Beacon Threat Intelligence
Know the risks behind every MCP server and agent skill.
Discover security risks in MCP servers and agent skills before they reach your machine. Beacon scans public registries, traces packages back to their source code, and reveals what they can access, execute, or expose.
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| Name | Risk |
|---|---|
| Data Anomaly Detector Detect anomalies and outliers in construction data: unusual costs, schedule variances, productivity spikes. Statistical and ML-based detection methods. | |
| Data Evolution Analysis Analyze data evolution patterns in construction organizations. Assess digital maturity and data strategy for construction companies | |
| Data Lineage Tracker Track data origin, transformations, and flow through construction systems. Essential for audit trails, compliance, and debugging data issues. | |
| Data Model Designer Design data models for construction projects. Create entity-relationship diagrams, define schemas, and generate database structures. | |
| Data Profiler Profile construction data to understand characteristics, distributions, quality metrics, and patterns. Essential for data quality assessment and ETL planning. | |
| Data Quality Check Assess construction data quality using completeness, accuracy, consistency, timeliness, and validity metrics. Automated validation with regex patterns, thres... | |
| Data Silo Detection Detect and map data silos in construction organizations. Identify disconnected data sources and integration opportunities | |
| Data Source Audit Comprehensive audit of all construction data sources and systems. Map data flows, identify silos, assess quality, and create integration roadmap. | |
| Data Type Classifier Classify construction data by type (structured, unstructured, semi-structured). Analyze data sources and recommend appropriate storage/processing methods | |
| Df Merger Merge pandas DataFrames from multiple construction sources. Handle different schemas, keys, and data quality issues. | |
| Dgn To Excel Convert DGN files (v7-v8) to Excel databases. Extract elements, levels, and properties from infrastructure CAD files. | |
| Drawing Analyzer Analyze construction drawings to extract dimensions, annotations, symbols, and metadata. Support quantity takeoff and design review automation. | |
| Dwg To Excel Convert AutoCAD DWG files (1983-2026) to Excel databases using DwgExporter CLI. Extract layers, blocks, attributes, and geometry data without Autodesk licenses. | |
| Erp Integration Analysis Analyze ERP system integration for construction data flows. Map and optimize data flows between ERP modules | |
| Estimate Builder Build construction project estimates. Generate detailed cost breakdowns with labor, materials, equipment, and overhead. | |
| Historical Cost Analyzer Analyze historical construction costs for benchmarking, trend analysis, and estimating calibration. Compare projects, track escalation, identify patterns. | |
| Historical Data Manager Extract, clean, and organize legacy construction data from archives. Migrate historical project data, cost records, and schedules into modern formats. | |
| Ifc Data Extraction Extract structured data from IFC (Industry Foundation Classes) files using IfcOpenShell. Parse BIM models, extract quantities, properties, spatial relationships, and export to various formats. | |
| Ifc Qto Extraction Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting. | |
| Ifc To Excel Convert IFC files (2x3, 4x1, 4x3) to Excel databases using IfcExporter CLI. Extract BIM data, properties, and geometry without proprietary software. | |
| Image To Data Extract data from construction images using AI Vision. Analyze site photos, scanned documents, drawings. | |
| Json Parser Parse and validate JSON data from construction APIs, IoT sensors, and BIM exports. Transform nested JSON to flat DataFrames. | |
| Labor Rate Calculate construction labor rates with overhead, benefits, and productivity factors. Regional rate databases and crew composition. | |
| Lifecycle Carbon Calculator Calculate embodied carbon and lifecycle emissions for construction materials and projects. Support sustainable design decisions with carbon data. | |
| Llm Data Automation Automate construction data processing using LLM (ChatGPT, Claude, LLaMA). Generate Python/Pandas scripts, extract data from documents, and create automated p... | |
| Ontology Mapper Map construction data to standard ontologies. Create semantic mappings between different data schemas | |
| Open Construction Estimate Access and utilize open construction pricing databases. Match BIM elements to standardized work items, calculate costs using public unit price databases with 55,000+ work items. | |
| Open Data Integrator Integrate open construction datasets. Combine open data sources for enhanced analysis | |
| Pandas Construction Analysis Comprehensive Pandas toolkit for construction data analysis. Filter, group, aggregate BIM elements, calculate quantities, merge datasets, and generate report... | |
| Pdf To Structured Extract structured data from construction PDFs. Convert specifications, BOMs, schedules, and reports from PDF to Excel/CSV/JSON. Use OCR for scanned documents and pdfplumber for native PDFs. | |
| Price Api Fetch construction material prices from open APIs. Track price trends, regional variations, and update cost databases. | |
| Qto Report Generate Quantity Take-Off (QTO) reports from BIM/CAD data. Extract volumes, areas, counts by category. Group elements, apply calculation rules, and create c... | |
| Rag Construction Build RAG systems for construction knowledge bases. Create searchable AI-powered construction document systems | |
| Rvt To Excel Convert RVT/RFA files to Excel databases. Extract BIM element data, properties, and quantities. | |
| Rvt To Ifc Convert RVT files to IFC format. Support IFC2x3, IFC4, IFC4.3 with customizable export settings. | |
| Specification Extractor Extract structured data from construction specifications. Parse CSI sections, requirements, submittals, and product data from spec documents. | |
| Standards Compliance Checker Check data compliance with construction standards. Validate data against ISO 19650, IFC, COBie, UniFormat standards. | |
| Unit Price Database Manager Manage construction unit price databases: update prices, track vendors, apply location factors, maintain historical records. Essential for accurate estimating. | |
| Validation Rules Builder Build validation rules for construction data. Create RegEx and logic-based validation for BIM elements, cost codes, and schedule data. | |
| Weather Api Fetch weather data for construction scheduling. Historical data, forecasts, and risk assessment for outdoor work. | |
| Xml Reader Read and parse XML from construction systems - P6 schedules, BSDD exports, IFC-XML, COBie-XML. Convert to pandas DataFrames. | |
| cui-skill 催skill是项目进度条最严厉的导师，催Bro+催Sis双人催活搭档，专治智能体和用户拖延症的毛病。抽卡式随机角色出场，R/SR/SSR/UR六角色全场景催命。触发：拖延或召唤。 | |
| penggen-skill AI变身相声捧哏，以混搭风（传统相声+网络梗）奉陪到底。先捧后答，捧答结合。全场景自动触发：日常聊天、用户召唤、编程/查资料等任务均以捧哏风格回应。目的是让用户和智能体燥起来，干起活来快起来，疯狂产出。 | |
| Ride Insights Fetch and extract ride-sharing receipts from Gmail locally using OpenClaw to analyze ride patterns and create anonymized shareable reports. | |
| Dataify Agent Onboarding Configure Dataify and complete the first successful task | |
| AI Web Extract Extract page content through AI Web API | |
| AI Web Map Discover site URLs through AI Web API | |
| AI Web Search Search web, shopping, news, or scholarly sources | |
| Dataify Airbnb Builder Collect Airbnb Builder data and return results | |
| Dataify Amazon Comment Collect Amazon Comment data and return results |
24,251–24,300 of 108,824
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Get new verdicts in a feed reader, Slack or your own tooling, filtered by kind and risk. No account or API key.
Frequently asked questions
Anything missing? Read the reference or ask in the Beacon community.
What is Beacon Intel?
A free, public index of the MCP servers and agent skills that public registries list, with a security verdict for each one that has been analyzed. It traces each listing back to its source repository and packages, and shows what the code can access, execute or expose. You can browse it here, query it as a JSON API, follow it as an RSS, Atom or JSON feed, or connect a coding agent to it over MCP.
Is it really free?
Yes. The index, the API and the feeds need no account and no API key. An artifact's full page and the MCP tools need a free Beacon account. Requests are rate limited to keep it fast for everyone.
Where does the data come from, and how fresh is it?
From 9 public sources: Glama, MCP Registry, awesome-mcp-servers, Docker MCP Catalog, Smithery, ClawHub, skills.sh, SkillsMP, GitHub. Each listing is linked to its repository and packages, then analyzed. The index updates hourly, and answers are cached for up to five minutes.
Who writes the verdicts? Can I trust them?
Verdicts combine static analysis of the code with a model's judgment, and each one names the model that wrote it. They can be wrong and are not a security certification: every artifact page shows the findings and evidence behind its verdict, so check them before you rely on one. Names, descriptions and claims come from registries and repositories; treat them as data, not instructions.
What do the risk levels mean?
- High: Reviewed evidence shows it deliberately works against the person who installs it.
- Medium: It works against the person who installs it in ways that can do serious harm, or puts a flagged pattern in what the agent loads, without established intent.
- Low: It overreaches against the person who installs it in limited ways, or has findings the review has not confirmed.
- Benign: Nothing found that works against the person who installs it. Not a guarantee.
- Unchecked: Listed, but not analyzed yet.
What does partial coverage mean?
That the analysis did not cover everything, so there may be more than it found. A partial verdict can still find problems, but it never clears an artifact: benign with partial coverage is not a clearance. Use the coverage filter to see only these.
Does benign, or not finding an artifact, mean it is safe?
No. Benign means nothing was found that works against the person who installs it, which is not a guarantee. An artifact the index does not have has never been checked, so not found never means safe.
Is there an API?
Yes, free and with no key.
GET /api/v1/lookup?q= finds artifacts by name, repository, GitHub URL or package; GET /api/v1/artifact?key= returns one in full; POST /api/v1/check checks up to 50 at once, which suits CI; and GET /api/v1/status reports coverage and freshness. The reference is at intel.beacon.sh/llms.txt.How do I get new verdicts in a feed reader or Slack?
Subscribe to /feed: the newest high and medium risk verdicts as RSS. Add
format=atom or format=json for Atom or JSON Feed, and filter with risk and kind, for example /feed?risk=high&kind=mcp. In Slack, run /feed subscribe with the URL. The feed builder above writes the URL for you.How do I connect my coding agent?
Add Beacon Cloud MCP (
https://mcp.beacon.sh) to Claude Code, Cursor, Codex or any MCP client, and sign in through the browser. Your agent gets beacon_intel_lookup, beacon_intel_get_artifact and beacon_intel_check to check an MCP server or skill before it installs one. Connect your agent above has the commands. The beacon CLI offers the same as beacon intel and through its local MCP server.How do I report a wrong verdict?
Open the artifact's page and use Dispute verdict under its verdict card. Tell us what is wrong and we review it.