Not a news feed. A signal verification system. 131,000+ AI & tech articles, ~1,000 added every day, drawn from 1,832 canonical source objects across 141 monitored domains. UUID-native, EU-hosted, GDPR-compliant. Every article carries 7 deterministic relevance scores — AI, business, Mittelstand, regulation, risk, cost, operational — computed without an LLM. Reproducible, auditable, stable across runs. 21,000+ canonical entities. Not name variants: canonical objects with a deterministic UUID, alias resolution and type normalisation. "Anthropic", "Anthropic PBC" and "anthropic's" resolve to one object, not three. 19,000+ clusters built by deterministic heuristics, with burst score, novelty score and co-occurrence networks. Ask what moved today, who reported it first, how fast it spread, and whether the signal looks organic or manufactured. 9 read-only tools. Every answer traceable to objects, sources, relations and timestamps. Built by DoWell UG, Hamburg — part of BrunoSan Intelligence, covering AI News, Adtech, ArXiv, Biotech, Crypto, Cyber, Finance, Geopolitics, Quantum, Regulatory and Robotics, connected by the LENS cross-vertical layer.

MCP readiness

B · 84/100

Readiness is how fully this listing follows its protocol and how it behaved in our probes over 30 days. It is shown for reference and does not move it in search. Search order and leaderboards use the separate quality grade (here C+, 70.0/100), which weighs availability, conformance, p95 speed and descriptor. How the two differ

Valid MCP handshake	10/10	initialize and tools/list both answered.
Live MCP endpoint	24/25	Endpoint answers the MCP initialize handshake (3972 ms); slow response -1.
Protocol revision	8/10	Speaks MCP 2025-11-25, 1 revision(s) behind 2026-07-28.
Signed descriptor	n/a	No MCP standard defines a signed server descriptor.
Uptime (30 days)	13.06/15	27/31 probes succeeded over 30 days (87%).
Tool declaration	10/10	Lists 9 tool(s) with descriptions.
Verified identity	5/10	Publisher declared (repository, package or homepage); claim this listing to verify domain control.
Freshness + modern flags	4/5	seen in a source within 7 days.
Auth declaration	2/5	Declares credential scheme: smithery_api_key.

Applicable criteria total 90 points, scaled to 100.

Responsiveness: Slow (3972 ms; bands ≤2.5 s, ≤5 s, ≤8 s, slower; penalty only).

Measured 2026-11-11.

Nine criteria, the same as the A2A readiness score, read from our daily MCP probe (initialize + tools/list) and 30-day probe history. No MCP standard defines a signed server descriptor, so that criterion is n/a and the other 90 points are scaled to 100. Grades: A>=90, B>=75, C>=60, D>=40, F<40. Display only: search order uses the quality grade.

Compared with peers

Against 53,039 reachable MCP servers in our daily snapshot (2026-11-12 06:46 UTC). Display only; it does not change search order.

Readiness: Higher than 75% of peers; This listing 84 · peer median 81
Latency: Faster than 5% of peers; This listing 1,718 ms · peer median 326 ms

Where it loses the most points, and how to win them back

Verified identity −5 — Claim the listing and prove control of its domain.
Now: Publisher declared (repository, package or homepage); claim this listing to verify domain control.
Auth declaration −3 — State how to authenticate (an auth scheme, or that none is needed).
Now: Declares credential scheme: smithery_api_key.
Protocol revision −2 — Support the current protocol revision.
Now: Speaks MCP 2025-11-25, 1 revision(s) behind 2026-07-28.

How many agent tools actually work · All statistics

Listed in

Directories this entry was found in.

smithery since 2026-06-04 ↗

How to connect

MCP endpoint (streamable-http)

https://server.smithery.ai/brunosan/global-ai-news/mcp

JSON-RPC initialize probe

curl -X POST https://server.smithery.ai/brunosan/global-ai-news/mcp \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}'

Homepage

https://brunosan.de/mcp.html

Listed at (smithery)

https://brunosan.de/mcp.html