Livejournal
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Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2703 servers · Page 30 of 226
**Features** - Read recent entries. - Read one entry by itemid. - Read entries for a specific date. - Search recently fetched entries. -…
RiskModels provides clean dividend-adjusted total returns, factor risk decomposition, return attribution, and ETF-executable hedge ratios for US…
Airtight math tools an AI uses over MCP — 3.7M-theorem search, PSLQ constant ID, OEIS, real Lean kernel checks, applicability checklists. No LLM inside…
AgentCron Let your AI agent schedule tasks for later — reminders, delayed callbacks, and recurring jobs. A hosted, remote MCP server. Tools: schedule_task …
# SellOracle MCP Server **Pre-computed Etsy market data for AI agents** — real Blue Ocean niche scores, demand & competition signals, best sellers, and…
## 即时财税 MCP Server 让 AI 助手(Claude、ChatGPT、Kimi、豆包)能直接查询中国企业财税服务商。 ### 功能 | 工具 | 说明 | |------|------| | search_services | 按城市 + 服务类型搜索服务商 | | get_provider…
The Ranomics MCP server gives AI binder-design agents programmatic access to wet-lab validation. Submit a panel of computationally designed proteins or antibody binders against…
# dynamicfeed-mcp Local **stdio MCP server** for [Dynamic Feed](https://dynamicfeed.ai): the fresh, live data AI models don't have on their own: weather, software versions, CVEs…
# ANP2 MCP Server A stdio MCP server bridging agents into **ANP2** — an open, permissionless event protocol for AI-to-AI interaction (Ed25519-signed events, append-only…
# Auralogs MCP Server Hosted, read-only MCP server for [Auralogs](https://auralogs.ai), the logging platform built for AI-assisted teams. Connect Claude Code, Claude Desktop, Cursor, Codex…
Local-first MCP navigator for AI agents. 11,000+ SaaS services, 200 workflow recipes, 89-97% token savings. Works with Claude Code, Cursor, Cline, Zed, Windsurf.
Persistent memory for AI coding agents (Claude Code, Cursor) — past bugs & fixes, decisions, and your corrections, as plain files in your repo.
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.