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595,290 tools. Updated 2026-09-21 02:36

"A PubMed resource or system related to MCP (potentially an abbreviation or keyword)" matching MCP tools:

  • Purpose: ChatGPT-connector-standard document fetch by id from `search` results. Namespaces: `tool:{name}` returns the tool's full documentation and how to call it; `resource:{uri}` returns the resource's live data (core resources resolved server-side — also the bridge for clients without MCP resource support, e.g. Gemini); `signal:{market}:{symbol}` returns the symbol's latest combined research signal. Triggers: ChatGPT connectors / Deep Research call this after `search`. Clients without MCP resource support can call it directly with a known resource id, e.g. fetch("resource:market://global/summary"). When to call: whenever the full content behind a search result id is needed. Prerequisites: a valid id — from `search` results or a known namespace id. Next steps: for tool docs, call the named tool via tools/call; for signals, get_signal_detail / explain_decision for deeper evidence. Caveats: uncovered resource uris return description-only text (no fabricated data). `text` is a JSON document for resource/signal ids. Output: {id, title, text, url, metadata, disclaimer, is_investment_advice, data_classification} — flat envelope, OpenAI fixed shape. Args: id: document id — "tool:{name}", "resource:{uri}", or "signal:{market}:{symbol}" (market: crypto / kr_stock / us_stock) Disclaimer: Information only, not investment advice.
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  • Browse congressional committees and their legislation, reports, and nominations. Committee codes follow the pattern chamber-prefix (h/s/j) + abbreviation + 2-digit number — use 'list' (with optional 'filter' for name→code resolution) to discover codes, then 'get' or drill into 'bills', 'reports', or 'nominations' ('nominations' is Senate-only). 'get' and sub-resources only need committeeCode (chamber is inferred from the prefix); pass chamber explicitly to override. The 'bills' sub-resource defaults to 'recent' order (newest update-date first); pass order='oldest' for ascending update-date order. Upstream omits bill titles from the 'bills' sub-resource — rows carry only {congress, billType, billNumber, actionDate, relationshipType, url}; chain 'congressgov_bill_lookup get' per row to retrieve titles and policy area.
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  • Adds the given keywords to the website's keyword plan exactly as written (1 to 20 per call) with their monthly volume, difficulty and CPC from the search-volume provider; nothing is expanded or invented. Keywords already tracked are skipped. Clustering and search-intent classification run in the background afterwards, so cluster_label and intent can be empty for a minute. Limited to 5 calls per hour per website, shared with research_keywords. The credit is charged even when every keyword was already tracked. To discover related keyword ideas from a few seeds, use research_keywords instead. Costs 1 AI brain credit, charged after the work, not refunded on failure. Requires an active subscription or free trial. Pass confirm=true to acknowledge the AI brain credits charge; without it the tool only returns the cost and your balance. Pass website_id when the account has several websites (see get_account).
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  • Resolve a single Austrian legal citation to its canonical RIS document deterministically — no keyword search. Four routes are auto-detected from the citation shape (or forced with kind): a norm citation — section-first ("§ 6 DSG", "Art 10 B-VG"), abbreviation-first ("DSG §1", "DSGVO Art32", the shape ris_search_case_law returns in norms_cited), or a bare abbreviation like "ABGB" — resolves through consolidated federal law, or a Bundesland with a state hint, as in force today or on in_force_as_of; a gazette citation ("BGBl. I Nr. 165/1999", pre-2004 "BGBl. Nr. 194/1961", imperial "RGBl. Nr. 189/1902", or "LGBl. Nr. 61/2026" with a state hint) routes to the right federal era tier by year, or to a state Landesgesetzblatt — falling back to that Bundesland’s pre-e-Recht series when the citation predates its switch; a case number ("Ro 2026/03/0016", "G 287/2022", "14Os49/26a", "2025-0.934.677", "W256 …") is matched to its court — pass court to skip detection, and ambiguous formats probe up to two courts; a collection number ("VfSlg 19.632/2012", "VwSlg 18.000 A/2010") resolves through the VfGH/VwGH collection — a VwSlg cite given without its part letter can name one decision in each of the two VwGH series, and comes back as ambiguous with both cites named rather than resolved to one of them. Returns the single best-matching document in the same shape as the corresponding search tool, with alternatives_count when more than one matched. A citation that cannot be classified or resolved returns found: false with next-step guidance — it never throws for a miss; only an upstream RIS outage is an error. For keyword rather than citation lookup, use ris_search_legislation or ris_search_case_law.
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  • List the full eDiscovery Decoder MCP surface — every tool, prompt, and resource, plus the suggested demo flow and safety boundaries — with an example prompt for each. Call this first when you are unsure which tool fits the user's question, or when tool-search shows only a partial list.
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  • Convert a Control Plane resource manifest (YAML or JSON) into the equivalent Terraform (HCL). The manifest is first DRY-RUN VALIDATED against the API (no resource is created) — if it fails validation you get the error instead of HCL, so the returned Terraform always corresponds to a schema-valid resource. Pass `gvc` when the kind is GVC-scoped (workload, identity, volumeset). Set `generateImports` to also return ready-to-run `terraform import` commands. To convert an EXISTING resource instead of a manifest, use export_terraform.
    ConnectorOAuth

Matching MCP Servers

  • F
    license
    Not graded
    quality
    B
    maintenance
    MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.
    -
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.
    66 npm
    1
    MIT

Matching MCP Connectors

  • USPS state code OR.

  • Still losing time to small decisions? Spin or Flip brings randomization into Claude so you can offload mental load to chance instantly.

  • Difficulty + popularity for a specific keyword (or up to 25 in bulk). Use this when you already know which keywords you care about — costs 1 credit per keyword. Works without an API key for up to 5 keywords/day (free tier, per IP); an API key removes that cap. Use sonar_keyword_search instead when you want related keyword ideas alongside metrics. A keyword the API cannot compute right away comes back as `pending` (queued on the scrape fleet, not charged) — this tool already waits and re-checks briefly; if it is still pending, call again after `retry_after_seconds`.
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  • Analyze the structural shape of the winning AI answer across several related keywords/topics in one call: does each lead with a list, how long is the opening, how many sources it cites. Use this for content planning across a topic cluster, e.g. before writing several related pieces meant to get cited, instead of calling analyze_citation_structure once per topic. Read-only: no side effects, safe to retry. Costs 1 quota unit per keyword in the batch (free tier is 30 units/month shared across all the metered tools, so up to 30 keywords total that period if nothing else is used). A per-keyword provider error doesn't fail the whole batch - that keyword's entry just carries an "error" field instead. Returns: {"results" (list, one {"keyword", ...same shape as analyze_citation_structure, or "error"} per keyword, in the order given), "summary": {"topics_analyzed", "topics_requested", "list_led_count", "avg_sources_cited"}}. Args: keywords: topics/queries to analyze, e.g. ["how to reduce churn", "churn rate benchmarks", "reduce customer churn saas"]. Max 10.
    ConnectorAPI key
  • Search this workspace's published artifacts (skills, agents, workflows, and knowledge documents in SKILL.md format). Returns ranked metadata — name, description, type, contributor, timestamps, bundledCount, slug, authorCredit, and industries — but NOT the full body. To read an artifact's content, call `get_by_id` with the returned `artifactId` (or `slug`), or read it as a resource at `artifact://<artifactId>`. Use this whenever the user wants to find, discover, browse, or filter existing artifacts before reading or contributing. Modes: `hybrid` (default; combines lexical and semantic ranking via reciprocal rank fusion — best for most queries), `bm25` (exact-keyword or name lookups), `semantic` (concept matching when the user's terms differ from artifact text). Pass `industries: ['marketing', 'legal']` to narrow results to artifacts tagged with ANY of those industries (keyword-array overlap). If hybrid silently degrades because the embedding service is unavailable, the response's `warnings` array will contain `embedding_degraded:hybrid-fell-back-to-bm25` — surface this to the user if precision matters.
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  • Fetch recent Federal Register notices and rules for a specific agency. Read-only. No side effects. Idempotent. US federal only. agency: Agency name or abbreviation e.g. SEC, Food and Drug Administration, EPA. Required. keyword: Optional topic filter e.g. cryptocurrency. Optional, defaults to all notices. date_from: Earliest publication date in ISO 8601 format e.g. 2024-01-31. Optional, defaults to last 90 days. Returns document type, title, publication date, effective date, and CFR citations. Use this to monitor recent regulatory activity for an agency. Use regulatory_search_open_rulemakings instead when filtering by topic across all agencies. Verified source: Federal Register API. 4-hour cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="regulatory_fetch_federal_register_notices", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".
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  • Ranked related listings with per-item reasons. Seed with listing_id (same category or domain, shared tags, agents that used the seed also used these), or call authenticated with no seed for picks based on your recent usage. Not a keyword search: use search_catalog for that.
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  • Get the Designesy SKILL.md — the agent-skill-format export of the design-system contract, written as behavioral rules an AI coding agent can drop into .agents/skills/ or a system prompt. Use this when you want the contract in a form that steers how an agent *builds* UI (tokens, anti-patterns, behavioral rules, verification). When NOT to use: for the raw contract JSON, use designesy_contract; for scoring, use designesy_score. Read-only — no side effects. Returns markdown text (SKILL.md format) — drop into .agents/skills/ or paste into a system prompt. No parameters.
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  • Get care plan material for a specific NANDA-style nursing diagnosis: its definition, related factors (the "related to" clause), defining characteristics (the "as evidenced by" clause), SMART goals, interventions, and the conditions where it is a priority. Use when a nursing student asks about a diagnosis rather than a disease, for example "risk for infection", "acute pain", "impaired gas exchange", "ineffective coping" or "risk for falls", or asks how to write a three-part diagnosis or an AEB statement. Educational reference, not medical advice.
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  • Unshare Workspace Resource. Removes any existing role on a workspace resource from a user, group, or workspace (service account) API key. To target a user or service account, pass only the user email; the user must be in your workspace. To target a group, pass only the group id. To target a workspace (service account) API key, pass the api key id; the resource will be unshared from the service account associated with that key. You must have admin access to the resource to unshare it. You cannot remove permissions from the user who created the resource. Bulk support: accepts resource_ids, group_ids, workspace_api_key_ids for batched execution.
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  • Recover one reversible failed resource in a temporary anonymous demo simulation. Lower traffic to a serviceable level first, then provide resourceId or resourceName from simulation.create, simulation.step, or simulation.metrics. This deactivates applicable instance_down/database_overload failures for only the selected resource and returns recoveryProgress with parked, cooling_down, or healthy state plus cooldown counters. It cannot restore an instance_kill because that failure permanently removes the resource. The likely next tool is simulation.step; keep stepping and inspect the targeted resource until recoveryProgress.state is healthy. Pass simulationId from simulation.create when using a fresh MCP session; a preserved session may omit it. Authenticate with an API key to unlock all 61 tools and unlimited simulations.
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  • Find and evaluate public API endpoints and MCPs that match your query. Set `q` to a natural language query, keywords, an API name, or a question — results are matched by meaning and keyword; each result includes `id`, `resourceType` (`endpoint` or `mcp`), `name`, `description`, `method` (for an `endpoint`) or `transport` (for an `mcp`), `url`, and `evaluateGuide` — an evaluation of what the endpoint or MCP does, when to use it, and its limitations. Review `evaluateGuide` to pick the best fit, then pass each chosen result's `id` and `resourceType` (as `type`) to `integrate`. Paginate with `cursor` from `meta.nextCursor` (`limit` defaults to 10, max 25; pagination stops at 40 results total). No authentication required. Best practices for querying: - Use focused keyword queries that include the product or provider name along with the endpoint details, for example "PayPal create invoice". - Alternatively, use natural language queries such as "PayPal API to create an invoice". - Avoid jumbled queries that cram many unrelated keywords into a single query, for example "paypal invoice payment delivery payments ordering". - Avoid OR-separated queries such as "paypal invoice OR paypal create invoice OR paypal OR invoice creation". - If you need to explore multiple intents, try each as a separate call.
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  • Research keyword demand: search volume, difficulty, CPC, and intent, plus keyword ideas, Google Trends interest and related queries, and Google Ads keyword performance. Volume and difficulty come from a live keyword vendor: a workspace without vendor credits gets an explanatory error with the path forward, never fabricated numbers. Use for what to target and how much demand exists; for who ranks today use serp_competitors. Already scoped to the connected workspace and its site; call directly, no domain or site parameter is needed. Cost: metrics and suggestions bill AI credits (live vendor data at actual cost); trends, related_queries, compare and performance are FREE (Google Trends / your connected Google Ads).
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  • Google Ads (Keyword Planner) monthly search volume, CPC, competition, 12-month trend and keyword difficulty (0–100, DataForSEO Labs) for up to 10 keywords in one call. Use when the user asks how often something is searched or how hard it is to rank, or to size a keyword before writing a page. Omit location_code for worldwide volume (difficulty is then computed for the US), or pass a market code for one country. Costs credits; the same keyword set re-queried within a week is free.
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  • Pause a specific keyword running in an experiment. PURPOSE: Pause a keyword that is currently active in an experiment. This stops the keyword from being used in the experiment without removing it entirely. SCOPE - THIS TOOL ACTS ON ONE KEYWORD, NOT ON THE EXPERIMENT: It pauses a SINGLE keyword INSIDE an experiment. The experiment itself keeps running with its other keywords. To pause or restart a WHOLE experiment, use manage_experiment instead. WHEN TO USE: - Pause an underperforming keyword in an experiment - Temporarily stop a keyword from running in a specific experiment - Manage keyword performance within experiments PREREQUISITE: Use list_experiment_keywords first to find the keywordExternalId and wizExperimentId for the keyword you want to pause. Both come from that tool's results: keywordExternalId identifies the keyword on the ad channel, and wizExperimentId is the experiment's ID (the same ID search_experiments returns as experimentId). WORKFLOW: 1. Search for the keyword: list_experiment_keywords(keywordOrExperimentName="my keyword") 2. Note the keywordExternalId and wizExperimentId from the results 3. Pause it: pause_experiment_keyword(keywordExternalId=12345, wizExperimentId=678) 4. (Optional) Verify later: list_experiment_keywords(keywordOrExperimentName="my keyword") to check the status has changed PARAMETERS: - keywordExternalId: Required. The external ID of the keyword to pause (from list_experiment_keywords). - wizExperimentId: Required. The experiment ID where the keyword is running (from list_experiment_keywords). WARNING: This action changes the state of the keyword in the experiment. The keyword will stop running in the specified experiment. WARNING: ASYNC FLOW: Pausing a keyword is an asynchronous operation. The status change may not be immediately reflected. Use list_experiment_keywords after some time to verify the keyword status has been updated.
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    Destructive
    API key
  • Get VoxOdds research desk theses: markets our analysis flags as potentially mispriced, each with a thesis, entry logic, invalidation criteria, and live price tracking. Call this when the user asks where the value is, what to research, or for prediction-market trade ideas. Research framing only - not financial advice.
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  • USE THIS TOOL WHEN you have a bill_id (from bills_search_bills) and want the full detail. Returns sponsors, current stage, long title, summary, and Royal Assent date if enacted. Summary text is capped per max_summary_chars — check summary_truncated in the response. AFTER calling, use parliament_search_hansard(query=bill_short_title) to find the bill's parliamentary debates, or bills_search_bills with a related keyword for adjacent bills.
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