Bring Screen Sharing
to LangChain
Learn how to connect join.me to LangChain and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the join.me MCP Server?
Connect your join.me account to any AI agent and manage video meetings through natural conversation.
What you can do
- Meeting Scheduling — Create, update, and cancel meetings with customizable settings
- Participant Management — Invite participants, track attendance, and manage access
- Recording Access — List and retrieve meeting recordings
- Meeting History — Browse past meetings with duration and participant data
- Settings Configuration — Manage account and meeting preferences
How it works
1. Subscribe to this server
2. Enter your join.me Access Token
3. Start managing meetings from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Teams — schedule meetings and manage invites through AI
- Managers — review meeting history and recording availability
- Assistants — coordinate calendars and meeting logistics
Built-in capabilities (10)
Register a new webhook
Cancel/Delete a meeting
Get details of a specific meeting
me user profile. Get account information
me account. List your join.me meetings
me account. List registered webhooks
Schedule a future meeting
Start an instant meeting
Start a scheduled meeting
Update a scheduled meeting
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with join.me through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine join.me MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across join.me queries for multi-turn workflows
join.me in LangChain
join.me and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect join.me to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for join.me in LangChain
The join.me MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
join.me for LangChain
Every tool call from LangChain to the join.me MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I schedule meetings and invite participants?
Yes. Create meetings with date, time, duration, and participant list. Update existing meetings and cancel when needed. Each meeting generates a join link for easy sharing.
Can I access meeting recordings?
Yes. List all available recordings and retrieve download links. Recordings include meeting metadata, duration, and participant information.
Can I view past meeting history and attendance?
Yes. Browse meeting history with details including duration, participant count, attendees, and whether the meeting was recorded.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters