Keepcon MCP Server for LangChain 9 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Keepcon 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"keepcon": {
"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 Keepcon, 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 Keepcon MCP Server
Empower your AI agents to moderate user-generated content using Keepcon. This MCP server enables seamless integration with Keepcon's semantic moderation engine for both real-time and batch processing.
LangChain's ecosystem of 500+ components combines seamlessly with Keepcon through native MCP adapters. Connect 9 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
- Real-time Moderation — Submit text for immediate moderation decisions (approve/reject) and category tagging
- Batch Processing — Import large volumes of content for asynchronous moderation and retrieve results in bulk
- Result Management — Export pending moderation decisions and acknowledge processed results to maintain a clean queue
- Feedback Loop — Submit feedback on moderation decisions to improve the accuracy of the semantic engine
- Profile Insight — List and query user profiles associated with moderated content
The Keepcon MCP Server exposes 9 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.
How to Connect Keepcon to LangChain via MCP
Follow these steps to integrate the Keepcon MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 9 tools from Keepcon via MCP
Why Use LangChain with the Keepcon MCP Server
LangChain provides unique advantages when paired with Keepcon through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Keepcon 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 Keepcon queries for multi-turn workflows
Keepcon + LangChain Use Cases
Practical scenarios where LangChain combined with the Keepcon MCP Server delivers measurable value.
RAG with live data: combine Keepcon tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Keepcon, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Keepcon tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Keepcon tool call, measure latency, and optimize your agent's performance
Keepcon MCP Tools for LangChain (9)
These 9 tools become available when you connect Keepcon to LangChain via MCP:
acknowledge_results
Acknowledge receipt of results
export_results
Retrieve batch moderation results
get_profile
Get a specific user profile by Keepcon ID
get_profile_by_social_id
g., twitter, facebook) and the network-specific user ID. Get a user profile by social network ID
import_batch
Returns an import ID. Submit content for batch moderation
list_profiles
List user profiles
moderate_content
Returns the decision (approve/reject) and tags. Moderates content in real-time
search_profiles
Search profiles with filters
submit_feedback
g., false positives) to improve the semantic engine. Submit moderation feedback
Example Prompts for Keepcon in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Keepcon immediately.
"Moderate this text in the 'forum' context: 'This user is being very aggressive!'"
"Export pending moderation results for the 'chat' context."
"List all user profiles in my Keepcon account."
Troubleshooting Keepcon MCP Server with LangChain
Common issues when connecting Keepcon to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersKeepcon + LangChain FAQ
Common questions about integrating Keepcon 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.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Keepcon with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Keepcon to LangChain
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.