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304,949 tools. Last updated 2026-07-22 06:25

"A system for storing and managing data" matching MCP tools:

  • Check whether a supplied AI BVF v1.0 portfolio document has the shape the portfolio tools require, before scoring, sequencing, storing or sharing it. CALL THIS when the document came from a file, another system or hand-built JSON and its structure is uncertain. It checks required fields, taxonomy values and 0–100 pillar ranges only; it does not judge the evidence or calculate a verdict. Pillars may be bare numbers or { value, confidence } objects, both are valid. Use assemble_portfolio when the user has a list of initiatives in conversation and needs the document built for them, score_portfolio when the document is already ready for verdicts, and sequence_portfolio only after its initiatives are scoreable. Returns valid=true or one error per failing JSON path. Pure deterministic validation — no network, auth, or side effects.
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  • Generate a document by merging a Carbone template with JSON data. Two modes: (1) pass templateId to use a previously uploaded template; (2) pass template (file path, URL, or base64) to upload and render in a single request without storing a template. Supports output format conversion, multilingual rendering, currency conversion, batch generation, and advanced PDF options (watermark, password, PDF/A). Async mode: pass webhookUrl to render asynchronously — Carbone will POST the renderId to your URL when the document is ready. Async mode is required when using batch generation (batchSplitBy).
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  • List all Gmail labels for the authenticated user. Returns both system labels (INBOX, SENT, TRASH, etc.) and user-created labels with message/thread counts. Use this to discover label IDs needed for add_labels, remove_labels, or search_email queries.
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  • Get the full chronological stage transition history for an application, including the initial assignment. Each entry has from_stage_id/name, to_stage_id/name, moved_at (Unix seconds), moved_by_type (system, user, automation), moved_by_user_id, and source (what caused the transition, e.g. 'apply:indeed', 'form_watcher', 'user'; null for historical records). Use this for funnel analysis, attribution reports, and time-in-stage reports instead of paginating through /candidates/{id}/activities when only stage data is needed.
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  • List and keyword-search federal accounts by agency identifier or title keyword. Returns account numbers, names, managing agencies, and budgetary resources. Use account_number from results as input to usaspending_get_federal_account for full budget detail. Use usaspending_list_agencies to look up agency_identifier codes (3-digit strings, e.g. "097" for DoD).
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  • Validate whether a US medical code exists, is current, and is billable in the active bundled release. Returns a discriminated status — valid_billable, valid_not_billable, valid_header, or terminated — with a `whyNot` explaining non-billable and terminated cases (e.g. "valid ICD-10-CM category but not billable — submit a more specific child code"). This is the detail a coder needs before submitting a claim. Auto-detects the system from the code's shape; pass an explicit `system` to disambiguate. A non-billable or terminated code is a successful result with a whyNot, not an error — only a code that exists in no bundled system raises unknown_code.
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Matching MCP Servers

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    MCP server adapter that exposes A-share stock data tools, prompts, and resources via FastMCP, enabling querying of stocks, K-lines, financials, sectors, and market hot spots through natural language.
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Matching MCP Connectors

  • Hosted governance layer for LLM agents. Seven mechanically-enforced rules plus audit-chain verification, preflight file protection, session handoff, and an emergency kill switch.

  • Build and manage your design system with AI: tokens, themes, components, icons, Figma and code.

  • Inspect one image generator you own (its model and full config) at head or a pinned version. ``generator_id`` accepts a UUID string. Platform ``system:...`` tier aliases and system generator UUIDs are not returned here (NotFound): system generators are run-only and their internal config never surfaces through list, get, deploy, or revoke. Defaults to the current version; pass ``version`` to pin. Returns the full deploy-time payload (``provider``, ``model``, ``generation_contract``, ``default_params``) plus ``config_hash`` (SHA-256 over the config) so callers can detect drift across versions. Requires ownership; a cross-user or revoked generator surfaces as NotFound.
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  • FDA drug recalls (Recall Enterprise System). Class I = could cause death/serious harm (material adverse event); Class II/III lower. Filter by recalling firm, drug, classification, and recency; returns classification, reason, status, dates, and the recalling firm's resolved ticker (null if private). CAVEAT: enforcement data updates only WEEKLY and FDA does not revise recall status after classification — can be stale/frozen; not for real-time alerting. Public-domain openFDA.
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  • Returns the list of supported measurement devices (CMMs, scanners), file formats, and system requirements for DezignWorks. Use to check hardware compatibility before recommending the product.
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  • Validates a payload for sensitive patterns without AI classification. Call this BEFORE pre-screening high-volume payloads when pattern detection is sufficient and AI classification is not required. Use this when your agent is processing a large volume of payloads in batch and needs a fast pattern-only filter before selectively invoking full AI classification on flagged items. Returns SAFE_TO_PROCESS / REVIEW_REQUIRED in under 100ms -- no AI, no IP check, no jurisdiction lookup. Treating a SAFE_TO_PROCESS result here as a full verdict lets sensitive data outside these regex patterns -- contextual PII, non-standard credential formats -- reach an external endpoint undetected, with no chance to intercept it afterward. Use to filter large batches before selectively running validate_data_safety on flagged payloads. Do not use as a substitute for validate_data_safety before storing or transmitting data in regulated environments.
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  • Run a single-statement SELECT against canvas dataframes registered by eia_query_route. Standard DuckDB SQL — joins, aggregates, window functions, CTEs all supported. Reference dataframes by the df_<id> handles returned by eia_query_route or listed by eia_dataframe_describe. Read-only: writes, DDL, DROP, COPY, PRAGMA, ATTACH, and external-file table functions are rejected. System catalogs (information_schema, pg_catalog, sqlite_master, duckdb_*) are denied. EIA data values are VARCHAR — use CAST(col AS DOUBLE) for arithmetic and aggregation. Optional register_as chains results as a new dataframe with a fresh TTL.
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  • USE THIS to extract structured {country, postcode, city, state} from a free-text UK or US address — when onboarding a user, running a KYC/fraud check, or storing an address — instead of splitting the string yourself. Returns a confidence flag.
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  • Check live API & system health — operational/degraded verdict, per-source freshness, MCP tool count — Public health status of all CryptoWhaleInsights data sources, MCP server, and OpenAPI spec. Returns overall verdict (operational/degraded/outage), per-source health with age in seconds, recent 24-hour error count, MCP tool count, and OpenAPI path count. Useful for AI agents and developers to verify the platform is live before making requests. Cached ~30s.
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  • Red-team an AI agent's SYSTEM PROMPT for injection-resilience (static, safe — nothing is sent anywhere). Pass the agent's `system_prompt` (and optionally its `tools`). Returns a 0-100 resilience score, a verdict (resilient / needs work / vulnerable), and concrete findings with fixes: secrets baked into the prompt, missing trust boundary between instructions and untrusted user/tool input, weakness to instruction-override / system-prompt extraction / role hijack, and hidden/obfuscated instructions — plus a wallet-signed attestation. For LIVE probing of an endpoint you own, use the proof-of-control-gated /redteam/verify + /redteam/live API. Free.
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  • LLM INFERENCE for keyless agents — POST {prompt, system?} and get Claude Haiku's answer: summarize, classify, extract, rewrite, translate, draft. No API key, no account, no subscription — the x402 payment IS the auth. One flat price per call. Caps: 8,000-char prompt, 2,000-char system, ~1,000-token response (stop_reason tells you if you hit it). Powered by Claude Haiku 4.5. ($0.01 per call, paid via x402)
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  • Call a raw Blockscout API endpoint for advanced or chain-specific data. Do not include query strings in ``endpoint_path``; pass all query parameters via ``query_params`` to avoid double-encoding. **SUPPORTS PAGINATION**: If response includes 'pagination' field, use the provided next_call to get additional pages (GET only). Supports POST requests with a JSON body for endpoints like JSON RPC. Returns: ToolResponse[Any]: Must return ToolResponse[Any] (not ToolResponse[BaseModel]) because specialized handlers can return lists or other types that don't inherit from BaseModel. The dispatcher system supports flexible data structures.
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  • Calculate the recommended inverter size for running AC loads from a DC battery system. Accounts for continuous power, startup surge power (motors typically surge 2-3x), and includes a 25% headroom for the continuous rating. Returns the recommended inverter wattage and the DC current draw at system voltage.
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  • List all 27 live data feeds powering the Octodamus oracle system. No API key required. Use for transparency or discovery — shows each source name, data type, and refresh interval. Useful when explaining signal provenance to end users or auditing data coverage.
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  • Find the planning portal URL for a UK postcode. Returns the council name, planning system type, and a direct URL to open in a browser. Does NOT return planning application data — scraping is blocked by council portals. Use the returned search_urls.direct_search link to browse applications manually.
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  • For CFOs managing multinational working capital, this tool analyzes real-time ECB and FRED foreign exchange rates to recommend optimal hedging strategies. Input base currency, target currencies, and working capital amounts to receive forward contract suggestions, natural hedge opportunities, and cost-benefit analysis of various hedging instruments (forwards, options, swaps). Outputs include hedge ratios, estimated cost savings, and risk reduction metrics.
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