Bring Small Business
to LangChain
Learn how to connect eGestor ERP 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.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the eGestor ERP MCP Server?
Connect your eGestor ERP account to any AI agent and manage your Brazilian small business operations through natural conversation.
What you can do
- Contact Management — List all clients and suppliers, and retrieve individual contact profiles with full commercial data
- Product Catalog — Browse your product inventory with prices, stock quantities, and categories
- Service Catalog — Manage service offerings with pricing and descriptions
- Sales Records — List all sales orders and inspect individual transactions with line items, totals, and payment status
- Purchase Records — Track purchase orders from suppliers with costs, quantities, and receiving status
How it works
- Subscribe to this server
- Enter your eGestor Personal Token from Configurações > API
- Start managing your business from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Small Business Owners — query sales reports, check product stock, and review purchase history without opening the dashboard
- Accountants — pull sales and purchase records for reconciliation and fiscal reporting
- Operations Managers — monitor inventory levels and supplier orders through conversational AI
Built-in capabilities (10)
Get a specific contact
Get a specific product
Get a specific purchase
Get a specific sale
Get a specific service
List all eGestor contacts
List all products
List all purchases
List all sales
List all services
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with eGestor ERP 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 eGestor ERP 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 eGestor ERP queries for multi-turn workflows
eGestor ERP in LangChain
eGestor ERP and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect eGestor ERP 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 | 4,000+ 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 eGestor ERP in LangChain
The eGestor ERP 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
eGestor ERP for LangChain
Every tool call from LangChain to the eGestor ERP MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check stock levels for all my products?
Yes. The list_products tool retrieves your full product catalog including prices, stock quantities, categories, and SKUs. Use get_product with a product code to inspect a specific item's full details including cost price, sale price, and stock history.
Can I view both sales and purchase records for financial reconciliation?
Yes. Use list_sales to retrieve all sales orders and get_sale with a sale code for individual transaction details (line items, totals, payment method). Similarly, list_purchases retrieves supplier orders and get_purchase shows complete purchase details. Both are essential for financial reconciliation and fiscal reporting.
What authentication does eGestor require?
eGestor uses a Personal Token (Bearer authentication). Generate it from Configurações > API in your eGestor dashboard. The token is sent as Authorization: Bearer <token> in all requests. Note: the API has a rate limit of 60 requests per minute.
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
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