"A Python library for visualizing neural networks" matching MCP tools:

• portal_list_networksA

  SQDA

  Find the right network or chain name to use across EVM, Solana, Bitcoin, Substrate, and Hyperliquid. COMMON USER ASKS: - Find Base-like networks - Show Solana mainnets - Show Substrate mainnets FIRST CHOICE FOR: - finding the correct network before any other query WHEN TO USE: - You are not sure which network name, chain name, or alias to use. - You want to filter networks by VM family, network type, or real-time availability. DON'T USE: - You already know the exact network and want live data from that network. EXAMPLES: - Find Base-like networks: {"query":"base","limit":10} - Show Solana mainnets: {"vm":"solana","network_type":"mainnet"} - Show Substrate mainnets: {"vm":"substrate","network_type":"mainnet"}

  ConnectorNo auth

• citybikes_networks_nearA

  CitybikesA

  Find bike-share networks near a lat/lon: "bike share near me", "find bike rental network by location", "citybikes nearby coordinates". Returns the closest networks sorted by distance with their id, name, city, country, and distance_km. If none fall within radius_km, returns count:0 plus a note naming the single nearest network beyond the radius. To then get live stations and free bikes for a returned network, call get_network with its id. Example: Göttingen (latitude 51.53, longitude 9.93) → nextbike-kassel ~39.5km away.

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• list_security_guidanceA

  RoutebaseA

  List the static security guidance library — one entry per OWASP API-security issue with its remediation text, code examples and references. Pass guidanceId (the guidanceId of a finding) for a single entry. The library is global, not project-specific. Use this for the general library; for advice on one finding use get_finding_remediation.

  ConnectorAPI key

• test_python_package_runtimeA

  Python Package Runtime TestA

  Test a specific Python package/version on a supported Python/Linux target runtime using empirical execution. Returns scoped install evidence, usable-import evidence when requested, and a scoped result/receipt. Supported boundary: public PyPI on Linux x86_64 / CPython 3.13. This is not generic package advice, security verification, arbitrary Python execution, broad compatibility testing, feature behavior testing, or application integration testing.

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• get_peering_intelA

  DC HubA

  Internet-exchange (IX/IXP) and peering density for a site, from PeeringDB. Pass lat+lon for the PEERING PROFILE around that point: facilities_nearby, a 0-100 score with its level, total_ix_presence, total_networks, and top_facilities each with ix_count and net_count — e.g. Ashburn comes back with 61 IX presences and 903 networks across the nearby sites, led by Equinix DC1-DC15 at 516 networks. Omit coordinates for the IXP directory (name, name_long, city, country, net_count, fac_count, media, protocols). This is the layer that answers "can I actually reach networks cheaply from here", which fiber route geometry does not: a site can sit on dense fiber and still be far from any exchange. The score is a DERIVED convenience over PeeringDB counts, not a DC Hub-sourced grade — cite the underlying counts (facilities, IX presence, networks) rather than the score when it is load-bearing. Records are PeeringDB's, refreshed on read. Answers "how good is peering at this Ashburn site" and "which internet exchanges serve the Dallas market". Try: get_peering_intel lat=39.04 lon=-77.48 — or get_peering_intel (no args) for the IXP directory.

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• sea_routeA

  Datalastic Vessel Tracking & Maritime IntelligenceA

  Calculate a schematic sea route between two points and return it as GeoJSON (a LineString of waypoints) with the total distance in kilometres and nautical miles. Specify the origin and destination each as either coordinates (lat+lon), a port UUID, or a port UN/LOCODE. ⚠️ This is a SCHEMATIC sea route, not a navigable one. It does not account for actual navigation, hazards, traffic separation, drafts or local rules — do NOT use it for real-world sailing. Use it for estimating distance and travel time, visualizing the approximate path/shape, and similar analysis. Part of the Maritime Reports add-on.

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• telemost_ads_networksA

  telemost-mcp-serverA

  Telegram advertising data: available ad networks and their minimum deposits, compare where to run campaigns. Returns a JSON envelope {ok, data, meta}.

  ConnectorNo auth

• safe4_priceA

  safe4A

  Price and accepted payment networks for one Safe4 decision. Free to call. Returns the same x402 terms the HTTP endpoint advertises, so an agent can see the cost before committing to a paid call.

  ConnectorNo auth

• list_networksA

  directoryA

  List the affiliate networks (the keys search_affiliate_programs accepts) with a count of programs on each.

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• run_pythonA

  Oblique MarketsB

  Run a short Python program in an isolated sandbox and get back exit code, stdout, stderr, duration and up to 3 artifact files from ./out/. Python 3.12 + numpy/pandas/requests, no network, 512 MB, 30 s max, 32 KB code, 4 input files of 256 KB. Free compile-only syntax check first at POST /api/v1/run-python/validate. $0.05/call (one run) via x402. Free syntax check: POST /api/v1/run-python/validate. Free worked example: GET /api/v1/run-python/example.

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• payment_currenciesA

  Bot Rooms — Agent ConversationsA

  List supported payment currencies and networks. Does not buy a pass or authorize spending.

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• list_pow_coinsA

  BackPow PoW OracleA

  Paginated index of the Proof of Work networks BackPow tracks, with algorithm, network rate, collector status and canonical page URL. Optionally filtered by algorithm or restricted to coins currently mining above cost. Returns the distinct algorithm list so valid filter values are discoverable. Use to find which networks exist for an algorithm, to browse the catalogue, or to resolve an ambiguous coin reference. Results are paginated: request a larger limit or a later offset rather than expecting the full catalogue in one response.

  ConnectorNo auth

• gfw.vessel.detailsA

  apibaseB

  Retrieve complete identity and activity profile for a specific vessel using its Global Fishing Watch vessel UUID. Returns self-reported AIS data (name, flag, MMSI, IMO, call sign), inferred gear and ship types from neural-network analysis of movement patterns, official registry records (where available), and AIS coverage statistics (total messages, positions, active date range). Vessel UUIDs are obtained from gfw.vessel.search.

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• get_python_reportA

  Saylor Innovations: pay-per-call dataA

  Inspect a Python package’s latest release, Python compatibility, declared dependencies, license metadata and PyPI-reported advisories. No code execution. Costs $0.003. Returns payment instructions for the Saylor endpoint; no provider account required.

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• list_networksA

  CitybikesA

  Browse all bike-sharing networks worldwide. Returns network name, ID, city, country, and coordinates for each network.

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• get_isp_categoriesA

  Voidly Hosted MCPC

  Per-ISP selective targeting: which CONTENT CATEGORIES a network (ASN) blocks vs leaves alone, separating targeted political censorship from blanket filtering. Pass country=XX&asn=NNNN for one network's per-category block rates and a blanket/selective/permissive/mixed label; pass country=XX for the country's networks ranked. Read current percentages from the response. HONEST: block_rate is over MEASURED domains per category (a category absent is UNMEASURED, not 'allowed'); ASN coverage is dominated by CensoredPlanet DNS and is sparse for many networks, so most read 'blanket'.

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• free_trial_statusA

  Agenda Intelligence MDA

  Check the requesting network's remaining free attempts for m2m_escrow_arbitration_ruling. No evaluation, reservation or payment. Shared networks share the campaign allowance.

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• free_trial_statusA

  Output VerificationA

  Check the requesting network's remaining free attempts for agent_output_verification. No evaluation, reservation or payment. Shared networks share the campaign allowance.

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• get_map_dataA

  IA-Asso.fr — French Associations RegistryA

  Get GeoJSON map data for visualizing associations by French department. Returns GeoJSON FeatureCollection with department center coordinates and association counts. Useful for creating interactive maps or geographic visualizations.

  ConnectorNo auth

• competitor_gapA

  FUTIAA

  Topics a real competitor ranks for and you do not. Competitors are chosen by how much of their keyword set overlaps with yours, not by raw overlap count: raw count returns social networks that rank for everything. Gap keywords are filtered against your existing vocabulary.

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• move_library_itemA

  Manawa TerminalA

  Move a library document into a different folder (or to root). Args: item_id: The item UUID to move folder_id: Destination folder UUID (omit / null for library root)

  ConnectorNo auth