mcp-servers

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#mcp-servers

Almost half the AI tool vendors I checked forbid benchmarking

Reddit r/AI_Agents ↗ · 2026-10-20

An analysis of 674 AI tool vendors' terms of service found that 315 restrict benchmarking or competitive use, with 107 naming benchmarking explicitly and many copying Oracle's 1982 no-public-benchmark clause nearly verbatim. The author questions why AI vendors, including LangSmith and Coinbase, would forbid publishing performance tests.

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#mcp-servers

APEX-Harm: Evaluating Agent Safety in Shared Professional Workspaces

Hugging Face Daily Papers ↗ · 2026-10-09 Cached

APEX-Harm 是一个评估长时程 AI 代理在共享专业工作环境中遭受注入攻击脆弱性的基准,涵盖金融、咨询和法律任务,结果显示脚本类攻击成功率高达 73-84%,表明任务输出正确并不等于行为安全。

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#mcp-servers

Free DB hosting for LLMs, now built into uivoid

Reddit r/AI_Agents ↗ · 2026-09-24

uivoid now offers free hosted PostgreSQL databases for LLMs, enabling end-to-end system creation and hosting with authentication and MCP server integration.

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#mcp-servers

HireOtto

Product Hunt ↗ · 2026-09-24 Cached

HireOtto is a product that connects performance marketing platforms like Google Ads and LinkedIn Ads to AI clients, allowing users to manage campaigns from a single interface with hosted MCP servers for authentication and API handling.

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#mcp-servers

I ranked MCP servers by quality and popularity

Reddit r/AI_Agents ↗ · 2026-09-23

The author has built an independent MCP Index that ranks MCP servers based on quality and popularity using a letter grading system, aiming to provide a unified library for users and a showcase for builders.

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#mcp-servers

Kaiku

Product Hunt ↗ · 2026-09-23 Cached

Kaiku is a task tracker and wiki designed for teams working with AI agents, featuring built-in MCP servers for seamless integration with tools like Claude Code and Cursor.

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#mcp-servers

@github: Build agentic apps with the GitHub Copilot SDK, without implementing the agent loop yourself. Join this beginner-friend…

X AI KOLs Timeline ↗ · 2026-09-18 Cached

This article announces a beginner-friendly livestream event by Microsoft Reactor, teaching how to use the GitHub Copilot SDK to build agentic applications with features like sessions, tools, and streaming events.

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#mcp-servers

MCPJam

Product Hunt ↗ · 2026-09-17 Cached

MCPJam is a testing and evaluation platform for MCP servers, enabling user testing and CI/CD integration for ChatGPT, Claude, and Copilot via desktop app, CLI, or SDK.

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#mcp-servers

Introducing the Google Cloud Developer Plugin for AI Coding Agents (4 minute read)

TLDR AI ↗ · 2026-09-11 Cached

Google introduces the Google Cloud Developer Plugin for AI coding agents, providing installable bundles of skills and tools to enhance agent capabilities on Google Cloud, built on the open Agent Plugins standard.

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#mcp-servers

Elva

Product Hunt ↗ · 2026-09-07 Cached

Elva is a developer tool that discovers APIs from code and allows control over access for different audiences. It runs MCP servers with authentication and analytics to track agent activity and changes.

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#mcp-servers

Cortex

Product Hunt ↗ · 2026-09-05 Cached

Cortex is an open-source API knowledge layer that converts various API specifications into interactive documentation, typed SDKs in multiple languages, and MCP servers for AI agents.

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#mcp-servers

TrackMCP

Product Hunt ↗ · 2026-09-01 Cached

TrackMCP is a developer tool that provides Google Analytics-like tracking and observability for MCP servers, allowing users to monitor usage and performance with minimal code integration.

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#mcp-servers

@HeyAnjula: This is the Claude Code Resource Bible. 54 tools. Agents. MCP servers. Skills. Automation. Most people still haven’t di…

X AI KOLs Timeline ↗ · 2026-08-20 Cached

A curated guide to 54 tools and resources in the Claude Code ecosystem, covering MCP servers, agent frameworks, and automation for AI-powered coding assistance.

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#mcp-servers

Which MCP servers give AI agents real business capabilities in 2026??

Reddit r/AI_Agents ↗ · 2026-07-27

A practitioner shares their experience with MCP (Model Context Protocol) servers for business work, detailing which ones provide real read/write capabilities (e.g., Postgres MCP, HubSpot MCP, PostFast) and which disappoint (e.g., Slack MCP, Google Ads MCP), while highlighting major security concerns like low OAuth adoption and high vulnerability rates.

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#mcp-servers

Show HN: OSS Cross-Harness self hosted registry and analytics for AI Agents

Hacker News Top ↗ · 2026-07-21 Cached

Observal is an open-source, self-hosted registry and analytics platform for AI components like agents and MCP servers, providing discoverability and usage insights for organizations.

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#mcp-servers

Anyone actually doing security review on MCP servers before devs install them?

Reddit r/AI_Agents ↗ · 2026-07-15

A question about whether anyone is conducting security reviews on MCP servers before developers install them, highlighting a potential vulnerability in the AI tool ecosystem.

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#mcp-servers

I built an open-source AI control plane with 26K+ MCP servers and persistent memory tiers (TormentNexus)

Reddit r/AI_Agents ↗ · 2026-07-15

A developer built an open-source AI control plane called TormentNexus that integrates over 26,000 MCP servers and supports persistent memory tiers.

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#mcp-servers

Thoughts after building with Hermes Agent

Reddit r/AI_Agents ↗ · 2026-07-09

The author reflects on building with Hermes Agent, highlighting its modular architecture with separate identity, memory, and skills, and poses questions about its production use and comparisons to other agent frameworks.

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#mcp-servers

How are you actually vetting MCP servers before you install them?

Reddit r/AI_Agents ↗ · 2026-06-21

A discussion about the lack of vetting for MCP servers before installation, highlighting a study that found 5.5% tool-poisoned and 14.4% with known bugs, plus a systemic RCE in the MCP SDK.

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#mcp-servers

AI agents are about to become software buyers. Is anyone else thinking about this?

Reddit r/artificial ↗ · 2026-06-18

This article discusses the emerging trend of AI agents acting as software buyers, highlighting the lack of standardized protocols for agent-friendly product evaluation, pricing discovery, and autonomous checkout. It proposes three existing solutions—llms.txt, MCP servers, and agent checkout protocols—and questions whether companies are prepared for non-human traffic.

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