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466,014 tools. Updated 2026-08-19 10:10

"Employee Attrition Analysis and Prediction MCP" matching MCP tools:

  • Get Lenny Zeltser's CTI cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `cti_load_context`. This server never requests your campaign or threat-intel notes and instructs your AI to keep them local—templates and guidelines flow to your AI for local analysis.
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  • Free; no engine run. For a ranking already produced by hs_rank_topk (pass its ranking_ref), return a PORTABLE BRIEF you can drop straight into your own agent's context - the whole analysis as one compact artifact instead of three separate calls. Returns: provenance (engine version, core hash, the ranking_ref, the analysis identity, and when the analysis was computed), outcome.label, trust (top-decile lift, calibration error, validation scheme, and any columns the leak guard quarantined), driver_group (the drivers the engine found, each with a direction, to be read as ONE combination), and limits. Best for: handing an analysis to another agent, filing an analysis in your own store so you can recognise the same analysis later, or building a domain expert on top of Hunter-Seeker - we supply the governed prediction, you supply the domain. Set format to "markdown" for prose instead of JSON; both carry identical numbers. It reuses the analysis behind the ranking_ref, so it costs nothing and can be called as often as you like - only hs_rank_topk consumes a run. Drivers are ASSOCIATIONS, not causes, and are only meaningful together: never re-order them, never rank one above another, never report one on its own. Common mistakes: passing a ranking_ref older than an hour (the analysis is cached for one hour, then you must re-run hs_rank_topk); treating a null statistic as zero - null means the engine did not report it; and inventing drivers when the brief returns an empty driver group, which is a real result and not a gap. Never restate a number this brief does not contain, and never compute change over time by comparing two briefs - that is you authoring a direction the engine never gave. If change over time matters, re-run.
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  • Fetch AlphaFold structure prediction metadata (PDB/CIF/PAE download URLs, pLDDT scores) by UniProt accession (e.g. "P00533"); equivalent to `prediction` but takes uniprot_id explicitly.
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  • Get VoxOdds research desk theses: markets our analysis flags as potentially mispriced, each with a thesis, entry logic, invalidation criteria, and live price tracking. Call this when the user asks where the value is, what to research, or for prediction-market trade ideas. Research framing only - not financial advice.
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  • Search and filter the Firme Românești company directory by name, CAEN activity, county/locality, revenue/profit/employee ranges, and VAT status. Up to 25 results per page with an opaque cursor. Financial filters use a single year (default 2024). Provide at least one filter.
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Matching MCP Servers

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    Enables querying employment rates by sector (agriculture, industry, services) for a given country and year using World Bank API.
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    MCP server that connects Claude to a MySQL employees database, enabling listing, searching, adding, and analyzing employee records through natural language.
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Matching MCP Connectors

  • Get the full Form ADV profile for a single SEC-registered investment adviser by its Organization CRD number: legal and business names, SEC file number, main office, website, regulatory assets under management (discretionary, non-discretionary and total), employee count, and how the firm is compensated (fee structure). Find CRD numbers with SearchInvestmentAdvisers.
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  • Get Lenny Zeltser's IR cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `ir_load_context`. This server never requests your incident notes and instructs your AI to keep them local—guidelines flow to your AI for local analysis.
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  • Get Lenny Zeltser's malware analysis report template. The report covers Executive Summary, Sample Snapshot, Malware Family Identification, Component Inventory, Runtime Requirements, Sources, Capabilities, Indicators of Compromise, Analysis Details, What We Don't Know, optional Infection Vector, optional Detection Engineering, About this Report, Appendix: Analysis Environment, and optional Appendix: Analysis Scripts. This server never requests your sample, analysis notes, or indicators and instructs your AI to keep them local—guidelines and the report template flow to your AI for local analysis.
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  • Get Lenny Zeltser's Malware cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `malware_load_context`. This server never requests your sample, analysis notes, or indicators and instructs your AI to keep them local—guidelines and the report template flow to your AI for local analysis.
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  • Initializes a Blockscout MCP session: returns server reference data, the `blockscout-analysis` skill pointer, and the URI resolution rule. Call this tool exactly once per session, before any other tool, and reuse its payload for the rest of the session; do not call it again.
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  • Rank cities by LTS count with province, region, law breakdown, active/expired split, and top developer per city. Groups by city+province to avoid merging same-name cities across provinces. Use for housing pressure indices, city-level market analysis, and identifying emerging development hotspots. Cross-reference with PSGC MCP for city classification and population. Capped at 25k rows; check truncated flag and narrow filters if true.
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  • Monthly EMPLOYMENT MOMENTUM for one company — headcount trend, hiring vs attrition and salary level, from a monthly workforce panel rather than an annual filing. Returns the latest month's headcount with its hiring, attrition and net-hiring rates (percent of headcount per month plus annualized twins), 1m/3m/12m headcount growth, average salary per employee (USD per year) with its coverage, and the full monthly series. Call it to see a company expanding or shrinking MONTHS before the next 10-K, or to catch attrition rising while headcount looks flat. Values are modelled estimates, not company-reported figures. The panel is being backfilled: `coverage` reports the months actually present and any lookback the panel cannot support returns null with a reason — never an interpolated number. Ticker is not unique across venues; the response names the entity served and lists alternates you can pin with employer_id.
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  • Cost a HYPOTHETICAL hire: give a monthly wage and get back what that employee would really cost the employer each month — the wage plus employer EPF, SOCSO, EIS and the HRD Corp levy at this workspace's own rate — and what the employee would actually take home after employee EPF, SOCSO, EIS, SKBBK and PCB/MTD. Use it for "if I hire someone at RM4,000, what does it really cost me?" and "what would they take home?". Optional: `residency` (RESIDENT, the default, or NON_RESIDENT — a non-resident is taxed at a flat 30%), `citizenship` (MALAYSIAN or FOREIGNER — this drives the HRD Corp levy and makes SKBBK mandatory; it does NOT change the EPF, SOCSO or EIS rates applied, and it does not change tax residency, so set `residency` too), `ageBand` (UNDER_60 or 60_AND_OVER — reduced EPF and SOCSO Category 2), and `epfEmployeeRate` if the employee elects a reduced EPF rate. The PCB comes from Taokeh's implementation of LHDN's official computerised MTD method — the calculation IRBM confirmed in writing on 13 August 2026 (letter ref 2026-256) — not from a simplified formula. The defaults are RESIDENT, single, no children and NO TP1 reliefs, because reliefs are per-employee paperwork nobody has filled in for a person who does not exist yet; every assumption is spelled out in the reply and MUST be repeated to the user. Present it as an estimate on stated assumptions, never as a quote or as tax advice. READ-ONLY — it creates nothing, hires nobody and files nothing. ADMIN ONLY, like every payroll tool here.
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  • [Sales Intelligence] Enrich a single company with domain, description, industry, employee band, social profiles, and (where available) email patterns. Wraps `nexgendata/company-enrichment-tool`. Accepts either a free-form company name ("Stripe") or a domain ("stripe.com"). Args: domain_or_name: Company name or domain.
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  • Aggregate all quant tools into one JSON stock analysis. The tool reuses the existing MCP tools as its data sources, then derives a direction signal, direction score, bullish factors, bearish factors and plain-English summary. If one underlying tool is gated, unavailable or raises an error, the remaining tools still contribute to the final result (status "partial"); if every underlying tool fails, the whole call fails (status "error", isError=True) instead of a misleadingly "successful" empty analysis. Args: symbol: Stock symbol, e.g. "NVDA". refresh: Request fresh IV Radar data instead of using the backend's fresh IV cache. Defaults to False.
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  • Initiate a full StockLens AI analysis for a specific stock. Starting a new run may consume one Analysis credit (LENS_AI) or one Plus Analysis credit (LENS_AI_PLUS, which may add AI narratives). Returns an analysis_id immediately — completion is asynchronous. Retrieve status or results with a separate fetch_analysis_result call when the user asks for them. A recent matching analysis may be reused; the receipt explicitly reports new_run_started and reused_existing without claiming an asynchronous credit charge has completed. Concurrent identical initiations receive retry guidance. Free supports the standard Analysis only; Pro and Max unlock Plus Analysis.
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  • Use when sizing a technology budget for a specific industry and headcount, or identifying category spend outliers. Returns spend bands, category ranges, and outlier flags scaled to employee count. Example: 500-person healthcare org — total SaaS stack median $1.2M/yr, EHR 34% of spend, clinical productivity tools 18% — organizations above $1.8M are consolidation candidates. Source: Stratalize workforce-scaled composite.
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  • Enrich a company from its name or domain using People Data Labs. Returns size, employee count, industry, founding year, location, LinkedIn, and website. Provide a name and/or website. Example: pdl_company_enrich({ website: "peopledatalabs.com", _apiKey: "your-key" })
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