Découvrez folk, le CRM pour les entreprises axées sur les ressources humaines
CRM data is becoming something AI can work with, not just something sales reps have to maintain. Attio MCP pushes that shift further by giving an AI Sales Assistant direct access to live workspace data and CRM actions.
Attio MCP is Attio’s hosted Model Context Protocol server. It connects compatible AI tools such as ChatGPT and Claude to Attio, allowing them to search CRM data, create or update records, work with notes, manage tasks, and access sales activity through natural language.
The proposition is strong: less CRM clicking, more work handled directly from the AI interface. But with folk offering its own native MCP approach, Attio is no longer the only modern CRM competing for this agentic sales workflow.
What Is Attio MCP?
Attio MCP is Attio’s official hosted Model Context Protocol server. It provides a standardized connection between an Attio workspace and compatible AI clients, including ChatGPT and Claude.
Instead of manually feeding CRM context into an AI assistant, the MCP server gives it controlled access to live Attio data and available CRM actions.
What does Attio MCP connect?
The connection covers core parts of the Attio workspace, including:
✅ People and companies
✅ Deals and other CRM records
✅ Lists and list entries
✅ Notes
✅ Tasks
✅ Emails and meetings
✅ Workspace attributes
Attio MCP supports both read and write operations. An AI agent can therefore retrieve CRM context and, when permitted, create or update data instead of acting as a read-only search layer.
Attio MCP is a hosted server
Attio hosts the MCP server itself, so teams do not need to deploy and maintain their own server infrastructure.
Access is authenticated through OAuth and tied to the user’s existing Attio permissions. This keeps the MCP connection within the same access boundaries already defined inside the workspace.
How Does Attio MCP Work?
Attio MCP acts as a bridge between an AI client and the CRM. Once connected, the AI assistant can see which Attio tools are available, call the appropriate one, and use the returned CRM data to complete a task.
The workflow is straightforward:
- An MCP-compatible AI client connects to Attio’s hosted MCP server.
- The user authenticates the connection through OAuth.
- Attio exposes the CRM tools available to that user.
- The AI selects a tool based on the request.
- Attio reads or updates the workspace and returns the result.
MCP uses live Attio context
The main difference from a standard AI prompt is access to current CRM data. Instead of pasting a contact record or deal history into ChatGPT, the assistant can retrieve that context directly from Attio.
For example, a sales rep could ask an AI assistant to find open deals linked to a company, review recent notes and meetings, then create a follow-up task. MCP handles the connection between those instructions and the relevant Attio actions.
The result is less context switching between the AI interface and CRM, while Attio remains the system of record.
What Can Attio MCP Actually Do? Main Use Cases
Attio MCP exposes a surprisingly broad part of the CRM to AI clients. Beyond looking up a contact or updating a deal, the available tools cover records, lists, attributes, notes, tasks, and sales activity.
1. Build CRM context on demand
An AI assistant can query people, companies, deals, and custom records to answer questions from live workspace data.
That makes prompts such as these possible:
→ Find companies currently in the qualification stage
→ Pull every deal associated with a specific account
→ Check the latest activity for a prospect
→ Find records matching specific CRM attributes
The assistant gets the context directly from Attio instead of working from an exported list or copied CRM fields.
2. Work with Attio lists and attributes
This is one of the more interesting parts of Attio MCP. Attio relies heavily on flexible objects, attributes, and lists rather than forcing every team into the same rigid CRM structure.
MCP tools can interact with that structure. AI clients can inspect lists and attributes, work with list entries, and use those fields when querying or updating records.
For teams with custom qualification systems or unconventional pipelines, this matters more than another generic “search contacts” feature.
3. Turn conversations into CRM housekeeping
Attio MCP can handle the repetitive work that normally follows sales activity. An assistant can create tasks, add notes, update records, or change list entries without requiring another pass through the CRM interface.
A rep could finish a call and ask the AI to update the opportunity, save the relevant context as a note, and create a task for Friday.
4. Pull emails and meetings into the context
Attio can also expose email and calendar activity through MCP tools. This gives the AI more relationship context than the fields sitting on a CRM record alone.
Instead of asking “What does the CRM say about Acme?”, the useful question becomes “What has actually happened with Acme, and what needs attention next?”
How to Set Up Attio MCP? 3 Methods
Attio hosts its MCP server at https://mcp.attio.com/mcp, so there is no server to deploy or API integration to build. The main job is connecting the chosen AI client and authorizing access to the Attio workspace.
Connect Attio MCP to ChatGPT
For ChatGPT environments that support custom MCP connections:
- Open the connector or MCP settings.
- Add the Attio MCP server URL:
https://mcp.attio.com/mcp - Start the connection.
- Sign in to Attio through OAuth.
- Select and authorize the relevant workspace.
- Test the connection with a simple CRM request.
Once authenticated, ChatGPT can use the Attio tools available under that user’s permissions.
Connect Attio MCP to Claude
Attio can also connect to Claude through its remote MCP support. Add the same hosted MCP endpoint, complete the Attio OAuth flow, and authorize the workspace.
There is no need to run Attio MCP locally or manage separate API credentials for the standard connection.
Connect Other MCP Clients
Other MCP-compatible clients can use Attio’s hosted endpoint as long as they support remote MCP servers and the required authentication flow.
This hosted approach keeps deployment relatively light: Attio maintains the server, while each user authenticates access to the CRM.
Attio MCP vs Ask Attio: What's the Difference?
Attio now has two distinct ways to work with AI: Ask Attio and Attio MCP. They overlap around CRM data, but they solve different problems.
Attio MCP Pricing
Attio does not charge separately for MCP access. The MCP server is included across all four Attio plans, including the free tier.
Attio MCP: Pros and Cons
Attio MCP is one of the more polished native MCP implementations among modern CRMs. It combines a hosted server, OAuth authentication, flexible CRM objects, and read/write access without forcing teams to maintain their own integration layer.
3 Best Attio MCP Alternatives in 2026
1. folk
Évaluation
⭐⭐⭐⭐⭐(G2)
Aperçu
folk is a CRM for startups and lean teams that want relationship data to remain usable without spending hours designing the CRM around it. Its native MCP server gives AI assistants such as ChatGPT and Claude access to live CRM context, creating a direct bridge between relationship management and agentic sales workflows.
The distinction from Attio comes down to philosophy. Attio provides a highly flexible data model for teams that want to shape the CRM around their own objects and processes. folk keeps the experience closer to people, companies, conversations, deals, and relationships.
That makes folk particularly relevant for founder-led sales, partnerships, recruiting, agencies, and compact sales teams where knowing who spoke to whom — and what should happen next — matters more than building a highly customized CRM architecture.
Best Features
- Native MCP server for AI assistants
- Live access to people, companies, deals, and notes
- Enrichissement des données de contact grâce à l'IA
- Relationship and interaction context
- Personalized AI follow-ups
- Meeting summaries and Next Best Action
- Flexible pipelines without heavy CRM administration
- Gmail, Outlook, LinkedIn, and WhatsApp integrations
Tarification
- Forfait Standard : 24 $ par utilisateur et par mois
- Formule Premium: 48 $ par utilisateur et par mois
- Custom: $80/user/month
- Essai gratuit de 14 jours
✅ For teams choosing between Attio and folk primarily for AI workflows, the decision is less about which CRM supports MCP — both do — and more about how much CRM architecture the team actually wants to manage.
2. Twenty
Évaluation
⭐⭐⭐⭐(ProductHunt)
Aperçu
Twenty is an open-source CRM aimed at teams that want more control over their CRM stack. Its flexible architecture makes it particularly interesting for technical teams that prefer an extensible platform over a tightly managed SaaS environment.
Compared with Attio, Twenty puts more emphasis on ownership and customization. It can suit startups with engineering resources that want to build AI and automation workflows around an open CRM foundation rather than depend entirely on a proprietary ecosystem.
Best Features
- Open-source CRM architecture
- Self-hosting option
- Modèle de données flexible
- Custom objects and fields
- Contact and company management
- Opportunity tracking
- Automatisation des flux de travail
- Developer-friendly API and integrations
Tarification
- Open-source self-hosted version available
✅ Twenty is the more technical Attio alternative. It makes the most sense when control over infrastructure, extensibility, and open-source software matter more than having a polished MCP experience out of the box.
3. Zoho
Évaluation
⭐⭐⭐⭐(G2)
Aperçu
Zoho CRM takes a broader approach than Attio. It combines traditional CRM functionality with sales automation, analytics, AI, and access to the wider Zoho business software ecosystem.
Its main appeal is breadth. Sales teams can manage leads, contacts, deals, forecasting, workflows, and customer interactions without assembling several separate platforms.
For teams comparing modern AI-ready CRMs, Zoho is less minimalist than Attio or folk but provides considerably more operational depth around the core CRM.
Best Features
- Lead, contact, account, and deal management
- Zia AI assistant
- Sales workflow automation
- Custom modules and fields
- Forecasting and analytics
- Communication omnicanale
- Large Zoho application ecosystem
- Extensive API and integration options
Tarification
- Free edition available
- Standard: from $14/user/month
- Professional: from $23/user/month
- Enterprise: from $40/user/month
- Ultimate: from $52/user/month
✅ Zoho CRM fits SMBs that want a broader business platform around sales rather than the flexible, startup-focused CRM experience offered by Attio.
Conclusion
Attio MCP is a solid option for teams that want AI to interact with a highly customizable CRM. Its hosted server, read/write capabilities, and support for Attio’s flexible data model make it particularly useful for custom sales workflows.
folk takes a more relationship-first approach. For lean teams that want live CRM context, enrichment, sales activity, and AI workflows without extensive data modeling, it offers a simpler alternative.
Foire aux questions
Does Attio have an MCP server?
Yes. Attio provides an official hosted MCP server that connects compatible AI clients to live Attio workspace data and CRM tools.
Is Attio MCP free?
Attio MCP access is available across Attio plans, including the Free plan. Limits and additional CRM capabilities depend on the subscription tier.
Does Attio MCP work with ChatGPT?
Yes. Attio MCP can connect to ChatGPT environments that support remote MCP servers and custom MCP connections. Authentication runs through Attio OAuth.
Can Claude connect to Attio?
Yes. Claude can connect to Attio through its hosted MCP server. Once authenticated, Claude can use the Attio tools available within the user's workspace permissions.
Can Attio MCP update CRM records?
Yes. Attio MCP supports read and write operations. AI clients can perform actions such as creating or updating records, managing tasks, adding notes, and working with list entries when permissions allow them.
What is the difference between Attio MCP and the Attio API?
The Attio API is primarily designed for developers building integrations programmatically. MCP provides a standardized interface that lets compatible AI agents identify and call Attio tools directly.
What is the difference between Ask Attio and Attio MCP?
Ask Attio brings AI capabilities into the Attio interface. Attio MCP takes the opposite approach by making Attio data and tools available inside external AI environments.
What is the best alternative to Attio MCP?
folk is a strong alternative for startups and lean sales teams that prioritize relationship intelligence and straightforward AI access to CRM data. Twenty is better suited to teams seeking an open-source CRM, while Zoho CRM targets SMBs that need a broader business software ecosystem.
Découvrez folk, votre CRM sur pilote automatique