ICML Paper Search MCP
MCP server for searching ICML 2026 papers with hybrid retrieval (dense + BM25), session management to avoid duplicates, and persistent state.
README
ICML Paper Search MCP
English | 简体中文 | Documentation
An open-source MCP service for searching 6,341 ICML 2026 papers. It provides six tools for search, paper lookup, corpus metadata, and search sessions. Within a session, papers already returned are not returned again.
Add the public MCP
Claude Code:
claude mcp add --transport http icml-papers --scope user \
https://icml.agent4sci.com:20441/mcp
Generic Streamable HTTP configuration:
{
"mcpServers": {
"icml-papers": {
"type": "http",
"url": "https://icml.agent4sci.com:20441/mcp"
}
}
}
The public instance is free to use while its shared quota is available.
Tools
| Tool | Purpose |
|---|---|
open_search_session |
Start a session |
search_papers |
Search papers and optionally deduplicate within a session |
search_session_status |
Read session status |
close_search_session |
Close a session |
get_papers |
Fetch papers by OpenReview ID |
list_paper_areas |
List research areas and paper types |
Self-host with Docker
Requirements: Docker Compose and a DashScope key with access to qwen3.7-text-embedding.
mkdir -p deploy/secrets
printf '%s' 'YOUR_DASHSCOPE_KEY' > deploy/secrets/dashscope_api_key
chmod 600 deploy/secrets/dashscope_api_key
docker compose -f deploy/compose.yaml -f deploy/milvus.compose.yaml \
up -d etcd minio standalone
docker compose -f deploy/compose.yaml -f deploy/milvus.compose.yaml \
--profile build run --rm build-index
docker compose -f deploy/compose.yaml -f deploy/milvus.compose.yaml \
up -d icml-mcp
The local MCP endpoint is http://127.0.0.1:20442/mcp. The Compose files include Milvus Standalone, etcd, and MinIO. Index data and runtime state are stored in Docker volumes.
See Local deployment for direct Python setup and configuration.
Retrieval
Milvus runs dense COSINE search and native BM25 search over each query, then combines the two rankings with standard RRF. DashScope supplies the query and document embeddings. SQLite stores session state, request limits, and the embedding cache.
Direction
The long-term work is to make retrieval more robust and add open scholarly data sources whose licensing and metadata quality can be verified.
Development
uv sync
uv run python -m pytest
License
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。