Question 1

What is Perigon MCP?

Accepted Answer

It's an MCP (Model Context Protocol) server that connects Perigon to your AI, giving the agent tools to act on your data — through a single remote link.

Question 2

Which AI clients does it work with?

Accepted Answer

Any MCP-compatible client: Claude (web, desktop and mobile), Cursor, ChatGPT with connectors, OpenClaw and other agents.

Question 3

Do I need to code?

Accepted Answer

No. Paste the remote URL into your client, authenticate once, and you're done — no packages to install, no code to write.

Question 4

Is it secure? Can the AI change my data?

Accepted Answer

Access is authorized by you and can be revoked anytime. Permissions follow what Perigon exposes; you approve them when connecting.

Question 5

How much does it cost?

Accepted Answer

You start free and upgrade when you need more usage. Billing and limits are managed in your mcp.ai account.

Question 6

Can I cancel anytime?

Accepted Answer

Yes. Plans are monthly and can be cancelled at any time, with no lock-in.

Perigon

工具 (9)

API 与智能体文档

常见问题

示例提示词

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Perigon

工具 (9)

perigon_get_articlesTool to retrieve a list of news articles based on filters. Use when keywords, sources, or date ranges are specified.

perigon_get_companiesTool to retrieve information on companies in Perigon’s entity database. Use when you need a full list of companies. Use after confirming a valid API key is present.

perigon_get_journalistsTool to retrieve journalist profiles including title, Twitter handle, bio, and location. Use when you need detailed journalist info to enrich content with author metadata.

perigon_get_sourcesTool to retrieve a list of media sources with filtering options. Use when you need to list sources by domain, country, category, or traffic metrics.

perigon_get_storiesTool to retrieve clusters of related articles covering the same event or topic with aggregate metrics. Use when you need to fetch filtered and sorted story clusters after configuring query parameters.

perigon_get_topicsTool to retrieve all available Perigon news topics. Returns a list of topics that can be used to filter articles or stories. Each topic includes an ID, name, and labels (category/subcategory).

perigon_get_wikipediaTool to search and filter Wikipedia pages. Use when you have a search query ready and want to retrieve relevant Wikipedia articles.

perigon_vector_search_articlesTool to perform a vector search on Perigon’s real-time news database. Use when you need to retrieve semantically similar news articles given a natural language query.

perigon_vector_search_wikipediaTool to perform semantic retrieval of Wikipedia pages using vector search. Use after obtaining a search query to find relevant Wikipedia articles.