Ipdata Mcp

io.github.mrfentmen由 GitHub 帳號 mrfentmen 發布v1.0.0更新於 Nov 6, 2026

ipdata.co IP intelligence: geolocation, ASN, company, threat and timezone lookups.

概覽

AI 產生的概覽

封裝 ipdata.co 的 IP 情報介面,讓助理查詢 IP 的地理位置、ASN、公司、電信業者、時區、貨幣以及威脅與 VPN 訊號。

可以做什麼
  • 查詢單一 IP 的完整檔案,省略位址時查詢呼叫端自身的 IP,並可依欄位名稱裁剪結果
  • 取得單一 IP 的分項資訊:位置、時區、貨幣、語言、行動電信業者、ASN、公司、威脅標記與 VPN 偵測
  • 取得單一 IP 的精簡詐欺研判摘要,涵蓋代理、VPN、Tor、雲端服務商、歸屬方與電信業者
  • 一次查詢 1 至 50 個 IP,可回傳完整檔案,也可只回傳 IP 與國別代碼的輕量列
適用情境
適合需要補充或研判 IP 位址的情境:定位使用者或日誌來源、依國家批次分類流量、判斷位址是否為代理、VPN、Tor 出口或雲端主機,以及辨識 IP 背後的網路與組織。
執行需求
以本機 stdio 程序執行,透過 npm 套件 ipdata-mcp 安裝,需要 Node.js 執行環境。需連線至 ipdata.co 服務,因此要有網路連線;VPN 偵測區塊取決於帳戶等級。清單中未宣告任何環境變數或請求標頭。
安裝前請注意
查詢會送往第三方服務 ipdata.co,所查 IP 位址會離開本機。VPN 偵測區塊依帳戶等級而定,可能無法使用。批次呼叫每次最多 50 個位址,可能消耗 API 配額。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Ipdata Mcp,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

awesome-servers

One repo for three families of servers, each subtree keeping its own layout and tooling so it can still be built, run and published on its own.

SubtreeWhat it holdsRun one
mcp/338 TypeScript MCP servers, plus 1107 published packages in published/cd mcp/servers/<slug> && npm install && npm run build
acp/79 Python ACP agentspython3 acp/agents/<name>/agent.py
a2a/37 Python A2A servers plus the shared a2a_kitpython3 a2a/servers/<name>/server.py
watchd/a threshold watcher that runs the feeds between editor sessionspython3 watchd/watchd.py --config conditions.json --loop
site/the published site: registry with search, the public-feed atlas, watchd planshttps://mrfentmen.github.io/awesome-servers/

Most servers read public data with no key of their own; the ones wrapping a vendor API take that vendor's key. Nothing in this repo asks a caller to pay. On 2026-10-17 the licence machinery was removed for good: the per-tool src/license.ts gates are gone from the MCP servers, and the A2A and ACP trees no longer carry the hosted licence-gateway half — the skills that used it now answer with an explicit not-implemented stub. Nothing here asks a caller to pay, and nothing they run is refused with a buy link.

Nothing here is generated: each subtree's README says what its servers read, and every server has its own unit tests (mcp/servers/<slug>/tests, acp/agents/<name>/tests, a2a/servers/<name>/tests) plus a live smoke check (tools/smoke*.py, a2a/tools/smoke_all.py).

Novel and original

Nearly all of this is first-of-its-kind work, not a port of an existing catalogue. Before each server or agent was built, it was checked against the official tool lists (the MCP registries, agentclientprotocol.com's agent list and registry) and a live GitHub search for the same domain, and the research logs record what was found and why it still counted as missing — see mcp/MISSING.md, acp/MISSING.md and a2a/docs/. Highlights:

  • The MCP side holds TypeScript servers, one npm package each, and 1039 published packages under published/; mcp/MISSING.md documents the check that preceded every build: what was searched, what was skipped and why the domain still counted as uncovered.
  • On the ACP side there were zero domain agents before this repo — every agent on the official list was a coding agent. These 79 Python agents are the first non-coding ACP agents, and several use protocol surfaces no other agent uses in production (session/request_permission for dataset reads, fs/write_text_file for a briefing file, session/cancel for a conditional watch, image content blocks, a live SSE push feed), each proved-unused in the wild by search at build time. Two more firsts carry their own proof: the orchestrator is an agent whose feeds are agents — it spawns sibling repo agents as real ACP child processes and merges their answers — and the nyc pack is the first multi-agency city surface.
  • acp/MISSING.md doubles as the public-feed atlas: every keyless feed probed live, with its date, what it answered and whether it still works. The published site renders that table at https://mrfentmen.github.io/awesome-servers/atlas.html.
  • The pattern across all three subtrees is the same thesis: wrap one real, keyless public dataset, answer honestly about what the feed did and did not say, and keep the whole thing small, tested and self-contained.

Publishing

  • MCP servers publish from mcp/servers/<slug> (its own package.json, version and README).
  • ACP and A2A servers are repo-run today (Python, no packaging step).

Built on top of it

Creatures that use this corpus as their world live in the sibling repo mrfentmen/superagents (public, with its own claim-check in MISSING.md):

  • polymath — routes your question to the most fitting agents of this repo, spawns each as a real ACP child process, and merges the answers into one brief with per-row citations; a sibling that fails appears as a named row, never silence. Its registry is a data file and its ranking is deterministic word-scoring, not a model opinion.
  • sentry — one plain sentence ("watch air quality in Denver over 150") becomes a tracked watch: a permission-asked protocol write produces the conditions file this repo's watchd/ obeys unchanged, plus the activation lines. Checks it can author today: air thresholds, quake magnitudes within a radius, river gauges at flood stage.
  • fedora hat guy — the persona agent in his own repo mrfentmen/fedora-hat: says "never miss" and means it — one sentence installs the full crown of watches (air + quakes, gauge-named flood) in one permissioned write, and your other questions are forwarded to the siblings above with every row cited.
  • instink — the instinct agent in his own repo mrfentmen/instink: compiles a skill into a reflex — a matcher plus the answer it fires, with hit/miss counters and honest promotion/demotion. The skill doc stays one step away, never deleted.
  • contextink — the context agent in his own repo mrfentmen/contextink: you say "do this" and it acquires the context from the repo, git, and recent files so you don't have to explain it; asks only the minimal high-information-gain questions when acquisition fails.
  • rewind — the replay agent in his own repo mrfentmen/rewind: replays agent runs and mutates one variable to see what would have happened. Replay + mutate + diff for agent traces.
  • scopink — the scope agent in his own repo mrfentmen/scopink: checks if an action is within the scope of what was asked. Detects scope creep in agent plans.
  • curious — the curiosity agent in his own repo mrfentmen/curious: proactively seeks information it doesn't have. Scans for knowledge gaps, seeks answers, learns facts.
  • bored — the idle agent in his own repo mrfentmen/bored: uses idle time productively. Consolidates memories, explores areas, prepares for tasks.

Point the polymath at a checkout of this repo with AWESOME_SERVERS_HOME=$PWD/awesome-servers and it federates across the two repos live.

Published snapshot (published/)

published/ holds one directory per npm package, byte-for-byte what the registry serves: 1039 packages, every version matching npm latest.

  • published/INDEX.md is generated from the tree by python3 scripts/index-published.py.
  • scripts/sync-published-snapshot.py re-downloads every package from npm; run it only when every local fix has been published, because it overwrites dist/ from the tarballs.
  • One package carries a licence gate (MCP_LICENSE_KEY): @mrfentmen/vg-resource-mcp. Another 495 still ship tools that answer Not yet implemented; published/INDEX.md lists every one of them.
  • Every package links to this repo (mrfentmen/awesome-servers) as its source.

servers/ holds the older per-server source that predates the snapshot. Where the two disagree, published/ is what users actually install.

來源:README.md,提交 ee04f93

工具

14

ipdata_lookup

Full ipdata profile for one IP address: geolocation, timezone, currency, languages, carrier, ASN, company, threat flags and VPN signal. Omit `ip` to look up the caller's own IP. Pass `fields` to keep only named top-level fields.

輸入參數ipfields

ipdata_self

Convenience full profile for the caller's own IP - answers 'which network am I on right now'.

無需輸入參數。

ipdata_threat_summary

Compact fraud-triage view of one IP: is it a proxy/VPN/Tor/cloud provider, who owns it (ASN + company), which mobile carrier, and a one-line location. Cheaper to read than the full profile.

輸入參數ip

ipdata_bulk

Look up 1-50 IP addresses in one call. Returns an array of full profiles, one per IP.

輸入參數ips必填

ipdata_bulk_country

Bulk lookup reduced to light rows (ip + country_code only) - for classifying many IPs by country without burning context on full profiles.

輸入參數ips必填

ipdata_location

Where the IP is: city, region, country, continent, lat/long, postal code and timezone name.

輸入參數ip

ipdata_timezone

The IP's timezone block: name, UTC offset, current time and date.

輸入參數ip

ipdata_currency

The IP's country currency block: code, name, symbol, plural.

輸入參數ip

ipdata_languages

The languages spoken in the IP's country.

輸入參數ip

ipdata_carrier

The mobile carrier block for the IP (name, MCC, MNC) when it is on a mobile network.

輸入參數ip

ipdata_asn

The ASN block: autonomous system number, type, domain, name and route.

輸入參數ip

ipdata_company

The company block: the organisation registered for the IP, its domain and type.

輸入參數ip

ipdata_threat

The threat-intelligence block: tor, proxy, anonymous, known attacker/abuser, cloud provider, bogon, mobile.

輸入參數ip

ipdata_vpn

The VPN detection block for the IP (availability depends on the account tier).

輸入參數ip

版本歷史

1
  1. v1.0.0最新Oct 29, 2026

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