Convert documents to Markdown using MarkItDown.
Delegate mechanical text tasks to a local OpenAI-compatible LLM to save Claude quota.
Transcribe audio locally with faster-whisper or through the OpenAI Whisper API.
MCP server for the official Whoop API v2: cycles, recovery, sleep, workouts, and profile data.
Prompt injection + PII detection for LLM apps and agent pipelines. Deterministic, sub-25ms.
AI agents replace the CEO of Toys R Us (2006-2017). 17 decisions, 44 quarters. Free entry.
Simulated investment committee: 27 investor lenses read the same filings, debate, and a PM decides.
Zcash shielded operations for AI agents. Memo decoding, attestation, proof verification.
LaTeX editor for AI agents: live PDF preview, PDF comments that drive edits, git history.
Paid dev services for AI agents: code review, bug-fix, tests, docs, audits. USDC on Base x402.
Live CRE analysis: Federal Reserve rates, Census 1/3/5-mile demographics, DCF models, IC memos.
Verifiable agreements for agent-led commerce: mandates, obligations, evidence, transaction records.
Makes any AI agent globally reachable and discoverable—no cloud, domain, or port forwarding needed.
Save AI-agent handoff checkpoints, WorkStash notes, and WorkThreads in a local A2CR workspace.
Citation-guarded retrieval over 22M Taiwan court judgments and administrative interpretations.
Control the Unreal Engine 5 editor from any MCP client: Blueprints, materials, Niagara.
MCP Server for Binge-watch / MoonTV / LunaTV. 一个用于追剧/追番的MCP服务器，为AI提供搜索影视播放地址的能力，并支持在小米等安卓电视/投影仪上直接播放.
Encrypted secrets vault for AI agents — secrets resolved at runtime, never seen by LLMs.
Give AI agents access to Gmail, Calendar, Drive, and more — multi-account, manifest-driven.
ServiceNow MCP server: 450+ tools for Claude, ChatGPT, Copilot & any AI. Read-only by default.
400+ ServiceNow tools across all modules — ITSM, CMDB, HRSD, CSM, SecOps, and more.
Test iOS, Android, and web apps with agent exploration, replayable flows, and CI gates.
Persistent memory infrastructure for AI agents. Identity, knowledge graph, and search.
Invoke deployed LLMGraph no-code LLM workflows (chat, RAG, automations) as MCP tools.
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.