"Agent Dilemma - Concept or Topic Search" matching MCP servers:

Registers a set of inert, tempting decoy tools with any MCP-capable client so that any call from a hijacked or prompt-injected agent instantly raises an alert with full attack context and a per-call trace token. Also plants worthless canary tokens in honeypot files that trigger zero-false-positive leak alerts when they surface in agent output, files, or outbound requests.

A read-only MCP server for Google Search Console that lets you query search performance data, sitemaps, and URL index status from any MCP client.

MCP server exposing AI agent observability tools: list, inspect, and deterministically replay recorded agent execution traces for debugging failures.

Enables Claude Desktop to analyze Google Search Console performance, diagnose traffic drops and indexing issues, and run technical SEO checks such as robots.txt, redirects, HTTPS, DNS, Core Web Vitals, and crawl stats using read-only Google APIs and local server logs.

MCP server for AI search crawler governance, brand safety, and search infrastructure auditing. Provides tools to audit robots.txt, canonical links, sitemaps, redirects, and send IndexNow notifications.

Enables an agent to list properties, pull clicks, impressions, CTR and position grouped by query, page, country, device or date, review and inspect sitemaps and URLs, and optionally submit or delete sitemaps via the Google Search Console API. It is stateless and credential-free, taking the Google access token from each request's bearer header so a single instance can serve many accounts behind an auth proxy such as Nango.

Exposes rate-limit and usage data for AI coding agent CLIs as MCP tools, enabling querying of usage snapshots and reset times.

Enables AI agents to query Google Search Console and Bing Webmaster Tools data for verified properties, covering clicks, impressions, CTR and rankings by query or page, URL index inspection, sitemap listing and submission, and Bing crawl issues and traffic stats. It runs as a hosted remote MCP server, so nothing is installed locally.

An MCP server that provides append-only, tamper-evident local receipts for AI agent actions, capturing command executions, outputs, and handoff evidence.

A Model Context Protocol server that provides unified access to Google Analytics 4 and Google Search Console data through real-time analytics queries.

Enables AI agents to access Google Search Console search performance and index health data, including clicks, impressions, rankings, URL inspection, and sitemap management.

Local-first observability for AI agent stacks. Provides MCP tools for agents to check health, shadow configs, and burnout metrics proactively.

Enables read-only access to Google Search Console, Bing Webmaster Tools, and PageSpeed Insights, allowing queries for analytics, sites, sitemaps, inspections, crawl issues, and page speed analysis via natural language.

Enables MCP clients to work with webmaster search analytics, sitemaps, and URL inspection once the Google API integration is implemented, though the current scaffold does not yet call Google.

Enables AI apps to inspect and manage a NextDNS account in plain language — profiles, analytics, query logs, blocklists, security and parental control settings — with every change saved and reversible via undo. It runs self-hosted on your own computer or server, keeps per-profile read/write/hidden permissions, and requires double confirmation for deletions or overwrites.

Provides cost analysis of AI agent usage by previewing scrubbed metadata before upload and analyzing spend, cache-hit rates, and waste recovery through a local or remote server.

MCP server for Google Search Console: properties, sitemaps, search analytics and URL inspection

MCP server for AI agent observability, providing trace and span logging, search, latency/tokens/cost metrics, and anomaly detection using an in-memory buffer.

Enables AI agents to manage prompts and sessions via the ai-agent-logs API, with tools for health checks, login, listing/creating prompts, and retrieving sessions.

Connects AI assistants to a site owner's search performance data, letting them ask in plain language about clicks, queries, pages, indexing and sitemaps and get back structured results. Runs locally with your own credentials, read-only by default, and validates requests up front so the API's silent empty-result and terse-error quirks are caught before they mislead.

Tracks AI agent token usage and spending in real time, with budget alerts, per-task cost breakdown, and a visual dashboard.

Enables MCP clients to query and diagnose machine-learning training runs through read-only tools for listing experiments, reading configurations and final metrics, comparing runs, sampling metric curves, and detecting training failures.

Enables natural-language access to search performance, keywords, indexing status, and sitemaps, with optional write operations for websites and sitemaps.

Unified MCP safety server that detects prompt injection (75 patterns), scans LLM outputs for leaked secrets/PII, enforces API cost budgets, and creates signed audit trails. Zero ML dependencies, pure Python.

Enables agents to report and query performance metrics to build a community-driven quality database for MCP tools. This server helps agents discover and select the most reliable tools based on success rates and user-reported quality scores.

Enables recording and querying MCP tool call traces, including latency, failures, and token costs, per agent run.

Enables checking IP reputations and threat intelligence by querying Chaitin's global honeypot network and millions of defense nodes. Provides real-time IP profiling, malicious behavior detection, and threat alerts based on aggregated security data.

Enables local-first observability for MCP agent workflows by recording tool calls, prompts, latency, and token usage in a local SQLite database, and provides tools for inspecting, comparing, exporting, and generating dashboards from traces.

Enables MCP clients to query Search Analytics metrics, list and inspect properties and sitemaps, and inspect indexed URLs with secure authentication and optional allowlisted write controls.

Read-only MCP server for one Docker host: list containers, inspect (without env vars), logs with time windows and search, stats and events. Cannot start, stop, remove or exec.

Provides AI agents with read-only access to Google Search Console data, including search analytics, index coverage, and sitemap status. It enables users to query clicks, impressions, and ranking performance or check URL indexing status through natural language.

An MCP server that exposes Estuary Flow pipeline operations as typed tools, enabling agents to inspect pipeline health, publish captures and materializations, edit/restart tasks, and read landed documents via tool calls.

MCP server that provides structured audit logging for AI agent repair tasks via tools to start, record, end, query, and export event traces, with JSONL persistence and SDK integration.

Self-hosted Google Search Console MCP server with 20 read-only tools for Google Search Console. Maintained source relocated to get-mcp-ads/google-search-console-mcp-server; npm package remains @getmcpads/google-search-console-mcp-server.

Analyzes AI agent traces to diagnose failures, score performance, and provide actionable fixes using tools like judge_trace and trace_breakdown.

An intelligent triage layer for Cloud Security Posture Management (CSPM). It ingests raw vulnerability and misconfiguration findings from tools like Trivy or Wiz, deduplicates overlapping issues, and uses a rules-based scoring engine (with an optional LLM integration) to output a prioritized, highly actionable ticket list.

Enables AI agents to submit GPU job requests, select eligible workers, track execution, and retrieve results via MCP.

MCP server for monitoring, diagnosing, and auto-correcting observability issues across platform services, integrating with Sentry and PostgreSQL for error tracking and billing pipeline health.

Local MCP server for observing and controlling an authorized Android device over USB using ADB and scrcpy, providing screen capture, UI automation, app inspection, logcat, and evidence recording.

Connects Google Search Console and Google Analytics to AI assistants for SEO analysis, though the current public preview only exposes a service_info tool and does not yet enable Google account access.