D
diffbot/diffbot-mcp
A Diffbot MCP server with a variety of helpful web knowledge fetching tools for your agent or LLM pipeline
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
客户端配置（取自该仓库的安装命令）
{
"mcpServers": {
"diffbot-diffbot-mcp": {
"command": "uvx",
"args": ["diffbot-mcp"]
}
}
}解析自我们于 2026-11-11 抓取的该仓库 README；我们未执行过。
command/args 来自仓库写明的安装命令；不确定时请以该项目 README 为准。
VS Code（.vscode/mcp.json —— 键名是 servers）
{
"servers": {
"diffbot-diffbot-mcp": {
"command": "uvx",
"args": ["diffbot-mcp"]
}
}
}VS Code 顶层键是 <code>servers</code>，其余与上面那份相同。
Claude Code（命令行）
claude mcp add --transport stdio diffbot-diffbot-mcp -- uvx diffbot-mcp
Claude Code 不收 JSON 文件，用这条命令直接加。
配置项的键名以你的客户端为准：客户端与 CLI
- ★ 数取值
- 3 ★ · diffbot/diffbot-mcp · 取自 GitHub 搜索 API · （2026-11-13 20:00:50 核对）
- 来源明细
- 从该仓库的 GitHub 页面直接读取 · 条目类型：开源项目
- 收录与活跃
- 收录于 2026-11-12 · 最近见到 2026-11-14 · 共见到 3 次 · 被 1 个来源列出
- 评分构成
- 综合分 103 · 3 ★ · 1 个来源 · repo
- 安装
uvx diffbot-mcp
常见问题（答案都来自我们的记录）
怎么安装？
该仓库给出的安装命令是
uvx diffbot-mcp。我们的记录里它是仓库自己提供的；不保证在你的客户端上直接可用。它适合谁 / 用来做什么？
我们把它归在这些标签下: 开源项目。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
仓库
diffbot/diffbot-mcp；我们收录于 2026-11-12；最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。# Diffbot MCP Server
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
Web knowledge fetching tools for your agent.
What is Diffbot?
Diffbot is an applied AI lab building models that structure all of human knowledge. Our commercial product suite make it possible to fetch and structure knowledge at the scale of the entire public web.
This is the MCP counterpart to diffbot-skills without requiring bash access.
## Tools
### Web
#### 🧬 extract
Web fetch tool alternative. Conventional fetch tools return either 500k+ tokens of HTML or a markdown approximation of the page's content. Extract classifies the page it is fetching and extracts content into a meaningful and consistent JSON schema. Responses are optimized for minimal token usage while maintaining data fidelity. Learn more..
#### 🔎 search_web
Web search tool that ranks accuracy, not popularity. Built on Diffbot's independent web index. Ranking model heavily favors primary sources over secondary sources (e.g. press release > news piece on said press release). Returns markdown formatted content chunks for source citation, with num_results and max_tokens controls. Learn more.
Also includes a page cache reader. Query url: and it returns Diffbot's already-parsed copy of that page from the index in a fraction of the time for live fetch. Use it for full content from reference prose (docs, articles, papers) and reach for extract when the page's current state matters.
#### 🕷️ crawl
Find all links on a web page (the seed) and extract them all. A classic web crawl without the need for scraping rules. Crawls run as background jobs and can be polled for status. Crawl automatically classifies and structures pages in a standard ontology for easy querying. Use crawl to archive documentation, take snapshots of web projects, or site mapping. Learn More.
#### 🧠 resolve_entities
Recognize and resolve entities in text. Uses Diffbot NLP to recognize organizations, people, places, addresses, and other proper nouns in text. Entities are resolved to entity IDs in the Diffbot Knowledge Graph, and the response includes a ready-made dql_filter (id:or(...)) to fetch their full records with dql. Use to keep AI hallucinations in check and explore deep research opportunities. Learn more.
### Knowledge Graph
The Diffbot Knowledge Graph contains over 10 billion entities: Organizations, people, news, places, and more, all linked together by their relationship to each other. It is a representation of things, facts, and connections mentioned by the trillions of websites that make up the public web.
#### 📰 search_news
News and articles by mentioned entity, topic, publisher, language, date range, or sentiment. Newest first by default, relevance-ranked inside a date window.
#### 🏢 search_organizations
Companies by industry, headquarters, headcount, revenue, funding, ownership, or leadership, plus similar_to lookalike lists for competitor mapping.
#### 👤 search_people
People by title, employer, employer industry, skills, education, location, or nationality. Covers people with a public online professional presence only.
#### 🗺️ search_places
Cities, counties, states, countries, and points of interest by name, population, prominence, containing place, or proximity.
What is Diffbot?
Diffbot is an applied AI lab building models that structure all of human knowledge. Our commercial product suite make it possible to fetch and structure knowledge at the scale of the entire public web.
This is the MCP counterpart to diffbot-skills without requiring bash access.
## Tools
### Web
#### 🧬 extract
Web fetch tool alternative. Conventional fetch tools return either 500k+ tokens of HTML or a markdown approximation of the page's content. Extract classifies the page it is fetching and extracts content into a meaningful and consistent JSON schema. Responses are optimized for minimal token usage while maintaining data fidelity. Learn more..
#### 🔎 search_web
Web search tool that ranks accuracy, not popularity. Built on Diffbot's independent web index. Ranking model heavily favors primary sources over secondary sources (e.g. press release > news piece on said press release). Returns markdown formatted content chunks for source citation, with num_results and max_tokens controls. Learn more.
Also includes a page cache reader. Query url: and it returns Diffbot's already-parsed copy of that page from the index in a fraction of the time for live fetch. Use it for full content from reference prose (docs, articles, papers) and reach for extract when the page's current state matters.
#### 🕷️ crawl
Find all links on a web page (the seed) and extract them all. A classic web crawl without the need for scraping rules. Crawls run as background jobs and can be polled for status. Crawl automatically classifies and structures pages in a standard ontology for easy querying. Use crawl to archive documentation, take snapshots of web projects, or site mapping. Learn More.
#### 🧠 resolve_entities
Recognize and resolve entities in text. Uses Diffbot NLP to recognize organizations, people, places, addresses, and other proper nouns in text. Entities are resolved to entity IDs in the Diffbot Knowledge Graph, and the response includes a ready-made dql_filter (id:or(...)) to fetch their full records with dql. Use to keep AI hallucinations in check and explore deep research opportunities. Learn more.
### Knowledge Graph
The Diffbot Knowledge Graph contains over 10 billion entities: Organizations, people, news, places, and more, all linked together by their relationship to each other. It is a representation of things, facts, and connections mentioned by the trillions of websites that make up the public web.
#### 📰 search_news
News and articles by mentioned entity, topic, publisher, language, date range, or sentiment. Newest first by default, relevance-ranked inside a date window.
#### 🏢 search_organizations
Companies by industry, headquarters, headcount, revenue, funding, ownership, or leadership, plus similar_to lookalike lists for competitor mapping.
#### 👤 search_people
People by title, employer, employer industry, skills, education, location, or nationality. Covers people with a public online professional presence only.
#### 🗺️ search_places
Cities, counties, states, countries, and points of interest by name, population, prominence, containing place, or proximity.
收录徽章（可选）
想把收录标记放进 README 就复制这行，可选，不影响收录。
[](https://anclum.com/zh/s/diffbot-diffbot-mcp/)
- 来源
- github · https://github.com/diffbot/diffbot-mcp
- 按领域浏览
- 开源项目
- Traction
- 3 ★
- 收录于
- 今天
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所属领域与标签
每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。