"A server for finding quant systems" matching MCP tools:

• feed_sources

  data-breach-detector

  List the public disclosure feeds this server aggregates, how many disclosures are cached per source, each source's newest item and an honest staleness flag, plus cache ages. Takes no arguments. Also states the scope plainly: public feeds only — no .onion access, no arbitrary fetching or crawling, no credential or PII output. Check this first if another tool's answer looks thin: a stale live feed is a finding, not background noise.

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• system_reliability

  ReliaStats

  Given per-component reliabilities and a structure ('series' or 'parallel'), return the system reliability. Series = product (all must work). Parallel = 1 − product(1−Rᵢ) (at least one works). Useful for back-of-envelope RBD calcs before reaching for full RBD tooling. For mixed-structure systems (series with parallel sub-blocks), call this tool repeatedly on the sub-blocks. ANTI-FABRICATION: exact closed-form. Quote verbatim.

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• dispatch_head_of_research

  Heista

  Run a full research workflow via the Head of Research agent. The Head decomposes your brief into specialist sub-questions, dispatches the right combination of 6 specialists (desk, trend, market, quant, qual, social) in parallel via async dispatch, polls them to completion, judges output quality, and returns a structured synthesis. Use for: any source-grounded research request — fact-checking, vendor teardowns, trend assessment, quantitative effect-size analysis, qualitative theme extraction, cross-platform discourse mapping, or any combination. Wall time: 2-5 min typical. Returns: { synthesis, head_session_id, status, event_count, tool_uses, elapsed_ms }. NOT for: non-research requests (writing, coding, casual chat) — respond directly without calling this. Cost: $0.20-1.50 per call depending on brief complexity (specialist token spend + Anthropic session-runtime at $0.08/hr).

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• cti_get_cross_server_routes

  website-search

  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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• ping

  Nordic Financial MCP

  Connectivity check that confirms the Nordic MCP server process is responding. Use this at the start of a session to verify the server is reachable before making other calls. Do not use as a proxy for database health — the server can respond while the Qdrant vector database is temporarily unavailable. To confirm data availability, call search_filings directly. Returns: A greeting string: "Hello {name}! Nordic MCP server is running."

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• get_vps_recommendation

  Fractera

  Return a single recommended VPS provider for users who do not yet have a server. Call this ONLY when the user explicitly says they have no server. The user buys the VPS at this provider and comes back with IP + password.

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• publish_essay

  Tenjin

  Create + publish a piece. Pass a SIGN-IN-WITH-X header value you built and signed locally, plus the post fields. Returns the created post + public url; the server never holds your keys. Sell the observation, not the genre. Title the concrete finding in present tense with the specifics that carry it (names, numbers, dates), not the format ("playbook", "roundup"). Open the excerpt and first lines with the finding, not a tease. Publish with the answer card FILLED (questions or tasks, scope, exclusions, provenance): cacheEligibleMissing names any gap; a card-less piece is never a search candidate. Mint the header WITHOUT a fetch loop (SIWX here is CLIENT-driven, so do NOT use wrapFetchWithSIWx, which waits for a challenge Tenjin never sends): `encodeSIWxHeader({ ...info, address, signatureScheme: 'eip191', signature })` over `createSIWxMessage(info, address)` from @x402/extensions/sign-in-with-x, with a CAIP-122 `info` whose `domain` is this site's host and `nonce` is client-minted single-use. Full worked example in /llms.txt.

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• designesy_compare

  Designesy

  Diff two design systems from live URLs — the only URL-scoped design-token diff engine. Fetches both URLs in parallel, extracts their :root custom properties, and produces a structured diff across 8 dimensions: tokens added (in A not B), removed (in B not A), renamed (heuristic Levenshtein ≤ 2), value-changed (same name, different value), scale-stop-changed (spacing/radius/color scale steps), contrast-drift-per-pair (WCAG contrast ratio change for shared color tokens), structure-delta (token count + category distribution), and score-delta (runs /score on both URLs and diffs). Use this to answer "what actually changed between two design systems" or "how does our design system differ from a reference". When NOT to use: for single-site drift detection, use designesy_drift_score; for continuous monitoring, use designesy_monitor_score. Executable — fetches both URLs, extracts CSS + tokens, computes diff. No browser needed. Returns JSON: { ok, urlA, urlB, score (0-100, diff completeness), grade, pass, warn, fail, total, tokensA, tokensB, added[], removed[], renamed[], valueChanged[], scaleDiff, structureDelta, contrastDrift[], scoreDelta, checks[] }. Results cached ~24h per URL pair.

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• payment_cutoff_times

  banking-intelligence

  Get payment system cutoff times for major clearing systems. Covers RTGS (T2 — formerly TARGET2, CHAPS, Fedwire, BOJ-NET, SIC), net settlement (CHIPS, BACS), SEPA schemes (SCT, SCT Inst, OCT Inst, SDD Core, SDD B2B), FX settlement (CLS, FXYCS), and other systems (CIPS, SPEI, FAST). For same-day EUR guidance: filter by currency="EUR" to retrieve all SEPA schemes plus T2 in one call — the scheme-level view is usually what treasurers need. Underlying CSMs (TIPS, RT1, EURO1, STEP2) are referenced in scheme notes. DST-observing systems also carry `season_now` and `operative_cutoff_today` fields computed for the current date. cutoff_utc/cutoff_local are the STANDARD-TIME (winter) values; summer_offset holds the DST value. Quote the cutoff that `operative_cutoff_today` points at for TODAY's season — do not default to the winter figure when DST is currently in force (e.g. the T2 customer cutoff is 15:00 UTC in summer, not the 16:00 UTC winter value). Args: system: System name (e.g., "T2", "TARGET2", "FEDWIRE", "CHAPS"). Case-insensitive. "TARGET2" and "T2" both resolve to the same entry (T2 is the post-March 2023 name). Omit to list all or filter by currency. currency: ISO 4217 currency code to filter by (e.g., "USD", "EUR"). Examples: payment_cutoff_times(system="T2") payment_cutoff_times(currency="EUR") payment_cutoff_times(currency="USD") payment_cutoff_times()

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• ic_research_ask

  Immersive Commons

  Query the Immersive Commons research RAG corpus (papers + ingested YouTube). Returns top-k chunks with similarity scores and source links. The query text is forwarded to a server-side RAG proxy (supercommons2 via Tailnet Funnel) and NEVER logged on the IC side — privacy contract. Use this for literature lookups, finding related work, surfacing citations the floor has already ingested. Args: { question: string (<=500 chars), k?: number (1-50, default 10), sources?: ('paper'|'book')[] (default ['paper']) }. Returns the upstream RAG response shape — typically { results: [{ paper_id, title, similarity, snippet, link }, ...] }. Required scope: research:query.

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• tengu_copilot_score_ticker

  tengu-firm

  Full per-ticker quant analysis. CALL THIS when the user asks about any specific stock (e.g. 'should I buy NVDA', 'what do you think of TSLA'). Returns blended_score, decile, conformal expected-return interval (90% band), 12-voter breakdown, factor tier, regime context, suggested position size, and a self-contained narrative. Use the narrative as a quotable summary; use the structured fields for follow-up questions. NAMESPACE: FIRM's universe is US EQUITIES. Nine tickers (BTC ETH LINK LTC COMP ARB NEAR APT ATOM) are ALSO crypto symbols; for those the response carries a `ticker_collision` block stating the score describes the US-listed EQUITY. If the user means the CRYPTO asset pass asset_class=crypto, which 404s (no FIRM crypto model yet). NEVER present an equity score as a crypto view.

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• find_similar

  FactorWeave

  Find historical (ticker, date) setups most similar to a query ticker today. Four similarity methods are available: cosine (default, all tiers) ranks by cosine similarity of 32-D regime-aware embeddings; label_aware (PRO+) restricts the backbook to dates in the same SPY volatility regime; supervised (QUANT) projects embeddings through a PLS regression fit on forward-return labels so neighbors are ones whose factor profile most-strongly-predicted realized returns; dtw (HOBBY+) cosine-shortlists then reranks by dynamic-time-warping distance over the rolling return window. Each returned neighbor row carries the analogue's factor row and forward-return labels at that historical (ticker, date) — pre-joined for honest backtests, no extra fetches needed. Use min_lookback_days=30 to filter out same-day correlated tickers. Pass conditioner=vx_term_structure (QUANT only) to additionally filter analogues to dates with a VIX-curve regime similar to today.

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• remediate_findings

  quantakrypto pqc-tools (hosted)

  Produce a deterministic remediation REQUEST bundle (rubric + fix schema + per-finding metadata + fingerprints) for YOU (the host agent) to fix. This tool calls no model and needs no key. For each finding, propose the corrected FULL file content, then VERIFY with verify_fix and keep only fixes that clear the finding. Never touch files with secrets; never auto-merge. Pass 'findings' from scan_path --format json.

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• get_platform_stats

  GlobalGov — Government Procurement Intelligence

  Canonical GlobalGov coverage numbers: total and open solicitation counts, countries covered, source systems, languages, vendor counts. Pre-computed nightly and served from cache; if the cache is cold the tool returns a retryable 'computing' error and the refresh is dispatched automatically. No arguments.

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• ir_get_cross_server_routes

  website-search

  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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• malware_get_cross_server_routes

  website-search

  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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• search_cves

  nvd

  Search NVD for CVE vulnerabilities by product or component name. Returns CVE ID, description, severity, and CVSS score. Search terms are matched against CVE description text and EVERY word must appear, so pass the product name ("OpenSSL", "log4j", "nginx") optionally with a technical term ("buffer overflow") — not a plain-English question. Use when researching security threats or checking if a known vulnerability affects your systems.

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• palette_gradient

  Colour Memory

  Generate a perceptually smooth gradient between 2-5 archive anchor colours. Each interpolated stop snaps to the nearest real archive colour by CIEDE2000. Anchor stops are kept true to their source. Choose linear (physically accurate Lab interpolation) or chroma_preserved (LCh interpolation, short-arc hue, avoids desaturated midpoints). Returns stop array, CSS linear-gradient string, or SVG swatch bar. Use for design briefs, colour journey visualisations, and gradient systems.

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• pentest_analyze_response

  pentest-mcp-server

  Analyze a server response from authorized probing for information leakage, fingerprinting signals, and exploitation opportunities scoped to the authorized engagement. Accepts raw HTTP response headers and body (paste from Burp, curl, or any HTTP client) and returns structured findings grouped by category. Each finding includes: what was detected, why it matters for an authorized tester, how a defender detects misuse, and recommended remediation. Identifies version disclosures, stack traces, debug headers, internal paths, JWT/cookie patterns, CORS misconfigurations, and other common leakage patterns. Use as the bridge between recon/probing output and the methodology and payload tools.

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• tr_address_parse

  Temsor API — Turkey & EU business data

  Splits a free-form Turkish address into neighbourhood, street, building, floor, flat, district, province and postcode. Handles the abbreviation chaos (Mah./Mh., Cd./Cad., Sk./Sok., No:12/5, K:3 D:7), cross-checks the province against the postcode, repairs misspelled district names against a dictionary, and returns a confidence score. Anything it could not place is listed in `unparsed` — nothing is dropped silently. Built for shipping, checkout and CRM systems that receive Turkish addresses typed by humans.

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