
MCProbe
Paste a URL to audit an MCP server and get a conformance score with fix recommendations.
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19 projects

Paste a URL to audit an MCP server and get a conformance score with fix recommendations.

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.

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:

Document processing layer for AI agent integrations.
dvcoolarun · HN
Solve your document workflows with AI agents

Social media APIs for developers and AI agents with MCP and CLI. Post, schedule, and respond automatically on all platforms.
@Sammy_Digits · X

Persistent memory system for AI agents in Claude Code, Cursor, and other MCP-compatible applications.
FabianBeiner · HN
CMEM – Persistent Memory for AI Coding Agents

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

Scores AI-generated ad creative and returns verdicts (run/fix/kill) via MCP and REST API.
ds246 · HN
Spendict – a performance marketer's verdict for AI agents, over MCP

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

Build, verify, preview, share, remix, and deploy full-stack apps with managed databases, storage, Stripe, backups, and 73 MCP tools for AI agents.
@nexusai_apps · X