Sally MCP Server for LangChainGive LangChain instant access to 12 tools to Add Comment, Check Sally Health, Create Project, and more
LangChain is the leading Python framework for composable LLM applications. Connect Sally 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 Sally app connector for LangChain is a standout in the Productivity category — giving your AI agent 12 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({
"sally": {
"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 Sally, 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 Sally MCP Server
Connect your Sally instance to any AI agent and take full control of your API-first project management through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Sally through native MCP adapters. Connect 12 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
- Projects — Create, list, and inspect projects with full metadata.
- Tasks — Full CRUD with priorities (P1-P4), statuses, labels, and assignees.
- Comments — Add comments to any task for collaboration and status updates.
- Kanban Board — Retrieve the aggregated board view showing tasks organized by status columns.
- Timesheets — Access timesheet reports with tracked hours and billing information.
- Profile — Verify your authenticated identity and workspace permissions.
The Sally MCP Server exposes 12 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 12 Sally tools available for LangChain
When LangChain connects to Sally through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-management, kanban, api-first, 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.
Comments are visible to all project members. Add a comment to a task
Check Sally instance health
Create a new project
Optionally set priority (P1-P4), status, and labels. Create a new task in a project
Get the Kanban board view
Get the authenticated user profile
Get details of a specific project
Get full details of a specific task
Get timesheet report for the workspace or project
List all projects in the workspace
Optionally filter by project ID to see tasks for a specific project. List tasks, optionally filtered by project
Only provided fields are changed. Update an existing task
Connect Sally to LangChain via MCP
Follow these steps to wire Sally 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 Sally MCP Server
LangChain provides unique advantages when paired with Sally through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Sally 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 Sally queries for multi-turn workflows
Sally + LangChain Use Cases
Practical scenarios where LangChain combined with the Sally MCP Server delivers measurable value.
RAG with live data: combine Sally tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Sally, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Sally tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Sally tool call, measure latency, and optimize your agent's performance
Example Prompts for Sally in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Sally immediately.
"List all projects in my Sally workspace."
"Create a P2 task 'Implement auth middleware' in project proj_abc123 with labels 'backend, security'."
"Show me the Kanban board for project proj_abc123."
Troubleshooting Sally MCP Server with LangChain
Common issues when connecting Sally to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersSally + LangChain FAQ
Common questions about integrating Sally 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.