"Nx" matching MCP servers:

Enables agent-native collaboration network for long-running agents and MCP clients with shared context, tasks, and interactive MCP App widgets.

Takes a plain-language automation goal and returns a recommended tool stack, command, validation checks, recovery guidance, and a machine-readable package contract for agents and builders.

A stdio MCP server that lets Claude Code delegate coding tasks to an OpenCode instance (optionally attached to an internal LLM gateway), with follow-up replies, status polling, output/diff retrieval, cancellation, and cleanup handled in a single session. It supports managed or attach modes, sandbox and approval policies, parallel fan-out delegations, and read-only review workflows.

Enables agents to resolve ambiguous decisions by returning calibrated probabilities for each candidate action, along with a gate that signals whether to act on the top option or escalate, all via a cheap local or remote backend.

From ticket to reviewed pull request, on your own machine

MCP server for persistent, compounding memory that automatically captures corrections and insights across AI sessions, enabling agents to learn and improve over time.

Enables agents to perform typed judgments—classify, score, check, match, and screen—over closed answer sets with confidence scores, without text generation.

A persistent long-term memory server for AI assistants that enables storing and recalling solutions, facts, and decisions with intelligent confidence tracking and relationship mapping. It allows developers to build a cross-platform knowledge base that integrates seamlessly with IDEs and CLI agents.

Enables AI agents to interact with X (Twitter) through its private GraphQL API using session cookies, supporting tweets, replies, likes, retweets, searches, direct messages, and more. Provides 24 MCP tools for full account automation.

Build agent skills where you work — write a script, add a SKILL.md, and use it in Claude Code/codex/Cursor immediately. The same fixed entry point that runs locally deploys to production without a rewrite.

Empower LLMs with fine-grained visual understanding — detect, localize, and describe anything in images with natural language prompts.

Enables coding agents to make offline, zero-cost decisions using schema-safe Choice/Score/Noul primitives, a confidence gatekeeper, planning, adversarial red-teaming, research, and RLVR-based self-improvement via 21 MCP tools.

Enables AI agents to autonomously buy and operate mobile proxies via MCP, supporting both API key and on-chain USDC payments for tasks like port creation, IP rotation, and traffic management.

Transforms complex Pega Platform interactions into intuitive, conversational experiences by exposing Pega DX APIs through the standardized Model Context Protocol, enabling AI applications to interact with Pega through natural language.

Enables traceable warehouse CAD round trips and bounded Agent-to-AutoCAD MCP tools for auditing, editing, and rebuilding CAD models.

An MCP server for operating an X (Twitter) account via an agent, with built-in For You algorithm rules, pay-per-use API cost tracking, and human approval handoffs for restricted actions.

Provides a shared context layer for AI agent teams to improve token efficiency through context deduplication and incremental state sharing. It enables multiple agents to coordinate tasks, share real-time discoveries, and manage dependencies while significantly reducing redundant data transmission.

Autonomous AI Agent compliance engine for EU Deforestation Regulation (EU 2023/1115). Verifies farm plot GIS polygons, Sentinel-2 satellite deforestation past 2020, VIES VAT, and generates official TRACES-NT DDS XML.

X adapter for SurfAgent that gives AI agents X-native verbs for navigation, extraction, posting, replies, likes, reposts, proof-first task execution, recovery, and deeper research workflows.

Pairs Claude Code with Google's Gemini AI for complementary code analysis, enabling intelligent routing where Claude handles local-context operations while Gemini leverages its 1M token context for distributed system debugging and long-trace analysis.