开发者工具1 week ago
MCPulse — Analytics for MCP servers
See whether your MCP tools actually work for the models calling them — retries, empty answers, schema cost and first-call success. Two lines to install.
@getmcpulse · X
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See whether your MCP tools actually work for the models calling them — retries, empty answers, schema cost and first-call success. Two lines to install.
@getmcpulse · X
阅读免费的Earnings Call文本或通过API和MCP服务器集成。
@RobGuerra90 · X
Building : access earnings call transcripts via a cheap API or MCP server. Pull any company's call right into your workflow.
Free LinkedIn post scheduler with an MCP server and REST API. Let Claude Code, Cursor or Gemini CLI write and schedule your posts. No credit card.
@devzakir · X
Schedule & Chill is a free LinkedIn scheduler your AI tools can post through. Built it because I live in Claude Code and wanted to type "post this" instead of opening a tab. MCP server built in. Live: LinkedIn, YouTube, Bluesky, Mastodon.
MCP协议任务队列，让AI编码代理请求和完成工作。
JulianQuinn · HN
Show HN: TaskPeace – a task queue my AI coding agents pull work from over MCP
Tiny, precise browser tools for contact centre agents — SLA timer, discount calculator, NATO phonetic, ticket age checker, and an AI tone softener. Free, no login, no installs.
@tooleaseapp · X
Tools for contact centre staff in one place
将 OpenAPI 规范和数据库转换为 MCP 工具，无需编码。
mhmt_dmr · HN
MCP Gateway – Turn existing APIs and databases into MCP servers
通过检测重复工具调用来压缩提示词并降低LLM令牌成本。
@DeveloperL92487 · X
I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache
存储提示词和背景信息，通过 MCP 让 Claude Code、Cursor 等 AI 工具共享访问。
@vibexp_io · X
Your plan is now code. Claude Code Dynamic Workflows fan out up to 1,000 subagents, 16 at once, each in its own context, verifying until the results converge. Built for big bug hunts, migrations and audits. Source:
ToolsLoop：自由职业者免费工具套件，包括发票、增值税、报价、费用追踪和商名生成。
@tools_loop · X
为AI应用提供MCP服务器、REST API和行级安全的后端服务平台。
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation
为AI代理提供托管身份认证和权限服务，支持DPDP合规。
@namoidhq · X