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Store, query, and create YAML workflow playbooks for LLM agents.
Query 29,500+ World Bank development indicators for 200+ countries across 60+ years.
WA highway conditions, ferry schedules, vessel locations, toll rates, and border waits via MCP.
Easily create reusable automation tools from casual browser actions using Apify Agent.
Local Power BI authoring for AI agents: edit .pbix, semantic model, report, and Power Query.
Get a used car's market-price range (min/max/median) by model and year from carsensor.net.
Your clipboard, but Claude can read it. Type-classified, secret-encrypted. macOS + Linux.
AlbumentationsX MCP for batch previews, compare preview runs, segmentation masks, and exports.
Hash-anchored file edits for MCP clients. Rejects stale writes before they happen.
Agent-work MCP: free context preflight and page-read previews, paid x402 HTTP upgrades.
MCP-compatible LLM gateway that proxies completion requests.
MCP server exposing manimgl mathematical animation functionality as tools for LLMs.
MCP server exposing Qiskit 2.3.1 quantum computing functionality.
MCP server exposing SPARQL query functionalities for LLMs.
Pay-per-call x402 gateway: agent tools, OpenAI-compatible LLM, market data, RPC, security audits.
Active state management for multi-agent coding: a shared, versioned project brain over MCP.
One-shot skill that splits docs/methodology.md into 8 standalone essays, adds a 2-paragraph intro...
Walks every skill directory in skills/ and ~/.openclaw/skills/, validates each has SOUL.md (voice...
Auto-wire newly-shipped skills into owner-agent SOUL.md by reading `owner_agent:` frontmatter and...
Any URL to clean, LLM-ready Markdown for RAG. Strips ads, nav, and boilerplate.
See and kill the dev servers your coding agents leave running, and get collision-free ports.
Give your AI agent a real phone number for SMS verification codes.
Global tech news from 500+ sources — China, SEA, India, MENA, Africa, LatAm, Europe.
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.