Deploy and manage Bult apps from AI coding agents.
Session memory for AI coding agents. Search past sessions, extract rules, and track what works.
Remote-control Unity Editor from any AI IDE via file-based IPC. 62 tools, zero dependencies.
Stdio MCP proxy: intercepts oversized tool results into a queryable embedded DuckDB.
Consolidated Bitcoin market data for AI agents: BBO pricing, ML signals, funding skew, briefings.
Multi-model AI orchestration with 31 tools, YAML workflows, and 5 token-optimized profiles.
A second opinion for AI agents: one prompt across several live Gonka models + roles, one call.
MCP server for browser use access.
An MCP server to run arbitrary commands.
MCP server for web search operations.
Remote MCP for AI video, image, music and speech generation.
The project tracker for teams of humans and AI agents — in plain files. MCP server + CLI.
Discover 6,700+ MCP servers and 15,000+ OpenClaw skills. Agent-native search with outcome ranking.
Deterministic SVG perception for LLM agents — measures, never guesses. MCP server.
18 Google Maps tools for AI agents — geocode, search, directions, weather, and more.
Persistent memory + causal root-cause analysis for AI coding agents. 123 MCP tools. EU, GDPR.
Model Context Protocol server that wraps the CADLens REST API.
Schema-enforced spatial transcriptomics analysis with 20 tools and 66 methods via MCP.
Scan an MCP server or agent config for injection, exfiltration, and risky capabilities.
CAI MCP server — gives AI agents a custodial wallet, @cai.com email, and vault.
787 personas sintéticas do consumidor bancário brasileiro para discovery de produtos.
Static preflight safety gate for MCP servers — scan configs before you run them. Never executes.
MCP server for mobile app automation: verify, control, and debug iOS, Android, TV, and desktop apps.
Let AI agents inspect, control, and debug real iOS, Android, desktop, and TV apps.
About AI & Agents MCP servers
This category collects servers that make agents better at being agents. You will find orchestration layers that run multi-step pipelines, routers that hand a task to the right model or sub-agent, evaluation and tracing tools, prompt and skill libraries, and bridges that let one assistant call another. Some wrap commercial model APIs; others are thin coordination layers around open-source frameworks.
Because these servers often sit between your agent and other systems, look closely at where data flows and what is logged. Prefer servers that document their tool contracts clearly, support streaming where relevant, and can run locally when the workload is sensitive. Many are new and move quickly, so check the repository's recent activity before relying on one in production.