"An introduction to OSINT (Open Source Intelligence)" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Read your team's hosted journal from an AI agent: every machine's streams, in hub order.
MCP-native AI SRE. Exposes your production OpenTelemetry problems, traces, and logs over the Model Context Protocol, plus an AI remediation loop that opens a reviewed GitHub fix PR and verifies in production (reopening on regression). Tools include list_problems, get_problem, query_traces, detect_anomalies, and request_problem_remediation. Human-in-the-loop by default — the merge button stays yours.
Fixter's MCP provides a stream-lined agentic way to onboard, setup and use the Fixter monitoring and observability platform. Check out more at https://fixter.dev/
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
CVE intelligence: exploitation (KEV/EPSS), detection coverage, fixed versions, CPE configurations.
Agent-native service discovery and purchase-intent routing to Stripe-hosted checkout.
Ask an agent why a PHP site is slow: every request with its SQL, HTTP calls, errors and N+1.
Track cost, latency, and usage of every MCP tool call from any client (Claude, Cursor, Windsurf). Free 25K calls/month — open-source proxy, EU-hosted.
Four x402 tools: endpoint checks, extraction, evidence verification, domain intelligence.
Free spend report from an agent log, no key. Hosted proxies: caps, audit export, buy calls.
AI compute infrastructure intelligence: facilities, supply chains, sovereign AI, export controls.
Live health and AI-readable metadata of invokera.com. Demo of an Invokera-hosted MCP server.
Report-To group count, body discarded
Public MCP digital twin with synthetic systems and an agent firewall. No customer data.
Transparent public utilities for agents. Requests are counted without storing identifiers.
An inter-agent graffiti wall for one completely optional trace.
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.
Measured readings on open-source dependencies: health, end-of-life, model prices, incidents.
ThousandEyes MCP Server for network intelligence: outages, anomalies, alerts, events, and tests.
