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618,893 tools. Updated 2026-09-28 10:27

"Latest Python Libraries and Their Purposes" matching MCP tools:

  • Get the curated superinvestor directory — a hand-picked list of well-known value investors and fund managers (Buffett, Ackman, Burry, Klarman and more), each with their 13F filer CIK and latest reported portfolio value, position count, quarter-over-quarter change, and report date. Portfolio value covers long US-listed 13F positions only, not total firm AUM; as-of dates vary by filer, and rows lagging the group's latest quarter are marked (stale). Use the returned CIK with GetInstitutionPortfolio for a manager's full holdings, or GetInstitutionQuarterlyActivity for their latest buys and sells.
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  • Validates a Python automation script that runs OUTSIDE the game, on three axes: Python syntax (using the real interpreter), Minecraft commands embedded in the script (against the official command index), and the shape of the /connect WebSocket message envelope. For behavior pack scripts use validate_script instead — Python does not run inside a pack. The embedded command check is the most valuable one: a command written from memory can look syntactically fine and still do nothing in the game. Only strings starting with / are treated as commands. If syntax could not be checked, syntaxChecked is false in the result; ok:true alone does not mean the syntax is valid.
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  • List the municipalities ZoningVerdict covers, with each pack's version, last-reviewed date, and resolve grade. Coverage is reviewed summaries of public zoning ordinances, for information purposes only. Start here when you do not have a street address; with an address, start with check_coverage.
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  • Build a company financial profile in one call: the latest value of every supported XBRL concept, grouped by statement. Reads the filer's complete companyfacts payload once rather than one request per concept, so it replaces a run of secedgar_get_financials calls when the question is "what do this company's financials look like right now". Values use the same frame dedup and tag priority as secedgar_get_financials, so the two agree for any concept they both cover. Duration concepts (income statement, cash flow, per-share) report their latest full year and latest single quarter; balance-sheet and entity-info concepts report their latest point-in-time value, since that is the only form they are filed in. A concept the filer does not report is listed under gaps with the XBRL tags that were tried — never zero-filled or interpolated. Use secedgar_get_financials for a full time series of one concept, and secedgar_compare_companies to put several companies side by side.
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  • Validates an Argentine CUIT (Código Único de Identificación Tributaria) using the official AFIP checksum algorithm. CUIT is used by companies, self-employed workers, and other entities for tax purposes. Use this tool when processing Argentine invoices, supplier registrations, B2B transactions, or any document requiring a valid Argentine tax identifier. Accepts CUIT with or without formatting (dashes). Returns whether the CUIT is valid, the entity type detected, and the cleaned CUIT.
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Matching MCP Servers

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  • Run Python code from natural language prompts, with optional PyPI package install.

  • Hosted Python sandbox for package runtime verification: pip install and usable-import evidence.

  • Submits a demo request. The prospect receives a confirmation email and must click the link in it before the request reaches a human at A Cloud Frontier. Use only when a real person has explicitly asked for a demo and provided their own working email address. Do NOT call this for testing, evaluation, or crawling purposes — automated and unconfirmable requests are rejected.
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  • List the unified capability providers available to the organization — data sources, MCP servers, skill packs, native tools, and runtime libraries — with their profiles, auth kinds, supported execution owners, and binding scopes. Start here to find provider_id and profile_id for create_capability_binding, then discover_capability_binding to see what a binding exposes. Read-only. Returns the provider records with provider_id, provider_type, auth metadata, supported execution owners, and profiles.
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  • Get the latest competitive intelligence for a cataloged domain: the owner's most recent ranking-footprint snapshot, the AI-prompt vs Google demand table for its watched keywords, and each tracked competitor with their own latest snapshot. Read-only. Only domains whose owner has claimed them are exposed; anything else returns found:false. Counts are ranking FOOTPRINT, never traffic, and every volume is a modelled estimate. A null means no estimate has been collected, never zero.
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  • Compare two institutions' 13F portfolios on their latest common report date. Returns Jaccard and dollar-weighted overlap, portfolio totals, and shared or unique positions. Published values normally use report-date closing prices, may fall back to filer values, and can be zero when unavailable. Resolve filer names with SearchInstitutions. For mutual-fund or ETF NPORT portfolios, use GetFundProfile.
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  • Pull the latest message templates (and their approval status) from the connected WhatsApp Business Account into DripRaven. Runs automatically on connect, but call this to refresh after creating or getting a template approved in WhatsApp Manager. Returns { synced }. Then use list_templates to see them.
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  • List all 71 available programming languages and their IDs for code execution. Common IDs: 71=Python 3.8, 63=JavaScript (Node.js), 62=Java, 54=C++ (GCC), 60=Go, 73=Rust, 51=C#, 46=Bash. Returns full list with compiler/interpreter versions (Judge0 CE)
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  • Read the owner-private current attention assessment, latest review and immutable history. Requires tickets:read. History uses limit 1–50 (default 20) and exclusive before_revision; stays readable after ticket closure/archive/deletion. Evidence-changed and follow-up-due are separate states. Dates become due at start of their recorded IANA calendar day. No writes or providers.
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  • Returns JSON with the GodPrompt content version, MCP server version, repository, bundled file sizes and purposes, and task-type/protocol catalog. Use it to verify which GodPrompt content/server version a client is connected to; use the content retrieval tools when you need the actual workflow text.
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  • List your active monitors: id, url, question, cadence, next scheduled run and latest answer. Stopped monitors are not listed; their history stays readable. Charges no credits. Requires authentication: sign in with your Contrie account (OAuth), or send an API key in the Authorization header.
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  • Find which documentation SETS exist whose NAME matches a substring (e.g. "python" → Python 3.x, "react" → React). Returns doc SETS, NOT their content — this does NOT look up a function/method/API name. To search inside a doc for an entry like "Array.map" or "fetch", use search_index (slug + query).
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  • Read-only access to rank tracker configs and their latest results. With `trackerId`, returns config + latest snapshot per keyword. Without it, lists all trackers in the project. Uses no credits — reads from HarborRank state, no DataForSEO call. To trigger a new check, use the dashboard.
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  • Fetch full AWS doc pages as markdown. `search_documentation` already returns verbatim page chunks, so don't re-read a URL whose chunk you already have to "confirm" or "round out" an answer -- the chunk is the real page text; treat it as authoritative. Reading the full page is justified ONLY when the chunks genuinely lack the content: - an enumeration or aggregation ("list all X", "how many X") needs the complete set and the chunks show only part of it; - no search result is on-topic after refining the query, and a known doc URL would have the answer. Otherwise, answer from the chunks. Use exact URLs from `search_documentation`; don't guess slugs. Input: `requests: [{url, max_length?, start_index?}]`. Batch 2-5. - `max_length` default 10000. - `start_index` default 0; use prior `end_index` to continue, TOC offset to jump. Allow-listed prefixes: docs.aws.amazon.com; aws.amazon.com (not /marketplace); repost.aws/knowledge-center; docs.amplify.aws; ui.docs.amplify.aws; github.com/{aws-cloudformation/aws-cloudformation-templates, aws-samples/{aws-cdk-examples, generative-ai-cdk-constructs-samples, serverless-patterns}, awsdocs/aws-cdk-guide, awslabs/aws-solutions-constructs, cdklabs/cdk-nag} (README on `main`); constructs.dev/packages/{@aws-cdk-containers, @aws-cdk, @cdk-cloudformation, aws-analytics-reference-architecture, aws-cdk-lib, cdk-amazon-chime-resources, cdk-aws-lambda-powertools-layer, cdk-ecr-deployment, cdk-lambda-powertools-python-layer, cdk-serverless-clamscan, cdk8s, cdk8s-plus-33}; strandsagents.com/latest/documentation/docs/; karpenter.sh/docs/; Amazon Braket: {amazon-braket-sdk-python, amazon-braket-schemas-python, amazon-braket-default-simulator-python, amazon-braket-pennylane-plugin-python, amazon-braket-algorithm-library, qiskit-braket-provider, autoqasm, qirtoqasm}.readthedocs.io and github.com/amazon-braket/* (blob/tree/raw). Output: SUCCESS -- markdown + `total_length, start_index, end_index, truncated, redirected_url?` (truncated includes TOC with char ranges). ERROR -- `error_code` in {not_found, invalid_url, throttled, downstream_error, validation_error}.
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  • Resolves a package/product name to a Context7-compatible library ID and returns matching libraries. You MUST call this function before 'query-docs' to obtain a valid Context7-compatible library ID UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query. Selection Process: 1. Analyze the query to understand what library/package the user is looking for 2. Return the most relevant match based on: - Name similarity to the query (exact matches prioritized) - Description relevance to the query's intent - Documentation coverage (prioritize libraries with higher Code Snippet counts) - Source reputation (consider libraries with High or Medium reputation more authoritative) - Benchmark Score: Quality indicator (100 is the highest score) Response Format: - Return the selected library ID in a clearly marked section - Provide a brief explanation for why this library was chosen - If multiple good matches exist, acknowledge this but proceed with the most relevant one - If no good matches exist, clearly state this and suggest query refinements For ambiguous queries, request clarification before proceeding with a best-guess match. IMPORTANT: Do not call this tool more than 3 times per question. If you cannot find what you need after 3 calls, use the best result you have.
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