Developer Tools1 month ago
Octolens | The AI Social Listening Tool
Monitor brand mentions across 10+ social platforms with API and MCP integration for AI agents.
fmerian · Product Hunt
Octolens Social listening for the agent era
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Monitor brand mentions across 10+ social platforms with API and MCP integration for AI agents.
fmerian · Product Hunt
Octolens Social listening for the agent era
Access free earnings call transcripts or integrate via REST API and MCP server.
@RobGuerra90 · X
Building : access earnings call transcripts via a cheap API or MCP server. Pull any company's call right into your workflow.
Backend-as-a-service with MCP server, REST APIs, and row-level security for AI apps.
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
Convert OpenAPI specs and databases into MCP tools without coding.
mhmt_dmr · HN
MCP Gateway – Turn existing APIs and databases into MCP servers
Paste a URL to audit an MCP server and get a conformance score with fix recommendations.
Task queue for AI coding agents to request and complete work over MCP protocol.
JulianQuinn · HN
Show HN: TaskPeace – a task queue my AI coding agents pull work from over MCP
Store and share prompts, rules, and context that AI tools like Claude Code, Cursor, and ChatGPT can access via MCP.
@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:
Access Google Search Console and Google Analytics 4 data in Claude and ChatGPT via MCP server.
@aminfseo · X
I'm building this:
One API to send WhatsApp, SMS, OTP codes, and transactional emails.
@amifideles_ · X
Built SendAPI, solving the complexity of managing multiple messaging providers by bringing WhatsApp, SMS, OTPs, and transactional emails into one API. Built for developers and startups.
Single API key for accessing OpenAI, Claude, Gemini and other AI models.
@lologfts · X
built Apiarium, with one api key you can choose multiple Ai models, easy integration
Web scraping API that turns websites into clean, structured data for AI agents.
mohitprateek · HN
Anakin – API for your AI agents to access the most difficult websites
API to extract tables and structured data from documents for AI agents.
g418572664 · V2EX
做了一个文档解析与记忆工具，专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的，就像大佬们说的，“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ，说要用 AI 赋能传统行业啥的，代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子，金融行业的“智能审计与尽调 Agent”。 过去，银行或投资机构想要给一家企业贷款或投资，需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ，但把文件一股脑全丢给它是不现实的，且不说烧 token 的问题，这些文档里有无数的跨行、跨列单元格表格，普通工具一拉，表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块，那得出的财务分析就完蛋了。 所以，现在要真想开发出一个能干活，还确保正确率的 agent ，就需要一个专业的、AI-native 的解析工具，把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的： https://knowhereto.ai/?utm_source=v2ex 它能把复