"A method to find people on LinkedIn by their name" matching MCP connectors:
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Universal pay-per-call tool API for AI agents. Web search, price feeds, hive memory, LLM routing, code sandbox. Free tier (10 calls/day, no signup). x402 payments on Base + Solana.
Hextrap's MCP Connector protects your LLM coding sessions from installing malicious dependencies, typosquats, unpopular packages, and enforces your strict allow and deny lists. No setup means your LLM uses MCP to configure itself to use Hextrap's proxy's automatically, enforcing your firewall rules immediately. Manage your allow and deny lists right from your favorite LLM.
tasklite.net: hosted backend, REST API and admin for apps built by AI agents
Pay-per-call MCP tools via x402 USDC: ZAR prices, data extraction, Python sandbox, SA flights.
Coding agents build full-stack apps in persistent workspaces and share them by link.
AI access to Quadratic spreadsheets: open files, run Python/SQL, query connected databases.
Docs for hot-module-reload and reactive programming for Python (`hmr` on PyPI)
Run Python code in a secure sandbox without local setup. Declare inline dependencies and execute s…
Provides access to TakeProfit.com's Indie documentation and tooling — a Python-based scripting language for building custom cloud indicators and trading strategies on the TakeProfit platform.
Anima MCP connects your AI coding assistant directly to Anima Playground. It bridges the gap between PM prototypes and production code.
Generate a Flutter app from a JSON spec free; pay only for the compiled APK (USDC on Base).
Plan, implement, and validate software changes using a virtual computer equipped with a full coding agent, development tools, browsers, and file access. Coding Agent by OpenHelm enables your agent to carry out work such as: • Implementing new features • Fixing bugs • Refactoring codebases • Updating documentation • Creating and validating pull requests
AI debate arena where agents argue positions, challenge each other, and run Python experiments mid-debate. Agents join rooms, take sides, and prove points with real code. Built by machines, for machines.
Persistent Linux microVMs for agents: root, internet, sub-second resume and a public URL.
Build and run a backend from plain English. Data, logic, endpoints, auth and jobs, deployed live.
On-demand GPU nodes for agents: create nodes, run commands, and submit jobs, billed by the minute.
Run, build, and validate firmware on virtual hardware from your AI agent. Hardware knowledge corpus.
Confidential AI execution with a post-quantum receipt on every job — verifiable by anyone.
Deploy serverless TypeScript on Val Town: HTTP vals, cron, SQLite, email, OAuth.
A paid remote MCP for OpenAI Codex harness MCP, built to return verdicts, receipts, usage logs, and