MCP server

Oxford Ledge Official

com.oxfordledge/oxford-ledge

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Ask your assistant; it reads the public record: SEC filings, 13F, insider trades, BDC loans.

Website Source

At a glance

Type

MCP server

Publisher

oxfordledge.com (verified by the MCP Registry)

Status

Working at last check

Tools

60

Token cost

About 19,674 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http oxford-ledge https://www.oxfordledge.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.oxford-ledge]
url = "https://www.oxfordledge.com/mcp"

Gemini CLI

{"mcpServers":{"oxford-ledge":{"httpUrl":"https://www.oxfordledge.com/mcp"}}}

Cursor

{"mcpServers":{"oxford-ledge":{"url":"https://www.oxfordledge.com/mcp"}}}

VS Code

{"servers":{"oxford-ledge":{"type":"http","url":"https://www.oxfordledge.com/mcp"}}}

Antigravity

agy mcp add oxford-ledge https://www.oxfordledge.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"oxford-ledge","server_url":"https://www.oxfordledge.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"oxford-ledge","server_url":"https://www.oxfordledge.com/mcp"}

Tools

• get_13f_holdings ~458 tokens
  What one institutional filer owns: the largest positions in its latest SEC 13F-HR, plus quarter-over-quarter changes. Accepts a numeric CIK (preferred), a ticker (BRK-B or BRK.B for Berkshire), or a filer NAME (3-80 characters): ONE name-prefix match in the curated 13F filer universe resolves to its
• get_activist_stakes ~295 tokens
  Schedule 13D/13G >5% beneficial-owner filings for a ticker -- event-driven stake-building, unlike quarterly 13F. Returns {ticker, count, filings}, newest first, limit default 50 (hard cap 200); rows carry filer_name, filing_date, form_type, shares, percent_of_class, accession_number and is_activist
• get_anomaly_flags ~277 tokens
  Run 15 red-flag screens on a ticker (short interest >12%, Altman Z distress, net leverage >4x, negative FCF, P/E >50, dividend yield >6%, insider net selling, revenue decline, payout >90%, goodwill >50% of assets, SBC >10% of revenue, declining ROIC and others). Returns {ticker, available, flags, co
• get_bdc_list ~278 tokens
  Roster of the ACTIVE BDCs tracked by Oxford Ledge, sorted by portfolio size -- our coverage, not the whole BDC universe; wound-down issuers are excluded by design. No arguments. Returns {bdcs, count}; per BDC: ticker, name, listed (false for a non-traded BDC carried under a pseudo-ticker such as AGT
• get_business_summary ~298 tokens
  First-party business summary for a ticker from its SEC annual report (10-K Item 1; 20-F Item 4 for a foreign private issuer): a curated, verifier-gated overview of what the company does. Returns `summary` (a one-line status line, NOT the content), `available`, `business_summary` (prose truncated at
• get_capital_allocation ~258 tokens
  Where a company sent its cash, up to 30 annual labels. Returns {ticker, capitalAllocation:{years, periods, dividends, netBuybacks, grossRepurchases, netDebtChange, acquisitions, sharesOut, isDilutive, basis, summary}} as PARALLEL ARRAYS aligned to `years` (newest first, fiscal labels). netBuybacks i
• get_corporate_events ~473 tokens
  The 20 most recent 8-K item events for a ticker from Oxford Ledge's 8-K index of SEC EDGAR, NEWEST FIRST -- a hard cap with no caller-settable limit, so a recent-events feed, not a history. Returns {ticker, events, count, coverage, summary}; each event is {ticker, eventDate, eventType, headline, des
• get_debt_maturities ~237 tokens
  Forward debt maturity ladder parsed from the latest 10-K/20-F footnote. Returns {ticker, maturities:[{year, amount}], thereafter, confidence, confidence_score, source, validation}. AMOUNTS ARE IN MILLIONS OF USD, not raw dollars -- 400 means $400M. THE LADDER IS AS OF the filing date, not today: the
• get_economic_calendar ~250 tokens
  Upcoming US macro DATA-RELEASE DATES (a schedule, not estimates) for the 8 tracked releases (CPI, Employment Situation, GDP, Jobless Claims, PCE, PPI, Industrial Production, Retail Sales). Returns {days, events, count, withheld, source_status, error}; each event is {date, event, release_id, release_
• get_fails_to_deliver ~367 tokens
  SEC fails-to-deliver history for one ticker -- the settlement-failure side of short pressure. Returns {ticker, days, history, count, window, coverage, as_of, summary}; each row is {date (settlement date), fails (SHARES, not dollars), price (USD), description}, OLDEST-FIRST. `days` (default 180, hard
• get_fred_data ~312 tokens
  One series from Oxford Ledge's macro SNAPSHOT (about 41 FRED / Treasury series, newest observation each) by FRED id. Returns {series, data: {series, name, value, date, ytdChange, _source}, observation: 'latest_only', note} -- ONE observation, never a history. A series outside the snapshot returns {s
• get_fundamentals ~320 tokens
  Full XBRL financial history for one ticker. Returns {ticker, fundamentals:{years, periods, metrics, balanceSheet, quarterly, basis, as_of}, source_period, as_of}: `years` is newest-first, UP TO 30 annual labels, and every entry under `metrics` / `balanceSheet` is a PARALLEL ARRAY aligned to it by in
• get_insider_activity ~344 tokens
  Recent Form 4 insider transactions for one ticker. Returns {ticker, transactions}: THE 20 MOST RECENT TRANSACTION ROWS ONLY, newest by filing date; `days` filters within those 20 (it never reaches past the 20). Rows carry insiderName, position (the role, the load-bearing signal), transType (the raw
• get_institutional_consensus ~303 tokens
  Which tickers the tracked 13F filers most widely hold in common. Returns {as_of_quarter, tickers_found, min_funds, consensus}; each row is {ticker, issuer_name, fund_count, total_value_usd, total_shares, funds}, ranked by fund_count then value. `consensus` is truncated to top_n (default 50, cap 200)
• get_institutional_holders ~316 tokens
  Which institutions hold one ticker, and which way they moved. Returns {ticker, holders, total_holders, as_of_quarter, coverage}. `holders`: the first `limit` (default 25, max 100) of the top 100 by value; `total_holders` is the TRUE filer count. Each holder carries fund_name, fund_cik, shares, value
• get_news ~269 tokens
  Read the Oxford Ledge news archive by ticker and/or keyword, newest first. Default limit 25, hard cap 100; no pagination offset. THE RESPONSE SHAPE DEPENDS ON THE ARGUMENTS: ticker only returns {articles, total}; any free-text query returns {articles, count} with richer rows (publisher, snippet, sen
• get_portfolio_positions ~242 tokens
  Stored positions of one saved portfolio. Returns {portfolio_id, positions, error} on EVERY path (error is null on success, a string on failure, and positions is [] either way). Each position is ONLY {ticker, shares, costBasis (whole USD, may be null)}, ticker-sorted. THERE IS NO PRICE LEG: no price,
• get_sector_breakdown ~203 tokens
  How Oxford Ledge's covered universe splits across sectors and industries (the whole catalog, NOT a portfolio). No arguments. Returns a BARE LIST of {sector, industry, tickerCount, totalMarketCap}, one row per sector+industry PAIR -- aggregate rows to get a sector total. totalMarketCap IS ALWAYS NULL
• get_value_investing_fact ~331 tokens
  Curated value-investing principle, historical fact or attributed paraphrase from Oxford Ledge's corpus (~2,000 entries about Buffett, Graham, Munger, Klarman and others). THE WORDING IS NOT VERIFIED against the primary source: none is a verbatim quotation unless `verbatim` is true -- so never presen
• get_yield_curve ~252 tokens
  US Treasury yield curve, plus (by default) the wider macro dashboard. TWO DIFFERENT SHAPES. include_history=true returns PARALLEL ARRAYS over 11 tenors (1M..30Y) -- today, ~91 days ago and ~1 year ago -- for steepening/inversion work. include_history false (the DEFAULT) returns {data: [...]}, a flat
• ol_13f_filer_analytics ~243 tokens
  Institutional-filer behavior derived purely from 13F holdings: concentration (top-N %, normalized HHI), turnover, and persistence (long-term holder vs fast money) for one filer. Pass a NUMERIC CIK (a ticker will not resolve here; ol_13f_filer_search finds it). Returns {summary, fund, quarter, n_posi
• ol_13f_filer_search ~300 tokens
  Resolve a 13F FILER name to its CIK -- the front door to get_13f_holdings and ol_13f_filer_analytics when you know the manager ('Berkshire Hathaway', 'Baupost') and not its CIK (search_company resolves ISSUERS). Returns {summary, query, filers: [{cik, name, last_filing, page_url}], count}; name-PREF
• ol_bank_structure_events ~298 tokens
  FDIC STRUCTURAL EVENTS for one bank -- failures, assisted resolutions, mergers, acquisitions, charter changes -- newest first, with is_failure flagged from the FDIC CHANGECODE taxonomy. Pass `cert` (FDIC certificate) or `name`; a name resolves against active institutions AND closed charters, so a FA
• ol_bdc_borrower_dispersion ~416 tokens
  MOAT: cross-lender loan-pricing DISPERSION for one private-credit borrower -- how N different BDCs each price the SAME loan (spread / mark / fair value); when one BDC marks a borrower S+550 @ 98 and another S+575 @ 99, the lenders disagree on the credit. Pass `borrower_norm` (a key from ol_bdc_top_b
• ol_bdc_borrower_news_today ~351 tokens
  MOAT / daily pulse: recent VERIFIED news for the private-credit borrowers held across MULTIPLE BDCs -- 'what broke recently for the cross-BDC borrowers I should watch?'. Returns {summary, count, items}; each item is {borrower, headline, source, url, date}. Matcher-VERIFIED only (>=0.9 confidence) an
• ol_bdc_common_borrowers ~378 tokens
  Borrowers common to a GIVEN SET of BDCs -- the cross-portfolio set question ('what do ARCC, OBDC and AGTC all lend to?') in ONE call. Returns per borrower: borrower, borrower_norm, holder_count, holder_tickers, holders ([{ticker, name}]), total_fair_value and total_par_amount in USD, and as_of_oldes
• ol_bdc_credit_quality ~299 tokens
  BDC non-accrual credit-deterioration signal: the share of debt fair value on non-accrual (loans that stopped paying) in the latest filing, plus the trailing-quarter trend. Returns {summary, ticker, latest, trend}; `trend` is OLDEST-FIRST. flagged_pct is a percentage over the DETERMINATE-flag denomin
• ol_bdc_fee_load ~255 tokens
  BDC fee load + NII-based dividend coverage for ONE fiscal year (not a series). Returns {summary, ticker, fiscal_year, fees, dividend_coverage}; `fees` holds base and incentive fees and net investment income in whole USD; `dividend_coverage` is NII divided by dividends paid, a ratio (0.92 means 0.92x
• ol_bdc_loan_pricing_trend ~284 tokens
  Per-quarter loan-pricing trend for ONE BDC, from the parsed schedule of investments: fair-value-weighted average credit spread, average mark and position counts, OLDEST-FIRST. Returns {summary, ticker, count, spread_unit, trend}. `weighted_avg_spread` is in BASIS POINTS, normalized at the store (the
• ol_bdc_mark_changes ~378 tokens
  MOAT / private credit: the largest quarter-over-quarter MARK moves across a SET of BDC portfolios -- 'which borrowers got marked up or down the most last quarter, and by whom' in ONE deterministic call. Returns {increases, decreases}, each a global ranking; each row is {borrower, portfolio, prior_ma
• ol_bdc_top_borrowers ~313 tokens
  MOAT / BDC discovery: the private-credit borrowers syndicated across the MOST BDCs, ranked by ACTIVE lender count (holder_count_active), then holder_count, then exposure -- the entrypoint for the BDC/private-credit category. Returns {summary, count, borrowers}; each row is {borrower, borrower_norm (
• ol_bond_directory_screen ~588 tokens
  Screen the corporate-bond browse directory by issuer name, grade (IG or HY), and optional coupon and maturity bands. Returns {summary, count, total_matching, bonds}; each bond is {key, issuer_name, coupon (percent number), coupon_type, maturity_date, grade, source_etf}. REFERENCE DATA ONLY -- no pri
• ol_borrower_profile ~358 tokens
  Profile + verified M&A/ownership history for one private-credit borrower. Pass `borrower_norm` (a key from ol_bdc_top_borrowers, or a name). Returns {summary, borrower_norm, borrower, profile, acquisitions, count, public_footprint}: the `profile` (description, industry, known_lenders, lien_position,
• ol_cftc_cot ~358 tokens
  CFTC Commitments-of-Traders positioning for THREE curated markets (keys gold, crude_oil, sp500). Pass `market` for its weekly history, NEWEST FIRST (names are normalised: 'wti', 'GOLD', 'e-mini s&p' resolve), or omit it for the latest report across the three. Returns {summary, market, matched_market
• ol_earnings_calendar ~242 tokens
  Upcoming EARNINGS DATES for one issuer, provenance-labelled: published_events are dates the ISSUER posted on its own IR calendar; estimate is an Oxford Ledge projection from the issuer's SEC filing cadence, with its confidence. Returns {ticker, published_events, published_events_degraded, estimate,
• ol_etf_lookthrough ~323 tokens
  ETF look-through: expand up to 25 ETF tickers into the underlying holdings the fund ITSELF filed on Form N-PORT. Returns {summary, count, etfs, units}; per ETF {etf, name, category, net_assets, in_catalog, series_id, opaque, reason, period_date, holdings_available, top_holdings}. `top_holdings` is v
• ol_fdic_bank ~297 tokens
  FDIC-insured banks and thrifts. Pass `query` for a name PREFIX search against ACTIVE institutions (largest-asset first), or omit it for the largest active institutions. Returns {summary, query?, found?, institutions}. UNITS: `asset` and `dep` are THOUSANDS of dollars. The store is loaded ACTIVE-ONLY
• ol_federal_contracts ~386 tokens
  Federal-contract obligation history for a ticker, OR the fiscal-year leaderboard -- for government-revenue-dependence diligence. TWO SHAPES: exactly one of `ticker` or `fiscal_year` is REQUIRED (both is refused). With `ticker`: per-fiscal-year obligations (USD, the ten largest recipients, dropped_un
• ol_filing_search ~375 tokens
  MOAT (PAID -- AI): semantic retrieval over EMBEDDED SEC filings for a ticker. Ask a natural-language question ('what did they say about supply-chain risk?') and get the most relevant filing CHUNKS back from an Oxford Ledge hybrid retrieval (lexical BM25 plus a dense pass, fused by reciprocal rank).
• ol_form_d_raises ~310 tokens
  Recent SEC Form D private-placement filings from the SEC's QUARTERLY Form D data set -- newest first, optionally scoped to an industry group and/or a trailing filing-date window. Returns {summary, count, days, industry, offerings}. Amounts are whole USD as disclosed; total_offering_amount is a ceili
• ol_fundamentals_screen ~418 tokens
  Threshold screen over up to 10 caller-supplied tickers (extras named in `dropped`) on latest-year SEC EDGAR XBRL fundamentals. Optional criteria: min_revenue, min_free_cash_flow, min_ebit_margin_pct, min_gross_margin_pct, max_debt_to_assets_pct, min_current_ratio, min_net_income (whole USD; *_pct as
• ol_glossary_term ~200 tokens
  Oxford Ledge's editorial GLOSSARY: ~1,500 finance and investing terms written for lifelong students of the market -- definition, worked example, etymology, pronunciation, related terms (see-also), and the learning paths that teach the concept. Look up one term by name (case and punctuation tolerant:
• ol_insider_cluster_scan ~475 tokens
  FLAGSHIP MOAT: scan for ACTIVE multi-insider cluster-buy/sell signals (distinct-actor Form 4 clusters with statistical strength). THREE GRAINS: pass `tickers` for a watchlist, a single `ticker` for that name's recent fired clusters, or NEITHER for the MARKET-WIDE scan (top fired clusters across ever
• ol_insider_recent_buys ~460 tokens
  Recent OPEN-MARKET insider PURCHASES (SEC code 'P') across the Oxford Ledge issuer catalog (~5.3k tickers) -- a daily insider screen. Returns {summary, since_days, count, buys}, NEWEST FIRST; each buy carries ticker, filing and transaction dates, insiderName, position, shares, pricePerShare, totalVa
• ol_institutional_confluence ~254 tokens
  Quarter-aligned institutional-confluence read for one ticker: 13F accumulation x insider Form 4 net buying x buy-cluster confirmation, fused on the ticker's reference 13F quarter. Returns a `verdict` (confluence_accumulation / confluence_distribution / partial_net_adding / partial_net_reducing / neu
• ol_intrinsic_value ~276 tokens
  Per-share intrinsic value from SEC EDGAR XBRL -- three textbook models: a levered-FCF DCF, a Greenwald Earnings-Power-Value, and the Graham number. Returns {summary, ticker, available, dcf_per_share, epv_per_share, graham_number, inputs, assumptions, as_of}; all three values are USD PER SHARE. `assu
• ol_issuer_kpi_panel ~390 tokens
  Tier-3 KPI PANEL for ONE issuer -- curated per-issuer metric rows (ARR, RPO/cRPO, NRR, logo retention, DAU/MAU, capacity utilization, ...) extracted from SEC filing exhibits, WITH the issuer's own metric definitions and full provenance. ABSENCE IS FIRST-CLASS: a row with value=null and is_absence=tr
• ol_maturity_wall ~296 tokens
  The corporate DEBT MATURITY WALL: scheduled bond/loan maturities aggregated by year -- total_by_year, by_rating, top_issuers_by_year, peak_year, concentration. Amounts are USD MILLIONS (see `units`). `by_rating` splits IG vs HY by an Oxford Ledge LEVERAGE HEURISTIC, NOT agency ratings. Market-wide w
• ol_operating_kpis ~325 tokens
  Industry OPERATING KPIs for ONE issuer -- the operational numbers the income statement hides (same-store sales, RevPAR, load factor, medical-loss ratio, net interest margin, TEU, rig count ...) extracted from SEC filings across 26 configured industries, each switched on by a deployment flag, so live
• ol_ownership_changes ~318 tokens
  Quarter-over-quarter institutional accumulation/distribution for one ticker: each fund's position classified new / increased / decreased / exited over the last ~4 quarters -- the 'who is moving on X?' flow read. Returns {summary, ticker, quarters_analyzed, counts, new_positions, increased, decreased
• ol_paper_portfolio ~333 tokens
  YOUR paper (practice) portfolio on Oxford Ledge -- the same snapshot the web sandbox at /practice/ renders: {portfolio, positions, totals, position_theses, summary, has_portfolio}. include_history: true adds recent_trades (history_limit 1..50, default 20). A user with NO portfolio gets {has_portfoli
• ol_paper_trade Moves money · ~606 tokens
  WRITE (opt-in): place a market order in YOUR paper (practice) portfolio -- the same engine, quote, fills and rejections as the web sandbox; no real money, no real account. One of TWO mutating tools here (the other is reading_list_annotate). DEFAULTS TO A DRY RUN: with _dry_run omitted or true nothin
• ol_patents ~294 tokens
  Recent USPTO patent filings for a ticker (innovation-intensity diligence). Returns {summary, ticker, count, filings}, NEWEST FIRST; `limit` default 50, hard cap 200, so this is a recent slice, never a full portfolio, and `count` is the number RETURNED. TRAP: a non-empty patent_number marks a continu
• ol_peer_fundamentals ~282 tokens
  Side-by-side latest-fiscal-year fundamentals for a peer set (the FIRST 6 unique tickers; the rest are named in `dropped`). Returns {summary, count, peers, dropped, as_of}; a peer is {ticker, available, fiscal_year, revenue, net_income, eps_diluted, free_cash_flow, gross_margin_pct, ebit_margin_pct,
• ol_short_interest_trend ~249 tokens
  FINRA short-interest trend for one ticker: the biweekly settlement-date short-percent series, OLDEST-FIRST. Returns {summary, ticker, count, as_of, trend}; each point is EXACTLY {date (settlement date), shortPct (a PERCENTAGE number)} -- no share counts and no days-to-cover. `points` default 6, max
• ol_treasury_debt ~321 tokens
  US Treasury debt composition from the Monthly Statement of the Public Debt. Omit BOTH args for the newest month's full class breakdown; pass security_type AND security_class together for that one class's monthly history (only one of them is refused). Returns {summary, rows}. AMOUNTS ARE IN MILLIONS
• reading_list_annotate ~424 tokens
  WRITE (opt-in): save or update YOUR private note on an Oxford Ledge reading-list entry. One of TWO mutating tools here (the other is ol_paper_trade). DEFAULTS TO A DRY RUN: with _dry_run omitted or true you get a proposal {dry_run: true, tool, args, idempotency_key, message}, not a save. Re-call wit
• search_bdc_borrower ~406 tokens
  Which BDCs lend to one private-credit borrower, matched fuzzily on name -- Oxford Ledge's parse of SEC EDGAR BDC schedules of investments (ol-derived), not filer-published data. Returns borrowerName, borrowerNorm (the key the ol_bdc_* tools take), description, descriptionSource, industry, aggregates
• search_company ~254 tokens
  Resolve a company name, ticker or CIK to its SEC identity. Returns {results, count}, up to 20 matches (hard cap); each result carries SEC-EDGAR-derivable identity fields only: ticker, companyName, cik, sicCode, exchange, fiscalYearEnd, tickerStatus (check it before treating a match as a live listing
• search_news_archive ~258 tokens
  TF-IDF full-text search over the archived news headlines + the pulse-fact corpus (a lexical index, not embeddings). Returns {query, count, results, index}; each result is {type ('news' | 'fact'), text, score (0-1 cosine), metadata}. `limit` default 20, hard cap 50. The first call after a restart pay

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