"Find people on LinkedIn by name" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Spin up a complete OpenCode development environment on any Linux box — one agent-driven workflow, six tools, zero secrets.
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.
I do everything related to coding and execution tasks
Low on memory? Your bot sends heavy jobs to cloud sandboxes on your own provider keys. Flat fee.
tasklite.net: hosted backend, REST API and admin for apps built by AI agents
A deterministic verification engine for agents. Proves a fix: fails on the old code, passes on new.
One sentence to a finished animation: your AI writes motion graphics as code and checks real frames.
Coding agents build full-stack apps in persistent workspaces and share them by link.
WASM magic version, bytes discarded
Docs for hot-module-reload and reactive programming for Python (`hmr` on PyPI)
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.
- Lizard MCPOAuth unavailableio.github.lizard-build
Run isolated code and manage apps, databases and deployments on Lizard (lizard.build).
Generate a Flutter app from a JSON spec free; pay only for the compiled APK (USDC on Base).
- supercomputerOAuth unavailablesh.supercomputer
GPU compute for agents: run commands on an L4/A100/H100, watch logs, billed per second.
List AugmentEV's agents and run text generation on a hosted open model (Standard). API key required.
Create AgentUI data apps: define tables, read and write records, and run programs on your data.
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.
Run, build, and validate firmware on virtual hardware from your AI agent. Hardware knowledge corpus.
On-demand GPU nodes for agents: create nodes, run commands, and submit jobs, billed by the minute.
