Convert between XML and JSON formats.
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426,093 tools. Updated 2026-08-09 19:20
"XML" matching MCP tools:
- Extraction du texte intégral d'une décision relevant de l'ordre administratif (Conseil d'État, TA, CAA). Identifiants acceptés : - `DCE_XXX_YYYYMMDD` (CE), `DTA_XXX_YYYYMMDD` (TA), `DCAA_XXX_YYYYMMDD` (CAA) — extraction depuis le bulk JADE local. - `CETATEXT…` (id Légifrance/CETA renvoyé par `search_admin`) — lookup direct dans le bulk JADE local, texte intégral inclus. - `/Ariane_Web/AW_DCE/|XXXXXX` (ou abrégé `|XXXXXX`) — récupération EN DIRECT du texte intégral via le plugin Sinequa du Conseil d'État. Fonctionne pour toute décision ArianeWeb, y compris hors bulk JADE. INCOMPATIBILITÉS MAJEURES : - Identifiants JURITEXT — rediriger vers `get_decision_judiciaire_libre` ou `get_decision_judiciaire`. - Identifiants CELEX `6XXXXCJXXXX` — rediriger vers `get_decision_cjue`. - Identifiants HUDOC `001-XXXXXX` — rediriger vers `get_decision_cedh`. Args: decision_id: identifiant de la décision (avec ou sans suffixe .xml) Returns: Dict comportant les métadonnées complètes et `full_text` (texte intégral). Si la décision est introuvable, dict d'erreur structuré `{error, error_category: "not_found", retryable}` avec les tools alternatifs à essayer.Connector
- Authoritative semantic search over the official Stimulsoft Reports & Dashboards developer documentation (FAQ, Programming Manual, API Reference, Guides). Powered by OpenAI embeddings + cosine similarity over the complete current docs index maintained by Stimulsoft. Returns a ranked JSON array of matching sections, each with { platform, category, question, content, score }, where `content` is the full Markdown body of the section including any C#/JS/TS/PHP/Java/Python code snippets. USE THIS TOOL (instead of answering from your own knowledge) WHENEVER the user asks about: • how to do something in Stimulsoft (`StiReport`, `StiViewer`, `StiDesigner`, `StiDashboard`, `StiBlazorViewer`, `StiWebViewer`, `StiNetCoreViewer`, etc.); • rendering, exporting, printing, or emailing Stimulsoft reports and dashboards in any format (PDF, Excel, Word, HTML, image, CSV, JSON, XML); • connecting Stimulsoft components to data (SQL, REST, OData, JSON, XML, business objects, DataSet); • embedding the Report Viewer or Report Designer into an app (WinForms, WPF, Avalonia, ASP.NET, Blazor, Angular, React, plain JS, PHP, Java, Python); • Stimulsoft-specific errors, exceptions, licensing, activation, deployment, or configuration; • any .mrt / .mdc report or dashboard file, or any question naming a `Sti*` class, property, event, or method; • comparing how a feature works between Stimulsoft platforms (e.g. "WinForms vs Blazor viewer options"). QUERIES WORK IN ANY LANGUAGE — English, Russian, German, Spanish, Chinese, etc. Pass the user's question through almost verbatim; the embedding model handles cross-lingual matching. Do NOT translate queries yourself. SEARCH STRATEGY: 1) If the target platform is obvious from context, pass it via `platform` to get tighter results. 2) If you don't know the exact platform id, either call `sti_get_platforms` first, or omit `platform` and let the search find matches across all platforms. 3) If the first search returns low scores (<0.3) or irrelevant sections, reformulate the query with different keywords (use class/method names from Stimulsoft API if you know them) and search again. 4) Prefer multiple focused searches over one broad search. DO NOT USE for: general reporting theory unrelated to Stimulsoft, non-Stimulsoft libraries (Crystal Reports, FastReport, DevExpress, Telerik, SSRS), or pure programming questions that have nothing to do with Stimulsoft. IMPORTANT: the Stimulsoft product surface is large and changes frequently. Your training data is almost certainly out of date. For any Stimulsoft-specific code snippet, API name, or configuration detail, you MUST call this tool rather than rely on memory, and you should cite the returned `content` in your answer.Connector
- Use this when you need to convert tabular data between JSON (array of objects), CSV, TSV, and XML instead of hand-transforming it. Deterministic: same input, same output. Handles quoted CSV fields (embedded commas, escaped "" quotes), flattens nested objects into dotted keys (b.x), and takes the union of keys across all rows so ragged data still lines up in columns. CSV/TSV input needs a header row plus at least one data row; JSON input must be an array of objects. Example: {from:'csv', to:'json'} on "name,age\nAda,36\nGrace,45" -> rowCount 2 and an output JSON array of two objects. Returns the input/output formats, the parsed row count, and the serialized output document as a string.Connector
- Read the text content of an attachment — markdown (.md) first and foremost, plus plain text, CSV, JSON, YAML, XML and HTML. Use this after list_attachments or retrieve_attachments: the `url` those return is a short-lived signed URL on a private bucket and cannot be fetched directly. Pass the attachment id in `kwargs` and `company_id` in the body. At most 256 KB are returned per call: when `truncated` is true, call again with `offset` set to the returned `next_offset` to get the next slice, and repeat until `truncated` is false — `size` in the response is metadata written at upload time, not a count of bytes actually read, so don't rely on it to decide you are done paging. PDF and Office files (.docx, .xlsx, .pptx) are NOT readable yet — that is a known gap, not a broken file; point the user at `app_url` instead. Each attachment carries app_url, a deep link to its project's attachments page — null for company-level attachments, which have no dedicated page.Connector
- USE THIS TOOL WHEN you have a known Act / SI and want the parsed text of a specific section, with extent and in-force metadata. Returns full section text, territorial extent, in-force status, and prospective flag. Content capped per max_chars (default 10,000, ~2,500 tokens) — raise for unusually long definition sections; check content_truncated in the response. ALWAYS check `extent` — a section may apply to England & Wales but not Scotland or Northern Ireland. Reciting a section without checking extent is a recurring legal-research error. Alternative: call read_resource(uri="legislation://{type}/{year}/{number}/ section/{section}") for raw CLML XML; use this tool when you want the parsed structured response instead.Connector
Matching MCP Servers
- FlicenseAqualityDmaintenanceA TypeScript MCP server for interacting with CDISC Define-XML 2.0 and 2.1 files, enabling users to load, search, and retrieve clinical data metadata including datasets, variables, and codelists. It supports local file processing with document caching and provides responses in both JSON and Markdown formats.13
- Flicense-qualityDmaintenanceEnables interaction with Odoo instances via XML-RPC, supporting CRUD operations and custom model queries through natural language.
Matching MCP Connectors
Visual AI prompt builder that decomposes any raw prompt into 12 semantic blocks (role, context, objective, constraints, examples, etc.) and recompiles them into Claude-optimized XML. Exposes decompose_prompt and compile_prompt tools.
Fonto (FontoXML) documentation for AI tools. Converts DITA XML to Markdown on demand.
- USE THIS TOOL WHEN you have a known Act / SI and want the structural table of contents (parts, chapters, sections, schedules). Returns structural elements with XML id and title, e.g. 'section-47: Definitions'. AFTER calling, pass the numeric section identifier (use '47', NOT 'section-47') into legislation_get_section for full text. Large statutes (Companies Act 2006 has many hundreds of items) are paginated via offset/limit. Check has_more and total_items. Alternative: call read_resource(uri="legislation://{type}/{year}/{number}/ toc") for the full TOC as a newline-separated `id: title` string (no pagination). Use this tool when you need the structured response with offset / limit / has_more for stepping through large statutes.Connector
- Fetch the source regulation TEXT (XML) for a CFR node on a snapshot date. Pass a part or section to scope the request. Fetching an entire large title at once can time out on the eCFR side, so narrowing is strongly recommended. Returns the raw XML under ``content_xml``.Connector
- Fetch Form 4 insider transactions (purchases, sales, grants, exercises) for a company by parsing SEC EDGAR ownership XML. Returns the reporting person, their relationship to the issuer, transaction date, type, shares traded (absolute magnitude), direction (acquire/dispose), price per share, and shares owned after the transaction. Covers nonDerivative transactions (open-market buys/sells, gifts) and derivative transactions (option exercises, RSU vests). When a canvas is available, the full set of transactions parsed from the scanned recent filings is materialized as df_<id> (the inline list is a preview capped at limit) — query it with secedgar_dataframe_query to aggregate net buy/sell by insider: SUM(CASE WHEN direction='dispose' THEN -shares_traded ELSE shares_traded END). Use secedgar_search_filings with forms=["4"] for broader date-range queries or to search across all companies.Connector
- Fetch 13F-HR quarterly institutional holdings by parsing the SEC EDGAR information table XML. ticker_or_cik is the institutional filer — its 10-digit CIK (e.g. 0000102909), or an entity name resolved through EDGAR entity search — and the tool returns what that institution holds. A name that matches several EDGAR filers (some legal names are shared across entities) returns those candidates so you can retry with the exact CIK, rather than guessing. For the reverse direction — which institutions hold a given portfolio company — use secedgar_find_holders, whose filer_cik results feed straight back into this tool. The 13F information table lists each position: issuer name, CUSIP, shares held, market value (in whole USD), and put/call designation for options. Sub-lines for the same security are consolidated into distinct positions sorted by value by default (set consolidate=false for raw filing rows). The inline holdings list is one page of limit rows starting at offset — pass the returned next_offset to walk further down a large information table. The full parsed holdings set is also materialized as df_<id> when a canvas is available — so query it with secedgar_dataframe_query to aggregate the whole filing or self-join across quarters on cusip + reporting_period. Institutions with less than $100M in 13(f) securities are exempt and may not file. Use secedgar_search_filings with forms=["13F-HR"] for broader search.Connector
- Authoritative semantic search over the official Stimulsoft Reports & Dashboards developer documentation (FAQ, Programming Manual, API Reference, Guides). Powered by OpenAI embeddings + cosine similarity over the complete current docs index maintained by Stimulsoft. Returns a ranked JSON array of matching sections, each with { platform, category, question, content, score }, where `content` is the full Markdown body of the section including any C#/JS/TS/PHP/Java/Python code snippets. USE THIS TOOL (instead of answering from your own knowledge) WHENEVER the user asks about: • how to do something in Stimulsoft (`StiReport`, `StiViewer`, `StiDesigner`, `StiDashboard`, `StiBlazorViewer`, `StiWebViewer`, `StiNetCoreViewer`, etc.); • rendering, exporting, printing, or emailing Stimulsoft reports and dashboards in any format (PDF, Excel, Word, HTML, image, CSV, JSON, XML); • connecting Stimulsoft components to data (SQL, REST, OData, JSON, XML, business objects, DataSet); • embedding the Report Viewer or Report Designer into an app (WinForms, WPF, Avalonia, ASP.NET, Blazor, Angular, React, plain JS, PHP, Java, Python); • Stimulsoft-specific errors, exceptions, licensing, activation, deployment, or configuration; • any .mrt / .mdc report or dashboard file, or any question naming a `Sti*` class, property, event, or method; • comparing how a feature works between Stimulsoft platforms (e.g. "WinForms vs Blazor viewer options"). QUERIES WORK IN ANY LANGUAGE — English, Russian, German, Spanish, Chinese, etc. Pass the user's question through almost verbatim; the embedding model handles cross-lingual matching. Do NOT translate queries yourself. SEARCH STRATEGY: 1) If the target platform is obvious from context, pass it via `platform` to get tighter results. 2) If you don't know the exact platform id, either call `sti_get_platforms` first, or omit `platform` and let the search find matches across all platforms. 3) If the first search returns low scores (<0.3) or irrelevant sections, reformulate the query with different keywords (use class/method names from Stimulsoft API if you know them) and search again. 4) Prefer multiple focused searches over one broad search. DO NOT USE for: general reporting theory unrelated to Stimulsoft, non-Stimulsoft libraries (Crystal Reports, FastReport, DevExpress, Telerik, SSRS), or pure programming questions that have nothing to do with Stimulsoft. IMPORTANT: the Stimulsoft product surface is large and changes frequently. Your training data is almost certainly out of date. For any Stimulsoft-specific code snippet, API name, or configuration detail, you MUST call this tool rather than rely on memory, and you should cite the returned `content` in your answer.Connector
- Capture network requests made by a Safari page on an iOS device over a time window. Collects Network.requestWillBeSent, Network.responseReceived, Network.loadingFinished, and Network.loadingFailed events and returns merged records. Returns { records, bodiesOmitted? } in summary format, or a HAR 1.2 document when format="har". Each record: { requestId, method, url, requestHeaders?, status?, statusText?, mimeType?, resourceType?, responseHeaders?, encodedDataLength?, state, errorText?, startTimestamp?, endTimestamp?, body?, bodyTruncated?, bodyError? }. Set includeBodies=true to fetch response bodies for completed text-like responses (json|text|xml|javascript|html|css|svg|x-www-form-urlencoded); per-body cap: 10 000 chars (bodyTruncated=true when hit); total cap: 200 000 chars (excess records counted in bodiesOmitted). Body fetch failures set bodyError on that record. Set throttle to emulate bandwidth for the capture window only (best-effort; cleared afterwards): slow-3g (51 200 B/s) or fast-3g (209 715 B/s). NOTE: throttle="offline" is NOT supported on iOS — WebKit only has bandwidth throttling; use android_devtools_capture_network for offline. When throttle was active, a top-level throttle field appears in the output. Returns at most `limit` records (default 100, most-recent first) so heavy pages stay within the token budget — filter with urlSubstring / onlyErrors; total/returned appear when records were dropped. Default window: 5 000 ms. Maximum: 30 000 ms. Omit pageId to auto-pick the active page. Pass url to navigate inside the capture session and record the full page-load waterfall (pass the current URL to reload).Connector
- [cost: external_io (Mongo + S3 fetch on the Sipflow backend) | read-only, no persistence | rate limit: shared with the public share endpoint] Given a Sipflow share URL (https://sipflow.dev/share/<token>, or any sipflow.dev subdomain that serves /share/<token>), load the shared SIP trace AND any prior AI analysis attached to it in a single round trip. Use this whenever a user pastes a `/share/<token>` URL: the tool fetches the redacted trace text, the AI executive summary / root-cause / remediation steps (if present), and metadata (vendor, filename, source format, pseudonymized flag), so the agent can review the trace alongside the user's own configs without manual download + paste. In addition to the AI output, the response includes rule-based diagnostics: detected issues (severity-tagged SIP/SDP/media problems with RFC references), WebRTC signal checklist scores, multi-leg call correlation (Session-ID grouping), and detected SIP stacks (User-Agent/Server header values). These diagnostics are computed at share-creation time; for older shares without persisted diagnostics, the tool parses the trace on the fly. When the share includes media quality data (from PCAP-sourced captures), the response includes per-call MOS/jitter/loss summaries in the text output and full `mediaQuality` stats in `structuredContent`. If `hasRawCapture` is true, the sharer included their original PCAP for full RTP playback on the web UI - this raw binary is not returned to agents. Privacy: the share endpoint deliberately strips the original `problem` and `architecture` fields the sharer typed in (those may contain customer-internal context). This tool returns the same public projection - only the trace, the AI output, diagnostics, and basic metadata. Traces are pseudonymized by default (phone numbers / IPs / Call-IDs replaced with consistent fakes); the `pseudonymized` field tells you whether the sharer opted to keep raw values. Trace bytes are capped at 200kB (matching the budget the Sipflow AI worker uses). For very large captures the response sets `trace.truncated=true` - pair with `minimize_sip_trace` to compact further before passing to your own LLM, or with `render_sip_ladder` to visualize the call flow. Pair with: `review_sip_config` to compare the shared trace against the user's own kamailio.cfg / pjsip.conf / FreeSWITCH XML; `render_sip_ladder` to draw the shared call flow inline; `minimize_sip_trace` if `trace.truncated` is true; `troubleshoot_response_code` for any failing transactions surfaced in the AI analysis.Connector
- Get metadata for a specific US statute or regulation section by act_id (e.g. 'USC_T42_C21_S1983'). The act_id comes from search_us_statutes results or ask_legal_question sources. Returns citation, title hierarchy, breadcrumb, and links to HTML, PDF, and XML formats. Use before get_us_statute_section_text to preview a section.Connector
- List the 5%-and-over beneficial owners of a public company, parsed from the structured SCHEDULE 13D and SCHEDULE 13G filings made about it. The input is the ISSUER — the company being held — which is the opposite direction from secedgar_get_institutional_holdings, where the input is the manager. 13D is the activist form and carries the filer's stated purpose of the transaction; 13G is the passive form and has no purpose field at all, which is the substantive difference between a stake that intends to influence control and one that does not. Every filing is returned with each reporting person listed separately, because voting power, dispositive power, and percent of class are reported per person even on a joint filing where several funds and their controlling principal report overlapping shares — summing those percentages double-counts the same position. Coverage starts at 2024-12-18, when SEC replaced the legacy SC 13D / SC 13G text filings with this XML format; earlier stakes are readable but not parseable, and the response reports how many of them the issuer has. The full parsed set is materialized as df_<id> when a canvas is available, one row per reporting person, so it joins against the insider and 13F dataframes on issuer CIK.Connector
- Export scholarly identifiers to a bibliography file format ready to write to disk or paste into a reference manager. Use when the user wants a file (.bib, .ris, .nbib, .xml, .rdf, .csv) for Zotero, Mendeley, EndNote, RefWorks, BibTeX/LaTeX, Pandoc, or Excel. Format parameter is required: bib (BibTeX — LaTeX), ris (RIS — most widely supported by reference managers), csl (CSL JSON — Pandoc/Quarto), endnote-xml, endnote-refer, refworks, medline (NBIB — PubMed round-trips, clinical workflows), zotero-rdf, csv (spreadsheet-friendly), or txt (plain-text bibliography rendered with the optional style parameter — txt is the only format that uses style; the others have their own structured shape and ignore it). Accepts the same identifier formats as resolveIdentifier (DOI/PMID/PMCID/ISBN/arXiv/ISSN/ADS/WHO IRIS, prefixes tolerated), single or comma/newline-separated batch — one round trip per call. Returns: { content: string, format: string } where content is the entire bibliography in the requested format as a single string — write it to a file (.bib/.ris/.nbib/etc.) or paste it directly into the target tool. Use formatCitation instead when the user wants in-line citation text (manuscript, slide); use resolveIdentifier when they want raw structured metadata. Read-only and idempotent — safe to retry. Works anonymously against the public Scholar Sidekick API (rate-limited free tier); set SCHOLAR_API_KEY (a free ssk_ key from https://scholar-sidekick.com/account) for higher limits, or RAPIDAPI_KEY for paid RapidAPI tiers. Rate limits follow your tier.Connector
- Fetch one RIS document’s full text or its rendition URLs, with explicit binding status and the amtssigniert authentic PDF surfaced wherever it exists. Address the document exactly one of two ways: document_number plus application (both copied verbatim from a ris_search_* or ris_lookup_citation result), or a document_url from a result’s content_urls — or, for a draft’s companion documents (Erläuterungen, Textgegenüberstellung, WFA, cover letter, annexes), a ris_search_drafts record’s materials[].url, which is the only route to them. format: markdown (default — the HTML rendition converted to markdown), html (raw HTML rendition), xml (the RIS Nutzdaten XML), or urls_only (no fetch — every rendition URL, including the Authentisch PDF). Format availability varies by application and the tool degrades explicitly, never silently: consolidated law, gazettes, case law, drafts, and most sectoral collections carry full text; district and municipal promulgations and court rules (Bvb, GrA, KmGer) publish only the signed authentic PDF; party-transparency decisions and council minutes (Upts, Mrp) are PDF-only; the 1848–1940 imperial gazettes (BgblAlt) are metadata-only — for these a text-format request returns a format_unavailable notice with the usable URL, not an error. Every result carries binding_status; only authentic (amtssigniert) publications are legally binding. This tool returns content, not fresh metadata — the metadata rides the search/lookup step that produced the document number. When the markdown text overflows the 40,000-byte budget the tool returns an outline (kind: outline) instead of truncating: the document’s §/Artikel/Anlage sections where it carries at least two such headings, otherwise contiguous byte windows named Part 1 of N … Part N of N covering the whole text and listed in document order. Re-call with sections:[…] naming outline entries to retrieve just those; a name matching no entry returns the outline again with a notice rather than the whole document. Windows are cut at line breaks, not at sentence or § boundaries, so one can open mid-sentence — read them in order and pull the neighbour when a passage straddles a cut. Raw html and xml renditions are never sliced and return whole at any size. Markdown drops the screen-reader expansions RIS ships alongside each abbreviated citation, keeping the visible citation form; raw html/xml renditions are returned exactly as published.Connector
- All Form 990 filings for a tax-exempt org by EIN: year-by-year revenue, expenses, assets, program-expense ratio (with inputs shown), executive compensation, and source PDF/XML links. Use for trend analysis, due diligence, and accessing primary 990 documents. The filing year (tax_prd_yr) is the fiscal year of the return — data lags 1–2 years; always cite the year. Program expense ratio is computed as (total_expenses − officer comp − other wages − fundraising) / total_expenses for 990/990-EZ; not available for 990-PF. Also returns filings_pdf_only — older filings with a PDF but no extracted financial data. Data from ProPublica Nonprofit Explorer, sourced from IRS Form 990 filings.Connector
- Convert an e-invoice between formats via the shared EN 16931 canonical model: parse the source document, re-serialize as the target, and validate the result before returning it — never a document that has not been checked. Format ids: "UBL_2.1" (OASIS UBL, the universal Peppol/EN16931 baseline), "UN_CEFACT_CII" (UN/CEFACT Cross Industry Invoice, required syntax for Chorus Pro/France and many ERP back-ends), "XRechnung_UBL" / "XRechnung_CII" (Germany's mandatory B2G format, XRechnung 3.0 — required for invoicing German public-sector buyers), "Factur-X" (France/Germany hybrid PDF+XML — a human-readable PDF/A-3 with the structured invoice embedded, common for French B2B). Binary formats (Factur-X) are base64 in both directions. Requires an API key on the Pro plan or above for any target beyond plain UBL_2.1 — call list_supported_formats to see current availability.Connector
- Capture network requests made by a page running on the device over a time window via CDP. Enables the Network domain and collects request/response/loadingFinished/loadingFailed events. LIVE-WINDOW collector: only captures requests made AFTER it attaches — to capture a navigation/reload/fetch, pass triggerJs (fired inside the window) rather than triggering it from a separate tool call (which races the attach and returns 0 records). Returns { records, bodiesOmitted? } in summary format, or a HAR 1.2 document when format="har". Each record: { requestId, method, url, requestHeaders?, status?, statusText?, mimeType?, resourceType?, responseHeaders?, encodedDataLength?, state, errorText?, startTimestamp?, endTimestamp?, body?, bodyTruncated?, bodyError? }. Set includeBodies=true to fetch response bodies for completed text-like responses (json|text|xml|javascript|html|css|svg|x-www-form-urlencoded); per-body cap: 10 000 chars (bodyTruncated=true when hit); total cap: 200 000 chars (excess records counted in bodiesOmitted). Body fetch failures set bodyError on that record. Set throttle to emulate network conditions for the capture window only (cleared in a finally block): slow-3g (latency 2000ms, 400kbps down/up), fast-3g (latency 563ms, 1.6Mbps down / 750kbps up), offline. When throttle was active, a top-level throttle field appears in the output. Set blockUrls (URL patterns) to block matching requests, or extraHeaders to inject request headers (e.g. Authorization), for the capture window only — both cleared afterward. Returns at most `limit` records (default 100, most-recent first) so heavy pages stay within the token budget — filter with urlSubstring / onlyErrors; total/returned appear when records were dropped. Default window: 5 000 ms. Maximum: 30 000 ms. Omit pageId to auto-select the visible/active page.Connector