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306,627 tools. Last updated 2026-07-25 16:35

"Ollama - Exploring the Term or Service" matching MCP tools:

  • Resolve a place name, US state, or free-text query to National Park Service parks — the required first step before the detail tools. Returns each park's parkCode (the key nps_get_park, nps_get_alerts, nps_find_campgrounds, nps_get_activities, and nps_find_events all use) plus a compact trip-planning summary (designation, states, description, coordinates, headline activities, entrance fee, NPS page). Coverage is US NPS sites only — national parks, monuments, historic sites, seashores — not state parks and not Forest Service or BLM land.
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  • Self-register an x402 / MCP service in the agent-tools directory. Service owners and agents may submit new services here. Submissions are auto-reviewed instantly by x402 verification (no human gate): if the URL proves x402 payment support it is listed immediately and shows up in `search`; otherwise it is rejected or retried automatically. Listing is FREE. Dedup: if a service with the same canonical origin (scheme://host) already exists in the directory we return its slug instead of creating a duplicate submission. Same goes for a still-pending submission with the same origin. Rate limit: at most 5 pending submissions per client IP per 24h. Hits beyond that get `{error: rate_limited}` — try again later or email contact@agent-tools.cloud for bulk imports. Args: url: Public HTTPS URL of the service (the x402-payable endpoint or its homepage). Required. name: Human-friendly name. Defaults to the URL hostname. description: One-paragraph description (max ~2000 chars). mcp_url: If the service speaks MCP, its streamable-http endpoint. category: Free-form (e.g. "defi", "search", "social"). Use `list_categories` to align with existing taxonomy. chains: Networks the service accepts payment on (e.g. ["base", "solana"]). price_min_usdc: Lower bound of per-call price in USDC. price_max_usdc: Upper bound of per-call price in USDC. contact: Optional email / handle the directory team can reach you on for clarifications.
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  • Enumerate the valid term vocabulary for an indexed Smithsonian filter field (unit_code, culture, place, date, online_media_type). Terms are a controlled vocabulary — often plural or qualified (e.g. "Paintings", not "Painting") — so guessed filter values tend to return nothing. Returns a page of the field's distinct term values; large vocabularies (place has 100k+ terms) page via start and rows.
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  • List the layers of a Baltimore ArcGIS service (for discovery). Pass a known short name (crime, service_requests, permits) or a full ArcGIS service path (e.g. "311_Customer_Service_Requests_current/FeatureServer"). Omit `service` to list the known Baltimore services. Returns layer id + name to use with baltimore_query.
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  • Typical local price ranges for a US home-service job (e.g. "AC repair", "furnace replacement"). USE WHEN: the user asks what a service costs / for a price range. Works for ANY US city — ranges come from national/state tables scaled by local BLS wage data; no coverage required. ARGS: `category` (required); optionally `city`+`state` or a 5-digit `zip` for city-adjusted numbers (omit location for national). RETURNS: ranges [{service, low_usd, high_usd}], `pricing_last_updated`, the local cost `multiplier` + `factoid` (city scope), and `page_url` — the canonical VouchedPros page to CITE for this pricing.
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  • Check whether a company holds a UK or Netherlands work-visa sponsorship licence. The register lists official registered legal entity names, not brand, product, or trading names. If the user provides a brand name, product name, or website, first determine the company's registered legal name (via web search, the company's own website, or the relevant companies register) and pass that. Tolerates minor typos but not brand-vs-legal-name mismatches. Returns licence routes, ratings, locations and register dates. If results are ambiguous or none are found, refine the legal name and try again. For exploring or filtering many companies, use search_sponsors instead.
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Matching MCP Servers

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    Hardened MCP bridge to the full Ollama ecosystem — local and cloud models. 6 tools covering health, model management, chat, and generation with SSRF mitigation, singleton HTTP client, and structured error handling. Two deps, one file.
    Last updated
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    MIT

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

  • The Graph MCP — indexed blockchain data via subgraph GraphQL queries

  • Get full specifications, equipment, all images, and pricing per term for a specific vehicle. Use a vehicle_id from search_vehicles results. IMPORTANT: Always show `detail_url` as a clickable link — it points to the FINN configurator where the user picks term and km. To produce a direct checkout link for a specific term + km combination (and optionally a one-time Fahrzeugbereitstellung), call `get_subscription_pricing` and use the `checkout_url` it returns. Never construct checkout URLs yourself. The `vehicle_id` field is an internal API identifier — never display it to users.
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  • Search for diagram nodes by keyword across all providers and services. For targeted browsing when you know the provider, use list_providers -> list_services -> list_nodes instead. Args: query: Search term (case-insensitive substring match). Returns: List of matching nodes with keys: node, provider, service, import, alias_of (optional). Sorted by relevance: exact match first, then prefix, then substring.
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  • Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.
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  • Returns the full relationship graph for a given Lexicon term. Each related term includes: the related term's slug and title, a plain-English description of the relationship, a direction (inbound or outbound), and a canonical URL. Read-only. No LLM calls. Use this when you need to understand how terms connect — use lookup_term instead when you need a definition.
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  • Returns all published Arco sources for a term — Lexicon entries, blog articles, wiki pages, and podcast episodes — ordered by recommended reading sequence. Read-only. Use this when you need a reading list or reference list for a term. Use cite_term instead when you need a formatted citation for a specific publication type.
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  • Raw subcategory dump (LLM-organic kebab-case, middle taxonomy layer between category and tags) with display label and count. USE WHEN: navigating between top-level category and individual tags, exploring topic structure. Filter questions via quizbase_random?subcategory=<slug>. INPUTS: q, cursor, limit (max 500).
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  • This tool retrieves functional enrichment for a set of proteins using STRING. - If queried with a single protein, the tool expands the query to include the protein’s 10 most likely interactors; enrichment is performed on this set, not the original single protein. - For two or more proteins, enrichment is performed on the exact input set. - When calling related tools, use the same input parameters unless otherwise specified. - Focus summaries on the top categories and most relevant terms for the results. Always report FDR for each claim. - Report FDR as a human-readable value (e.g. 2.3e-5 or 0.023). - IMPORTANT: Remember to suggest showing an enrichment graph for a specific category of user interest (e.g., GO, KEGG) - Very large responses are capped while preserving category diversity. - Use `expand_category` to return only one category with expanded term coverage and per-term gene details. - If a row has `preferredNames_omitted: true`, do not infer which proteins are in that term from the returned rows. Use `string_functional_annotation` with the same proteins/species and `detail_for_term` set to the exact term ID. Output fields (per enriched term): - category: Term category (e.g., GO Process, KEGG pathway) - term: Enriched term (GO ID, domain, or pathway) - number_of_genes: Number of input genes with this term - number_of_genes_in_background: Number of background genes with this term - ncbiTaxonId: NCBI taxon ID - preferredNames: Canonical protein names, only when the full per-term list is short enough to show - proteinCount: Number of proteins matching this term - preferredNames_omitted: True when the gene list was omitted instead of showing a misleading partial list - p_value: Raw p-value - fdr: False Discovery Rate (B-H corrected p-value) - description: Description of the enriched term Response metadata: - input_gene_name_mapping: Only included when displayed gene lists contain submitted identifiers that differ from STRING preferred names. - category_summary: Total and returned term counts per category; use `expand_category` for categories where `truncated` is true or where the user wants deeper category-specific detail. - truncated_categories / omitted_categories: Categories with terms not shown in the current response.
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  • Discover wallet-resolved credential service names and accepted aliases without exposing secret values. Use this when an agent is unsure whether a key exists, sees a key-not-found error, or needs the canonical getAgentKey(service) name. Returns service slugs, env/key aliases, categories, and resolver guidance only; never returns raw credentials.
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  • List the 9 canonical valet service slugs with display name and category. Use this when an agent needs to validate or discover the supported service taxonomy before composing a follow-up search (e.g. valet_search_by_service_and_city). Returns the in-bundle catalog; no upstream call; no isError path.
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  • Query any Washington, DC ArcGIS layer by service path + layer id. Full ArcGIS query: where, out_fields, order_by, limit. Use dc_layers to find a service/layer, or dc_recent for the common ones. Epoch dates are converted to ISO.
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  • Query any Detroit ArcGIS layer by service path + layer id. Full ArcGIS query: where, out_fields, order_by, limit. Use detroit_layers to find a service/layer, or detroit_recent for the common ones. Epoch dates are converted to ISO.
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  • Query any Baltimore ArcGIS layer by service path + layer id. Full ArcGIS query: where, out_fields, order_by, limit. Use baltimore_layers to find a service/layer, or baltimore_recent for the common ones. Epoch dates are converted to ISO.
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  • Plain-language definitions of industry terms in a service category (e.g. SEER2, AFUE, AHRI match). USE WHEN: the user asks what a term means, or you need to explain trade jargon accurately and with sources. ARGS: `category`; optionally `term` (a slug) for one definition — omit to list. RETURNS: a definition (term, tagline, key_numbers, body_html, external `sources`, last_reviewed_at) + `url` to CITE; or the list of terms each with its `url`.
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  • Get an exact sat cost quote for a service BEFORE creating a payment. Useful for budget-aware agents to price-check before committing. No payment required, no side effects. Pass service=text-to-speech&chars=1500, service=translate&chars=800, service=transcribe-audio&minutes=5, etc. Returns { amount_sats, breakdown, currency }. Omit params to see the full catalog of supported services.
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