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605,151 tools. Updated 2026-09-23 23:14

"A tool for reading documents in various formats" matching MCP tools:

  • Analyzes Florida real estate title documents and returns a structured risk report: a risk score (0-100, higher is safer) and level, findings with verbatim evidence from the documents and guidance on how to cure each one, and the Schedule B-I requirements extracted from any title commitment in the package. Accepts one or more PDF documents as base64 strings (deed, title commitment, mortgage, closing disclosure, survey, payoff letter, HOA estoppel, etc.), including a single PDF containing a whole closing package, which is split into its constituent instruments. Submitting several documents together also enables cross-document checks for contradictions in parcel ID, address, and party names. Uses one of your 3 free analyses (sandbox tier) or 1 credit (paid tiers). Florida properties only — call check_coverage first to confirm scope, and get_credit_balance to confirm available credits.
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  • Returns a READING LENS: a presentation procedure for this dataset, written for a particular kind of reader. A lens selects which tools to use and frames how their output is presented; it never concludes, never ranks, and carries no write tool — this server has none. Call with no argument to list the lenses. Call with one to get its full procedure: what to lead with, the tools in its scope, and — the part that matters most — what that lens explicitly does not do. Reading a lens before presenting anything from this dataset is the intended use. It is guidance for presentation, not data about the market, and it adds no figures of its own.
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  • Current climate reading for a commodity: risk level, the measured production shock in % of the harvest, and the projected physical loss in tonnes per horizon (1, 3, 6 and 12 months) with its range. `scope` sets the geographic cut — 'br' (the default) reads the country, 'region:SE' a macro-region (N, NE, CW, SE, S), 'uf:MG' a single state — and moves only the risk level and the shock: the loss in tonnes stays national at any scope. A commodity without a validated model returns a descriptive reading with no verdict, and a season not yet measurable returns the previous one, each flagged in the caveats. Climate here predicts PRODUCTION. The price question for the same hub is kyrodata_get_hub_summary, and the published season-by-season balance sheet is kyrodata_get_supply_demand_balance. Credit class: level (any level tool in a 60-second session = 2 credits; a session is capped at 3).
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  • Convert HTML or Markdown to a pixel-perfect PDF. Returns JSON: { url } — a temporary download URL (valid ~1 hour). Great for generating invoices, reports, receipts, or formatted documents programmatically. Supports full HTML/CSS including tables, images (base64 or URL), and inline styles. For Markdown input, set format='markdown'. 50 sats per conversion. Use convert_file instead for converting existing files between formats (e.g., DOCX→PDF). Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='convert_html_to_pdf'.
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  • Use this for a starting reading order in EU payments legislation when a relevant curated pathway exists. For other subjects use search_legislation. Curated reading pathways into the corpus for a stated audience: ordered waypoints with cite anchors every other tool can open, related defined terms and known pitfalls. The prose is editorial and labelled as such — it maps the reading order, never legal weight. Omit the pathway argument for the catalogue; an unknown id is refused with the catalogue, nothing substituted. Catalogue entries and pathway waypoints paginate whole: follow pagination.next_cursor with the same pathway and limit until complete.
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  • Casts a short thought into sendiment (https://benjaminmower.github.io/sendiment/), a public river of ephemeral thoughts. The thought appears to visitors, drifts down the screen, and sinks (disappears) roughly a day later unless other visitors 'skip' it to extend its life. Casts made through this tool are marked as AI in origin and rendered with a distinct dashed border in the river, so nobody mistakes them for a person's thought. This is part of an open experiment in whether AI-authored thoughts are worth reading alongside human ones — cast something real, not a demo string.
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Matching MCP Servers

  • F
    license
    A
    quality
    D
    maintenance
    Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.
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  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
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Matching MCP Connectors

  • Create a complete 5e24 monster character in one call. Replaces the `vault_create_character` + multiple `vault_update_character` pattern for monster authoring — fully typed input schema, so structured fields cannot be silently stringified. Caller passes source-text values (final AC, skill bonuses, attack bonuses); gateway computes the stored base values, derives proficient / expertise / misc flags, formats spell-list markdown, creates recharge trackables, generates the Challenge / Legendary Actions / Speed-alternate-form notes. Sets `type: 'monster'`, `settings.autoPassiveBonuses: false`, and the derived `core.experience` automatically. The authoring guide at `vault_get_authoring_guide({ rulesetCode: '5e24', entityType: 'monster' })` documents every field's source-text meaning and is the conventions reference for what shape to send. Returns the created character document.
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  • Curated TuLugar guides (general education, kept current): buying-process (step-by-step + documents), foreigners (rights + restrictions for non-Paraguayans), closing-costs (what fees exist), renting (contracts, deposits, garante), publishing (listing tips), airbnb (short-term rental basics). ALWAYS use this for "how does buying/renting work" / process / documents questions — the content IS in scope to share; only personalized legal advice is not.
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  • Curated TuLugar guides (general education, kept current): buying-process (step-by-step + documents), foreigners (rights + restrictions for non-Paraguayans), closing-costs (what fees exist), renting (contracts, deposits, garante), publishing (listing tips), airbnb (short-term rental basics). ALWAYS use this for "how does buying/renting work" / process / documents questions — the content IS in scope to share; only personalized legal advice is not.
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  • Return the Wheel of Heaven interpretive framework's reading of a topic — explicitly the project's own Raëlian-canon-centred position, NOT mainstream consensus. Accepts a framework topic (overview, hypothesis, terminology, timeline, sources, method) for the curated narrative documents, or any other term to get the framework reading from the closest wiki entry. Use fact-layer tools (get_passage, compare_traditions) for source-grounded data without this framing.
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  • Run Zetesis's graded reading of a scientific, biomedical, clinical, or AI/ML claim. Grades each evidence dimension and returns an overall reading, with every source cited by hard public id (PMID, DOI, NCT, NIH grant, SEC filing). Covers drug, omics, target-validation, diagnostic, and AI-model claims. Runs the hosted engine end to end and typically takes a couple of minutes, long enough that some clients background or time out the call. The output is Zetesis's own reading as a finished artifact. zetesis_scope and zetesis_evidence return the same dated sources and the same grading rubric immediately and without running a model, at full source depth rather than abstract level. A signed, independently re-checkable dossier is available by request at the Zetesis site. Args: claim: the claim to evaluate, in one or two sentences. context: optional background (stage, field, the decision at hand). documents: optional source text (a deck, abstract, or paper). as_of: year the claim was made. Set it for any claim that is not brand new. It restricts evidence to what existed then, which both keeps later outcomes out of the reading and sharply improves what is retrieved: left open, a pivotal trial report competes with every paper published since and gets buried.
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  • Stake SOL with Blueprint validator in a single call. Builds the transaction, signs it with your secret key in-memory, and submits to Solana. Returns the confirmed transaction signature. Your secret key is used only for signing and is never stored, logged, or forwarded — verify by reading the deployed source via verify_code_integrity. This is the recommended tool for autonomous agents.
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  • Stake SOL with Blueprint validator in a single call. Builds the transaction, signs it with your secret key in-memory, and submits to Solana. Returns the confirmed transaction signature. Your secret key is used only for signing and is never stored, logged, or forwarded — verify by reading the deployed source via verify_code_integrity. This is the recommended tool for autonomous agents.
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  • Returns a row-aligned reading view for every word in a verse (or one word, if word is given): original text, transliteration, gloss (via lexicon_lookup), grammar, and manuscript attestation stacked per word - the composed display shape for a study reading view, built on parse and lexicon_lookup rather than any new query. This is the most complete per-word view; use parse or attestation when you want only one of those facets.
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  • Which of the 1,422 published town meeting documents contain a word — every board, 2025 onward. Returns the board, the date and a citable URL for each. AN EMPTY RESULT MEANS THE WORD IS NOT IN THE INDEXED DOCUMENTS, which is not the same as nobody having said it: the archive starts in January 2025. It matches words exactly, so plurals are separate terms — search "jersey" and "jerseys" both.
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  • Delete a folder while preserving its documents. Direct child folders and documents are detached according to the server folder rules, and reindexing is queued for affected documents. Requires write access in the permitted workspace or category. Returns the folder ID and deleted=true.
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  • Optimize an image: smart lossy compression (typically 60-80% size reduction), optional resize/upscale/format conversion, and AI-generated SEO metadata. Accepts absolute local file paths or remote URLs. In remote/API mode, only remote URLs are supported. Supported input formats: JPG, PNG, WebP, AVIF, GIF, SVG, ICO, HEIC, TIFF, BMP (max 50 MB). Supported output formats: JPG, PNG, WebP, AVIF, GIF, SVG, ICO. Each call costs 3 credits + 1 if SEO tags enabled. Animated GIFs are processed frame-by-frame (each frame optimized individually). Cost = frames × per-frame operations. Use confirm_gif_cost: true after reviewing the cost warning. Free tier: 20 credits/day, no signup. Log in with the login tool for more credits. Use status tool to check remaining credits before batch processing.
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  • USE WHEN reading the full content of a Pine Script v6 documentation file. Returns the file content; when limit is set, a header shows the char range and offset to continue reading. AFTER calling this tool, use offset=<end> to continue if the header indicates more content is available. For large files (ta.md, strategy.md, collections.md, drawing.md, general.md), prefer list_sections() + get_section() instead. Data sourced from bundled Pine Script v6 documentation.
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  • Operated by an artificial intelligence, not by a person. Return the price, the terms and the checkout link for the paid product this tool covers: a watch on ONE domain. The six reading tools here are free and stay free; this tool exists because a reading answers a question once and a DNS record is a state, not a fact. A watch reads the domain SPF and DMARC on two independent resolvers at least once every 24 hours, emails a first reading as a baseline, then stays silent until something changes: SPF text, counted lookup total, a crossing of 8 or of the RFC 7208 limit of 10, an include added or removed, DMARC p or sp changed, or either record stops resolving. Every alert prints the previous and new reading side by side with the timestamp of each. 12 US dollars per month, one domain. Cancel by one line of email, month in progress refunded. Use this when a caller asks to be told IF a domain record CHANGES, to monitor or watch a domain, or asks what this costs. THIS TOOL DOES NOT TAKE PAYMENT AND DOES NOT START A WATCH: it returns a link a person must open and pay at, and the watch begins only after that payment.
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