opentwitter-mcp is an MCP server that gives AI assistants access to Twitter/X data such as user profiles, tweets, searches, follower events, and quoted or retweeted posts. It is for users who want an assistant to investigate accounts, topics, engagement, and changes in followers. The catalogue skill helps assistants use this server.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add 6551Team/opentwitter-mcp --skill opentwittergit clone --depth 1 https://github.com/6551Team/opentwitter-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/6551team/opentwitter-mcp/opentwitter)<a href="https://agentmods.dev/skills/6551team/opentwitter-mcp/opentwitter"><img src="https://agentmods.dev/badge/skills/6551team/opentwitter-mcp/opentwitter/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/6551team/opentwitter-mcp/opentwitter"><img src="https://agentmods.dev/badge/skills/6551team/opentwitter-mcp/opentwitter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 12 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 12 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 93 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 151 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 174 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 190 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 205 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 222 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 242 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 258 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 274 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 312 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 520 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00035 | $0.04523 |
| Opus 5 | $0.00017 | $0.02261 |
| Sonnet 5 | $0.00007 | $0.00905 |
| Haiku 4.5 | $0.00003 | $0.00452 |
Grade A, and why
opentwitter scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- curl How it starts
The opening of the file, as written. The whole thing — 548 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Twitter/X Data Skill
Query Twitter/X data from the 6551 platform REST API. All endpoints require a Bearer token via $OPENNEWS_TOKEN.
Get your token: http://app.newsliquid.com/mcp
Base URL: https://ai.6551.io
Authentication
All requests require the header:
Authorization: Bearer $OPENNEWS_TOKEN
Twitter Operations
1. Get Twitter User Info
Get user profile by username.
curl -s -X POST "https://ai.6551.io/open/twitter_user_info" \
-H "Authorization: Bearer $OPENNEWS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"username": "elonmusk"}'
2. Get Twitter User by ID
Get user profile by numeric ID.
curl -s -X POST "https://ai.6551.io/open/twitter_user_by_id" \
-H "Authorization: Bearer $OPENNEWS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"userId": "44196397"}'
3. Get User Tweets
Get recent tweets from a user.
curl -s -X POST "https://ai.6551.io/open/twitter_user_tweets" \
-H "Authorization: Bearer $OPENNEWS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"username": "elonmusk", "maxResults": 20, "product": "Latest"}'
| Parameter | Type | Default | Description |
|---|---|---|---|
username |
string | required | Twitter username (without @) |
maxResults |
integer | 20 | Max tweets (1-100) |
product |
string | "Latest" | "Latest" or "Top" |
includeReplies |
boolean | false | Include reply tweets |
includeRetweets |
boolean | false | Include retweets |
4. Search Twitter
Search tweets with various filters.
Search with query:
curl -s -X POST "https://ai.6551.io/open/twitter_search" \
-H "Authorization: Bearer $OPENNEWS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"query": "from:VitalikButerin bitcoin -filter:replies", "maxResults": 20, "product": "Top"}'
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago Changed · +1 lines 6184b24984a8
- 9d ago Changed · +19 lines 705aec50293b
- 12d ago First seen · 528 lines · 35 tokens per session scan A 12441c96e9b7
opentwitter is a skill published in the GitHub repository 6551Team/opentwitter-mcp (1,450 stars, last pushed 4d ago), licensed MIT. It adds 35 tokens to every session and 4,523 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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