Scribe MCP Server for LangChainGive LangChain instant access to 10 tools to Check Scribe Status, Get Documentation Stats, Get Recent Documents, and more
LangChain is the leading Python framework for composable LLM applications. Connect Scribe through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this App Connector for LangChain
The Scribe app connector for LangChain is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"scribe": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Scribe, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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
About Scribe MCP Server
Connect your Scribe organization to any AI agent and access your process documentation library through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Scribe 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.
What you can do
- Full Search — Search across all Scribes and Knowledge Pages simultaneously.
- Filtered Search — Search only guides or only pages for targeted results.
- Team Scoping — Find documents within a specific team for departmental queries.
- Date Filtering — Search by creation date range or get recent documents.
- Teams — List all teams and their documents for content auditing.
- Statistics — Get an overview of your documentation footprint.
The Scribe MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Scribe tools available for LangChain
When LangChain connects to Scribe through Vinkius, your AI agent gets direct access to every tool listed below — spanning scribe, process-documentation, knowledge-base, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify Scribe API connectivity
Get documentation statistics
Get documents created in the last 30 days
Useful for auditing team documentation. Get all documents for a specific team
List all teams in your Scribe organization
Dates should be in YYYY-MM-DD format. Search documents by creation date range
Search documents within a specific team
Search across all Scribes and Pages
Search only Knowledge Pages
Search only Scribe guides
Connect Scribe to LangChain via MCP
Follow these steps to wire Scribe into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Scribe MCP Server
LangChain provides unique advantages when paired with Scribe through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Scribe MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Scribe queries for multi-turn workflows
Scribe + LangChain Use Cases
Practical scenarios where LangChain combined with the Scribe MCP Server delivers measurable value.
RAG with live data: combine Scribe tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Scribe, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Scribe tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Scribe tool call, measure latency, and optimize your agent's performance
Example Prompts for Scribe in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Scribe immediately.
"Search for all documentation about 'onboarding'."
"List all teams in our Scribe organization."
"What documents were created in the last 30 days?"
Troubleshooting Scribe MCP Server with LangChain
Common issues when connecting Scribe to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersScribe + LangChain FAQ
Common questions about integrating Scribe MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.