About TweetFeed
TweetFeed is an MCP server that lets security teams and AI agents query public indicators of compromise shared on X/Twitter. It combines filtered lookup tools with raw feed resources, campaign context, and ready-made triage prompts.
Key features
- 01Query IOCs by time, type, user, or tag
- 02Check URLs, IPs, and hashes
- 03Enrich indicators with campaign context
- 04Explore trends, tags, and feed health
- 05Read feed documents and use triage prompts
Use cases
- 01Check whether an indicator appears in the feed
- 02Review recent threats or campaign membership
- 03Prepare an IOC triage or daily brief
MCP support
Exposes IOC search, lookup, enrichment, campaign, trend, and status tools to MCP clients, plus feed resources and prompts. The endpoint requires no authentication.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.tweetfeed.live/claude mcp add --transport http 0xdaniellopez-tweetfeed https://mcp.tweetfeed.live/{"mcpServers":{"0xdaniellopez-tweetfeed":{"type":"http","url":"https://mcp.tweetfeed.live/"}}}Open in Cursor{"servers":{"0xdaniellopez-tweetfeed":{"type":"http","url":"https://mcp.tweetfeed.live/"}}}Open in VS Code{"mcpServers":{"0xdaniellopez-tweetfeed":{"type":"http","url":"https://mcp.tweetfeed.live/"}}}{"mcpServers":{"0xdaniellopez-tweetfeed":{"serverUrl":"https://mcp.tweetfeed.live/"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
14| Parameter | Type | Required | Description |
|---|---|---|---|
| tag | string | No | Optional: filter by tag, case-insensitive substring match. Examples: 'phishing', 'cobaltstrike', 'ransomware', 'APT', 'Lockbit'. 94 tags exist - see https://tweetfeed.live/ for the live taxonomy. |
| time | enum | Yes | Time window. 'today' = since UTC midnight, 'week' = last 7 days, 'month' = last 30 days.today | week | month |
| type | enum | No | Optional: filter by IOC type.url | domain | ip | sha256 | md5 |
| user | string | No | Optional: filter by Twitter/X handle WITHOUT the @ prefix (e.g. 'malwrhunterteam', 'JCyberSec_'). |
| limit | number | No | Optional: max rows to return (1-1000). Default 100. |
Details
From the project READMEtweetfeed-mcp
Model Context Protocol (MCP) server for tweetfeed.live.
Exposes the public IOC feed (URLs, domains, IPs, SHA256/MD5 hashes shared by the infosec community on Twitter/X) as MCP tools so AI agents can query threat intel programmatically.
- Endpoint:
https://mcp.tweetfeed.live/(HTTP JSON-RPC 2.0, POST) - Protocol version: 2025-11-25 (negotiated; older clients fall back automatically)
- Auth: none (all IOC data is CC0)
- License (data): CC0-1.0 · License (code): MIT
Tools
| Name | Purpose |
|---|---|
query_iocs | Query IOCs by time window (today/week/month) with optional user, tag, and type filters. |
check_url | Check whether a specific URL appears in the feed. |
check_ip | Check whether an IPv4/IPv6 address appears in the feed. |
check_hash | Check whether an MD5 or SHA-256 hash appears in the feed (type auto-detected). |
list_recent_iocs | List IOCs added since a given date, with optional type/tag filters. |
get_tag_info | Window aggregates plus recent IOCs for a tag (leading # optional). |
get_trending | Top tags and IOC-type distribution for a window (today/week/month/year). |
enrich_ioc | Exact lookup of an IOC (auto-detected type: url/domain/ip/md5/sha256) over the past 365 days, with AI/external-corroboration/net/domain-registration (reg, including the domain's age in days at first report and a newly_registered flag) context and campaign membership when available, plus an archive of history older than 365 days when it exists (can accompany a live match); falls back to a 30-day substring scan on a miss. |
get_campaigns | AI-clustered campaign groupings from the last 30 days, with optional brand and min-confidence filters. |
get_campaign_iocs | Full IOC membership (header + rows) of one campaign by id, with optional type filter and limit. |
get_trends | 31-day IOC trend analytics: daily volume by type, top moving tags week-over-week, most-abused TLDs, new vs recurring ratio, producer concentration. |
get_feed_status | Live pipeline health: freshness verdict per artifact (stale, age_seconds) and source coverage (which hashtag/account feeds delivered rows in the last 24h, which account feeds are dead). |
search | ChatGPT connector interface: find document ids (ioc:<value>, tag:<tag>, campaign:<tfc-id>) for an IOC value, tag, campaign id or free text. |
fetch | ChatGPT connector interface: full document ({id, title, text, url, metadata}) for an id returned by search. |
Resources
Besides the 14 tools, the server exposes the feed as MCP resources (resources/list, resources/templates/list, resources/read): 7 static documents plus 2 URI templates, each returning the raw JSON of the matching api.tweetfeed.live document. Tools are the filtered, size-bounded path; resources are for clients that want a whole document (a status panel, a whole-window blocklist sync).
| URI | Content |
|---|---|
tweetfeed://status | Pipeline health plus per-source coverage (mirrors /v1/status, ~13 KB, refreshed every 15 min). |
tweetfeed://counts | Aggregate IOC counts per window/type/tag (mirrors /v1/counts, ~6 KB). |
tweetfeed://trends | 31-day trend analytics (mirrors /v1/trends, ~4 KB, daily). |
tweetfeed://campaigns | AI-clustered campaigns of the trailing 30 days (mirrors /v1/campaigns, ~300 KB, daily). |
tweetfeed://iocs/today | Every IOC row shared today (mirrors /v1/today, 50-250 KB by the end of the UTC day). |
tweetfeed://iocs/week | Last 7 days (mirrors /v1/week, 1-1.5 MB). |
tweetfeed://iocs/month | Last 30 days (mirrors /v1/month, 2-3 MB, API caps at 10,000 rows). |
tweetfeed://iocs/{time}/{type} | Template - time: today|week|month, type: url|domain|ip|sha256|md5 (mirrors /v1/{time}/{type}). |
tweetfeed://campaigns/{id} | Template - id = tfc- plus 12 hex chars (mirrors /v1/campaigns/{id}). |
An unknown URI or an expired campaign id returns JSON-RPC error -32002 "Resource not found".
Prompts
Besides the 14 tools and the resources above, the server also speaks MCP prompts (prompts/list, prompts/get, params name and arguments as strings): ready-made recipes that chain several tool calls into one instruction sequence for the model to run and report back on. Where tools are chosen by the model and resources are raw documents, prompts are recipes the user invokes directly - they show up as slash commands in Claude Desktop and Claude Code.
| Name | Arguments | Purpose |
|---|---|---|
triage_ioc | ioc (required), context (optional) | Step-by-step triage of one IOC (URL/domain/IP/MD5/SHA-256): enrichment, campaign membership, verdict and recommended action. |
daily_brief | window (optional, today default | week) | Short brief: feed health, volume and mix, moving tags, active high-confidence campaigns, abused TLDs. |
campaign_summary | campaign_id (required, tfc- plus 12 hex) | Hand-off summary of one campaign: context, targeting, ATT&CK techniques, IOC breakdown, infrastructure, block-ready lists, CSV/STIX links. |
Use with Claude Desktop / Claude.ai / other MCP clients
{
"mcpServers": {
"tweetfeed": {
"url": "https://mcp.tweetfeed.live/"
}
}
}
Or from the Claude Code CLI:
claude mcp add tweetfeed https://mcp.tweetfeed.live/
Use as a ChatGPT connector
ChatGPT (Settings > Connectors > Create, or a Deep research custom connector)
accepts https://mcp.tweetfeed.live/ with no authentication. The server
exposes the required search and fetch tools alongside the others, and
every result carries a tweetfeed.live URL so ChatGPT can cite it.
Quick test
curl -sX POST https://mcp.tweetfeed.live/ \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","method":"tools/list","id":1}' | jq .
# Example tool call:
curl -sX POST https://mcp.tweetfeed.live/ \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","method":"tools/call","id":2,
"params":{"name":"query_iocs",
"arguments":{"time":"today","tag":"phishing","type":"url","limit":5}}}' | jq .
# Example resource read:
curl -sX POST https://mcp.tweetfeed.live/ \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","method":"resources/read","id":3,
"params":{"uri":"tweetfeed://status"}}' | jq .
# Example prompt call:
curl -sX POST https://mcp.tweetfeed.live/ \
-H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","method":"prompts/get","id":4,
"params":{"name":"triage_ioc","arguments":{"ioc":"example.com"}}}' | jq .
Develop
npm install
npm run dev # wrangler dev on http://localhost:8787
MCP_URL=http://localhost:8787 npm test
Deploy
npm run deploy # wrangler deploy (routes mcp.tweetfeed.live/*)
MCP_URL=https://mcp.tweetfeed.live npm test
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.