Social Fetch for LangChain
io.github.social-freak-ltd/socialfetch
Public social-data API and live docs for AI coding agents.
client:LangChain
transport:streamable-http
tools:250
Install Social Fetch in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"socialfetch": {
"transport": "streamable_http",
"url": "https://api.socialfetch.dev/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs
What LangChain can do once it is connected
- linkedin_live_profile_get_v2
- linkedin_live_profile_batch_v2
- linkedin_live_person_resolve_v2
- linkedin_live_person_posts_v2
- linkedin_live_person_comments_v2
- linkedin_live_person_employmentHistory_v2
- linkedin_live_person_recommendations_v2
- linkedin_live_person_interests_v2
- linkedin_live_person_similar_v2
- linkedin_live_organization_get_v2
- linkedin_live_organization_batch_v2
- linkedin_live_organization_resolve_v2
- linkedin_live_organization_posts_v2
- linkedin_live_organization_jobs_v2
- linkedin_live_organization_headcount_v2
- linkedin_live_organization_affiliated_v2
- linkedin_live_organization_similar_v2
- linkedin_live_job_get_v2
- linkedin_live_job_batch_v2
- linkedin_live_job_hiringTeam_v2
- linkedin_live_job_relatedViews_v2
- linkedin_live_job_similar_v2
- linkedin_live_activity_get_v2
- linkedin_live_activity_comments_v2