"Chain MCP Experimental Results" matching MCP servers:

An MCP server that gives AI agents fast access to verified EVM chain information, including RPC URLs, chain IDs, explorers, and native tokens.

A bridge server that connects Agent Communication Protocol (ACP) agents with Model Context Protocol (MCP) clients, enabling seamless integration between ACP-based AI agents and MCP-compatible tools like Claude Desktop.

Experimental Model Context Protocol server that enables access to JFrog Platform API capabilities including repository management, build tracking, artifact searching, and package security analysis.

Experimental MCP server for coordinating CLI agents across projects using file-based task boards and assignment tracking.

A Model Context Protocol server that enables Claude Desktop to interact with Google's Gemini 2.5 Pro Experimental AI model, with features like Google Search integration and token usage reporting.

An experimental MCP gateway for controlling durable DeepSeek Harness agent sessions from MCP clients, enabling session creation, observation, steering, and resumption across chat sessions.

Provides a deployable remote MCP server that serves interactive HTML widgets alongside tool results, enabling agent plugins for Cursor, Codex, and Claude Code.

Bridges Agent Communication Protocol (ACP) agents with Model Context Protocol (MCP) applications, allowing MCP clients such as Claude Desktop to discover and invoke ACP agents as tools and resources.

Analyzes multi-step AI agent tool chains to compute success probability, identify bottlenecks, and suggest better execution orders, enabling more reliable agents via local pure-math computation.

Enables AI agents to interact with the Sei blockchain ecosystem through natural language, providing DeFi trading, NFT marketplace access, cross-chain bridging, token deployment, and comprehensive on-chain data analytics.

An MCP server that enables interacting with Google's Indexing API, allowing agents to submit URLs to Google for indexing or removal from search results through natural language commands.

Enables AI assistants to monitor and analyze blockchain activity through Tenderly's infrastructure and direct EVM RPC calls. Provides comprehensive alert management, transaction simulation, and multi-chain querying capabilities for blockchain debugging and monitoring.

Enables Claude Code and Claude Desktop to command the jev-ultrafast browser agent in your real Chrome, autonomously pursuing plain-language goals on a given start URL while enforcing a domain-bound safeguard.

Enables a local LLM to ask the user for guidance via a native desktop pop-up dialog, with configurable options and multiple-choice or free-text input.

An MCP server that enables any AI agent to call Claude using your existing Max/Pro subscription via OAuth, avoiding additional API billing.

Wraps the mcp-locks CLI to expose coordination primitives as MCP tools, enabling multiple AI agents to claim, release, and list exclusive OS resources like browser profiles.

MCP-native agent evaluation and observability server. Log traces, evaluate output quality with 12 built-in rules (PII detection, prompt injection, cost thresholds), and track agent costs. Real-time dashboard, OTel-compatible spans. Self-hosted, MIT licensed.

Composes arbitrary MCP tools using JavaScript, enabling discovery, composition, and execution of other MCP servers through a single 'exec' tool.

Enables LLMs to communicate with Agent-to-Agent (A2A) protocol compliant agents, providing tools for sending messages, managing tasks, and retrieving agent information.

Agent Ready is an AI agent readability scanner — point it at any public URL and get back a 0–100 score plus per-check remediation hints for every failing check. This package wraps the same engine that powers agent-ready.dev as an MCP server, so Claude Desktop, Claude Code, Cursor, Cline, VS Code, and Windsurf can run scans inline and explain the results.