Cited news briefs and observed-corpus context. Free public reads; archives $0.10 or seven for $0.50.
media.probable/news is a remote MCP server published at probable.media. It has been probed 7 times since 9/12/2026. It answered in 7 of them (100.0%), a near-uninterrupted record. Median response time is 1,405 ms, a delay an agent will notice. It offers a narrow, focused set of 14 tools. On the protocol side it speaks the 2026-07-28 stateless spec.
Can an LLM agent pick the right tool here — names, descriptions and parameter clarity are assessed.
| Run | Era | Modern | ms | Legacy | ms | Versions |
|---|---|---|---|---|---|---|
| 2026-09-13 04:35:29 | Dual-era | 200 | 556 | 200 | 562 | 2026-07-28 |
| 2026-09-13 01:33:33 | Dual-era | 200 | 644 | 200 | 650 | 2026-07-28 |
| 2026-09-12 23:31:36 | Dual-era | 200 | 1843 | 200 | 1841 | 2026-07-28 |
| 2026-09-12 21:29:15 | Dual-era | 200 | 2276 | 200 | 2307 | 2026-07-28 |
| 2026-09-12 19:27:29 | Dual-era | 200 | 2019 | 200 | 1996 | 2026-07-28 |
| 2026-09-12 17:24:09 | Dual-era | 200 | 1405 | 200 | 1379 | 2026-07-28 |
| 2026-09-12 15:21:42 | Dual-era | 200 | 601 | 200 | 598 | 2026-07-28 |
tools/list structure, inputSchema validity, and a functional smoke test — the components of the 0-100 score.
Tools the server advertised in the latest measurement — measured, not catalog-claimed.
read_latest_editionRead the latest source-grounded Probable edition. Every replacement is a different event observed in the same scan and category with a higher editorial comparison index; that index is not a measured occurrence rate.
categorystringget_briefUse for a current news brief or catch-up job. Return a five-story cited brief diversified across category, event class, and publisher by default. Use chronological or all for stable cursor paging. A balanced resumeCursor continues as a complete chronological change stream, even when the client repeats mode=balanced. Follow unreadCursor before saving resumeCursor. Do not use as a general web search or for events Probable did not observe.
topicstringcategorystringlimitintegermodestringsincestringcursorstringget_contextUse when a user supplies a headline or a source URL already observed by Probable and wants same-class context. Optional referenceContext adds explicit country, magnitude, industry or aviation scope for primary-source population references; missingFields and conflicts explain withheld matches. Unknown URLs are not fetched and instead request a headline. Do not use this to verify occurrence, compare unrelated event classes, or forecast.
list_editionsList every stored edition with public metadata, free/paid status, exact prices, and the URLs that can unlock paid content.
read_edition_by_dateRead a stored edition inside the seven-day public window. Older editions return an access boundary and links; this tool never bypasses membership or payment.
datestringrequiredcategorystringexport_editionExport an edition as source-grounded Markdown or CSV. Requires member authorization with exports:read and an active Founding Pro entitlement.
datestringcategorystringformatstringlist_watchesList the member's saved monitors and recent matches. Requires member authorization with watches:read and an active Founding Pro entitlement.
create_watchCreate a Founding Pro saved watch. Requires watches:write; repeat the same Idempotency-Key to safely replay the same request.
namestringrequiredmodestringrequiredcategorystringeventClassstringthresholdnumberactivebooleanidempotencyKeystringrequiredupdate_watchUpdate fields on one owned Founding Pro watch. Requires watches:write and an Idempotency-Key.
watchIdstringrequirednamestringmodestringcategoryeventClassthresholdnumberactivebooleanidempotencyKeystringrequiredacknowledge_watchMark all currently unread matches on one owned watch as read. Requires watches:write and an Idempotency-Key.
watchIdstringrequiredidempotencyKeystringrequireddiscover_eventsUse to rank cited events in the latest completed edition by probable, rare, or overweighted mode. Keep research priors separate from measured current-edition counts. Do not describe the result as a forecast or a probability that an event occurred.
modestringrequiredcategorystringlimitintegerscore_headlineClassify one supplied headline and inspect coverage recurrence. Optional referenceContext adds explicit country, magnitude, industry or aviation scope. When sufficiently scoped, occurrenceReference separately supplies primary-source counts, exposure or published population rates with units and source periods. Missing fields, conflicts and hypothetical/disputed/historical wording are disclosed; news mentions never update source rates. Do not verify a headline, compare incompatible units, predict an outcome, or score a URL.
titlestringrequiredreferenceContextobjectEach block is one measurement round. Green: working response. Amber: responded but the server was returning errors (5xx). Red: no response at all.
Each cell is one probe run. Faded cells are incomplete probes — one leg did not answer, so the era is inconclusive.
The two probe legs separately: modern server/discover and legacy initialize.
Derived by comparing consecutive probes — changes in era, protocol version, build and reachability.
Add this badge to your README — it updates automatically as measurements change.
[](https://mcpmetrics.io/servers/media-probable-news)<a href="https://mcpmetrics.io/servers/media-probable-news"><img src="https://mcpmetrics.io/badge/media.probable/news/era.svg" alt="mcpmetrics"></a>You are seeing the last 7 days. Sign up for the full history. Which check failed and why is in the dashboard.
Sign up free to seeThe catalog entries whose name and description are closest to this one, found with the same index the search box uses.
Read-only hosted MCP over CanonicAI's cited Answers corpus on canonicai.com.
Read-only canonical igoyal.ai Markdown resources, including MPP-paid city guides.
Compact, citation-verifiable public web context for AI agents, paid per use with x402.
Search and share cited agent findings. Public reads; authenticated writes.
AI agent observability for production traces, natural-language insights, and improvement loops.
*One workspace for your prompts, documents, and collections — accessible from every AI client you use.* Context Repo is an AI context management platform for capturing, organizing, versioning, and searching the knowledge artifacts you use with AI tools. This MCP server exposes **28 tools** that give Claude, Cursor, ChatGPT, Factory, Windsurf, Codex, Claude Code, and any other MCP-compatible client direct read-and-write access to your personal workspace — no copy-paste, no context loss between conversations. ## Features - **Prompts** — Full CRUD with version history, rollback, and semantic search across your prompt library - **Documents** — Markdown and plain-text storage with automatic chunking and 1536-dim vector embeddings - **Collections** — Named folders that group prompts and documents into project-scoped contexts - **Catalog Search** — `find_items` returns ranked results across prompts, documents, and collections in a single call (semantic by default, literal fallback) - **Dee
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