generated: '2026-09-20' method: searched source: https://perigon.io/docs/api/mcp status: official server: name: io.perigon/mcp title: Perigon MCP version: 1.0.0 docs: https://perigon.io/docs/api/mcp repo: https://github.com/goperigon/perigon-mcp-server server_card: https://perigon.io/.well-known/mcp/server-card.json playground: https://mcp.perigon.io transports: - streamable-http (https://mcp.perigon.io/v1/mcp) - sse (https://mcp.perigon.io/v1/sse) - streamable-http same-origin (https://perigon.io/mcp) deployment: mode: remote endpoint: https://mcp.perigon.io/v1/mcp auth: api-key verified: probed auth: type: api-key header: 'Authorization: Bearer ' note: 'tools/list POST returned 401 on both https://mcp.perigon.io/v1/mcp ({"error":"Unauthorized"}) and https://perigon.io/mcp (WWW-Authenticate: Bearer realm="Perigon MCP", JSON-RPC -32001). Live inputSchemas need authenticated introspection; tool names/descriptions below are from the provider-served server card.' tool_filtering: ?tools= (alias ?tool=) comma-separated query parameter restricts the session to named tools tools: - name: search_news_articles description: Search individual news articles with advanced filtering - name: search_news_stories description: Search clustered news stories and headlines - name: search_story_history description: Retrieve historical article counts for a story - name: search_vector_news description: Semantic vector search over news articles - name: summarize_news description: AI-powered summarization of a news query - name: search_journalists description: Find journalists by name, publication, or topic - name: search_sources description: Discover news publications and media outlets - name: search_people description: Search public figures and newsworthy individuals - name: search_companies description: Find corporations and businesses by name or domain - name: search_topics description: Browse available Perigon topic taxonomy - name: search_wikipedia description: Search Wikipedia with advanced filtering - name: search_vector_wikipedia description: Semantic vector search over Wikipedia - name: get_avg_sentiment description: Average sentiment scores over a time range - name: get_article_counts description: Article publication volume over time - name: get_top_entities description: Most-mentioned topics, people, companies, and sources - name: get_top_people description: People with the largest coverage spikes - name: get_top_companies description: Companies with the largest coverage spikes - name: get_company_news description: Recent news for a specific company in one call - name: get_person_news description: Recent news about a specific person in one call - name: get_location_news description: Recent news for a city, state, or country in one call - name: list_monitors description: List and search monitors by name, status, or classification - name: get_monitor description: Retrieve a monitor's configuration by UUID - name: get_monitor_events description: Retrieve structured events from EVENT and MENTIONS monitors - name: get_monitor_newsletters description: Retrieve scheduled briefings, typically from TOPIC monitors - name: get_monitor_summaries description: Retrieve rolling AI-generated monitor summary history - name: create_monitor description: Create a DRAFT or ACTIVE monitor with query and output configuration - name: update_monitor description: Partially update monitor configuration and delivery settings - name: set_monitor_status description: Activate, pause, or irreversibly archive a monitor additional_tools_note: The provider README also documents a signal_insights_* tool family (workspace, code execution, files) not listed in the server card.