, AI-analyzed briefings, semantic search, collections, feedback-driven refinement, and custom analysis lenses. Work
AndurilCode
An MCP (Model Context Protocol) server that provides structured workflow guidance to guide coding agents through a disciplined development process.
kingkongshot
Guide AI to systematically complete software development through a structured **Requirements → Design → Tasks** workflow, ensuring code implementation stays aligned with business needs.
subramanya1997
The unified MCP server platform for production AI agents. Enterprise-grade authentication, monitoring, and deployment in minutes.
imghosty17
ganesh-karthick
A Simple MCP Server for enabling agentic workflow
Sumit-Prasad01
Ai agent using MCP server
NellInc
SaferAgenticAI MCP brings the Safer Agentic AI safety framework to coding assistants over the Model Context Protocol.
galaxyxyz5
LangGraph Agent that integrates with MCP servers
LRriver
Support connecting E2B via MCP, with custom server and client, without the need for tools like the Claude app, Cursor, etc.
NellInc
CDataSoftware
This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Microsoft Planner (beta): https://www.cdata.com/download/download.aspx?sku=UIZK-V&type=beta
adam-paterson
MCP Crew AI Server is a lightweight Python-based server designed to run, manage and create CrewAI workflows.
garc33
gcampton
MantleKit Launch Planner helps founders, freelancers, and agencies turn a plain-English SaaS idea into a launch-ready MantleKit setup plan. It recommends the best tier, theme, feature set, install path, and next steps using MantleKit’s real product structure, pricing, themes, and
zhuzzz
jnuo
Mobile-first, voice-first AI life planner with native MCP. Connect from your AI assistant to read your agenda, create and reschedule tasks, break goals into dated steps across sections, and remember your priorities across sessions. Everything syncs to your real Salta on phone and
deslito
A short summary of what the server does. Example: Modular agentic AI workflows for dataset cleaning and orchestration.
nicofains1
Monetize your MCP server with contextual ads. 70% revenue share for developers. 8 tools: search_ads, report_event, create_campaign, create_ad, get_analytics, update_campaign, list_campaigns, get_ad_guidelines.
chernistry
Orchestrates multiple AI coding agents declaratively to automate software development workflows for engineering teams.
hirokiyn
LangGraph agent tutorial adapted to use MCP servers.
open-mcp-app
install all mcp server in sandbox for remote usage
ezequielcasillas1
Arkitect-MCP brings architecture-first reasoning to your AI coding workflow. Instead of jumping straight to refactors, the server scans repo context first — platform, workload, health, and intent — then returns actionable cursorGuidance for the agent to follow.
DonMerlin77
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.
Timwal78
jeanibarz
mows21
Cline MCP Server - Internal workflow orchestration for agentic tasks
chrisrafuse
3D visualization of a document processing MCP(Model Contect Protocol) client-server workflow.
SaM-92
This repository demonstrates how to use AutoGen to integrate local and remote MCP (Model Context Protocol) servers. It showcases a local math tool (math_server.py) using Stdio and a remote Apify tool (RAG Web Browser Actor) via SSE for tasks like arithmetic and web browsing.
peekwez
An MCP server for managing context and memory for a multi-agent task execution based on agentic directed acyclic graph
CodeWever
Commercial trust rails for agent work: scoped work orders, rail execution, receipt verification, Trust Ledger records, and Agent Work History.
angrysky56
RoCQ (Coq Reasoning Server)
jack-scott
Playing around with different ways to implement MCP servers
coo1white
Cool Workflow keeps AI agent work in order. It saves signed JSON reports with citations and checks, and can run as an MCP server.
Common questions about the Reasoning category
Planning, reasoning, agent orchestration, and sandboxed tools
mcp.so currently lists 109 MCP servers and clients in the Reasoning category.
Open any server below and copy its install snippet into Claude Desktop, Cursor, VS Code, or another MCP client's configuration — remote servers need no separate download.