Bring Crm
to LangChain
Learn how to connect Attio to LangChain and start using 14 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Attio MCP Server?
Connect your Attio account to any AI agent and take full control of your relationship management orchestration and automated CRM workflows through natural conversation.
What you can do
- Object & Record Orchestration — List and manage your entire database of CRM objects (Companies, People) programmatically, retrieving detailed attribute metadata
- Relationship Intelligence Architecture — Programmatically query and monitor customer interactions and connection signals to maintain a perfectly coordinated sales strategy
- Workflow & View Monitoring — Access your complete directory of CRM views and pipelines to coordinate your organizational resource allocation in real-time
- Metadata Management — Programmatically retrieve field identifiers and record history to maintain a perfectly coordinated audit trail
- Operational Monitoring — Verify account-level API connectivity and monitor CRM activity volume directly through your agent for perfectly coordinated service scaling
How it works
1. Subscribe to this server
2. Retrieve your API Key from your Attio dashboard (Settings > API Keys)
3. Start orchestrating your business growth from Claude, Cursor, or any MCP client
No more manual updating of individual CRM records or missing critical relationship updates. Your AI acts as your dedicated relationship coordinator and CRM architect.
Who is this for?
- Sales & Success Managers — instantly retrieve relationship summaries and monitor pipeline health using natural language commands
- Operations Leads — verify individual record metadata and track CRM updates without leaving your creative workspace
- Developers — integrate high-speed Attio data into custom internal tools and communication channels through simple AI queries
Built-in capabilities (14)
Verify Attio API connectivity
Useful for logging meeting notes, call summaries, or updates. Create a note on a record
Pass attribute values as JSON (e.g., {"name": [{"value": "Acme Corp"}]}). Create a new record
Create a new task
This action is irreversible. Delete a record
Get entries from a list
Get object schema
Get a specific record
List all lists
List notes on a record
List all CRM objects
Use "companies" for companies, "people" for contacts, "deals" for deals. List records for any object
List all tasks
Only provided attributes are changed. Update an existing record
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Attio through native MCP adapters. Connect 14 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 Attio 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 Attio queries for multi-turn workflows
Attio in LangChain
Attio and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Attio 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 Attio in LangChain
The Attio 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 14 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
Attio for LangChain
Every tool call from LangChain to the Attio MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Attio API Key?
Log in to your account, navigate to Settings > API Keys, and create or copy your unique Access Token.
Can I retrieve records from a specific object via AI?
Yes! The list_records tool allows your agent to retrieve metadata for all entries in a specific CRM object (e.g., 'people' or 'companies').
How do I list my active CRM objects?
Use the list_objects tool to retrieve your complete directory along with the unique identifiers for all managed CRM schemas.
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