BREAKING CHANGE: Remove all `agent-reach read` and `agent-reach search-*` commands. Agent Reach is now an installer, configuration tool, and doctor — not a wrapper layer. After installation, agents call upstream tools directly (bird CLI, yt-dlp, mcporter, gh CLI, Jina Reader, etc.). What's kept: - agent-reach install: one-shot installer - agent-reach doctor: channel status overview - agent-reach configure: cookies, proxy, credentials - agent-reach setup: interactive wizard - SKILL.md: complete guide for agents to use upstream tools directly What's removed: - agent-reach read URL (and all channel read() methods) - agent-reach search-* commands (and all channel search() methods) - ReadResult / SearchResult data classes - URL routing system (get_channel_for_url) - All parsing/conversion logic (VTT, Reddit JSON, bird text parser, etc.) - MCP server read/search tools (kept only get_status) Net change: -1790 lines. Less code = fewer bugs.
6.5 KiB
name, description
| name | description |
|---|---|
| agent-reach | Give your AI agent eyes to see the entire internet. Install and configure upstream tools for Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, LinkedIn, Boss直聘, RSS, and any web page — then call them directly. Use when: (1) setting up platform access tools for the first time, (2) checking which platforms are available, (3) user asks to configure/enable a platform channel. Triggers: "帮我配", "帮我添加", "帮我安装", "agent reach", "install channels", "configure twitter", "enable reddit". |
Agent Reach
Install and configure upstream tools for 12+ platforms. After setup, call them directly — no wrapper layer.
Setup
pip install https://github.com/Panniantong/agent-reach/archive/main.zip
agent-reach install --env=auto
agent-reach doctor
install auto-detects your environment and installs core dependencies (Node.js, mcporter, bird CLI, gh CLI, yt-dlp, feedparser). Run doctor to see what's active.
Management
agent-reach doctor # channel status overview
agent-reach watch # quick health + update check
agent-reach check-update # check for new versions
Configure channels
agent-reach configure twitter-cookies "auth_token=xxx; ct0=yyy"
agent-reach configure proxy http://user:pass@ip:port
agent-reach configure --from-browser chrome # auto-extract cookies from local browser
Configuring a channel ("帮我配 XXX")
When a user asks to configure/enable any channel:
- Run
agent-reach doctor - Find the channel — it shows status (✅/⚠️/⬜) and what to do next
- Execute what you can automatically (install packages, start services)
- For human-required steps (scan QR, paste cookies), tell the user what to do
- Run
agent-reach doctoragain to verify
Do NOT memorize per-channel steps. Always rely on doctor output.
Common human actions
- Paste cookies: User installs Cookie-Editor → goes to the website → exports Header String → sends it to you → you run
agent-reach configure <platform>-cookies "..." - Scan QR code: User opens the URL on their phone/browser and scans with the platform's app
- Proxy: Reddit/Bilibili/XiaoHongShu may block server IPs — suggest a residential proxy if on a server
Using Upstream Tools Directly
After agent-reach install, call the upstream tools directly. No need for agent-reach read or agent-reach search.
Twitter/X (bird CLI)
# Search tweets
bird search "query" --json -n 10
# Read a specific tweet
bird read https://x.com/user/status/123 --json
# Read a user's timeline
bird timeline @username --json -n 20
YouTube (yt-dlp)
# Get video metadata
yt-dlp --dump-json "https://www.youtube.com/watch?v=xxx"
# Download subtitles only
yt-dlp --write-sub --write-auto-sub --sub-lang "zh-Hans,zh,en" --skip-download -o "/tmp/%(id)s" "URL"
# Then read the .vtt file
# Search (yt-dlp ytsearch)
yt-dlp --dump-json "ytsearch5:query"
Bilibili (yt-dlp)
# Get video metadata
yt-dlp --dump-json "https://www.bilibili.com/video/BVxxx"
# Download subtitles
yt-dlp --write-sub --write-auto-sub --sub-lang "zh-Hans,zh,en" --convert-subs vtt --skip-download -o "/tmp/%(id)s" "URL"
Reddit (JSON API)
# Read a subreddit
curl -s "https://www.reddit.com/r/python/hot.json?limit=10" -H "User-Agent: agent-reach/1.0"
# Read a post with comments
curl -s "https://www.reddit.com/r/python/comments/POST_ID.json" -H "User-Agent: agent-reach/1.0"
# Search
curl -s "https://www.reddit.com/search.json?q=query&limit=10" -H "User-Agent: agent-reach/1.0"
Note: On servers, Reddit may block your IP. Use proxy or search via Exa instead.
小红书 / XiaoHongShu (mcporter + xiaohongshu-mcp)
# Search notes
mcporter call 'xiaohongshu.search_feeds(keyword: "query")'
# Read a note
mcporter call 'xiaohongshu.get_feed_detail(feed_id: "xxx", xsec_token: "yyy")'
# Get comments
mcporter call 'xiaohongshu.get_feed_comments(feed_id: "xxx", xsec_token: "yyy")'
# Post a note
mcporter call 'xiaohongshu.create_image_feed(title: "标题", desc: "内容", image_paths: ["/path/to/img.jpg"])'
GitHub (gh CLI)
# Search repos
gh search repos "query" --sort stars --limit 10
# View a repo
gh repo view owner/repo
# Search code
gh search code "query" --language python
# List issues
gh issue list -R owner/repo --state open
# View a specific issue/PR
gh issue view 123 -R owner/repo
Web — Any URL (Jina Reader)
# Read any webpage as markdown
curl -s "https://r.jina.ai/URL" -H "Accept: text/markdown"
# Search the web
curl -s "https://s.jina.ai/query" -H "Accept: text/markdown"
Exa Search (mcporter + exa MCP)
# Web search
mcporter call 'exa.web_search_exa(query: "query", numResults: 5)'
# Code search (GitHub, StackOverflow, docs)
mcporter call 'exa.get_code_context_exa(query: "how to parse JSON in Python", tokensNum: 3000)'
# Company research
mcporter call 'exa.company_research_exa(companyName: "OpenAI")'
LinkedIn (mcporter + linkedin-scraper-mcp)
# View a profile
mcporter call 'linkedin.get_person_profile(linkedin_url: "https://linkedin.com/in/username")'
# Search people
mcporter call 'linkedin.search_people(keyword: "AI engineer", limit: 10)'
# View company
mcporter call 'linkedin.get_company_profile(linkedin_url: "https://linkedin.com/company/xxx")'
Fallback: curl -s "https://r.jina.ai/https://linkedin.com/in/username"
Boss直聘 (mcporter + mcp-bosszp)
# Browse recommended jobs
mcporter call 'bosszhipin.get_recommend_jobs_tool(page: 1)'
# Search jobs
mcporter call 'bosszhipin.search_jobs_tool(keyword: "Python", city: "北京", page: 1)'
# View job details
mcporter call 'bosszhipin.get_job_detail_tool(job_url: "https://www.zhipin.com/job_detail/xxx")'
Fallback: curl -s "https://r.jina.ai/https://www.zhipin.com/job_detail/xxx"
RSS (feedparser)
python3 -c "
import feedparser
d = feedparser.parse('https://example.com/feed')
for e in d.entries[:5]:
print(f'{e.title} — {e.link}')
"
Troubleshooting
Twitter "fetch failed"
bird CLI uses Node.js native fetch(), which doesn't respect HTTP_PROXY. Solutions:
- Ensure
undiciis installed:npm install -g undici - Configure proxy:
agent-reach configure proxy http://user:pass@ip:port - If still failing, use transparent proxy (Clash TUN, Proxifier)
Channel broken?
Run agent-reach doctor — it shows what's wrong and how to fix it.