MCP Integration

Quixoa supports the Model Context Protocol (MCP) to enable secure, dynamic, and modular integration of external tools and APIs directly into the AI experience. This allows agents to interact with services like databases, document repositories, and CRMs — all without exposing sensitive logic or hardcoding workflows.

  • Securely connect Quixoa to private tools and internal services.
  • Modularize your AI workflows without coupling them to a specific provider.
  • Empower agents with real-time knowledge, operations, and automation.
  • Connect tools easily with no code via UI or standard OpenAPI schemas.
Explore MCP with Quixoa Today

Key Capabilities of MCP

Dynamic Tool Access:

Expose tools on-the-fly to specific agents based on use case, team, or data context.

Secure, Scoped Execution:

All tool calls are validated, logged, and scoped to the calling user/session — no direct access to underlying infrastructure.

Multi-Model Compatible:

MCP works across OpenAI, Claude, Gemini, and other LLMs inside Quixoa.

No Code to Connect:

Use config files or the admin UI to connect tools via OpenAPI schemas or simple endpoints.

Powerful
Real-World
Use Cases

1
Live Support Enhancement
Fetch client details from an internal CRM during a live support chat to provide personalized assistance.
2
Data-Aware Agent
Query SQL databases via an AI agent with role-based data filters to get instant answers from structured data.
3
Automated Workflows
Trigger workflow actions like scheduling a follow-up, generating a report, or creating a ticket in another system.
4
Compliance & HR
Connect to internal compliance or HR tools to allow agents to retrieve policy documents or status updates securely.

For Developers: Define Tools with Maximum Flexibility

Admins and developers can define MCP tools using JSON schemas or OpenAPI specs, including input/output structure, descriptions for model grounding, rate limits, auth controls, and caching logic. Tools can be hosted internally or exposed via Quixoa's secure gateway proxy.

Turn Your Services into AI Tools

Security & Governance by Design

Every MCP call is scoped, permissioned, and auditable, giving you complete control and visibility over how your tools are used.

Fine-Grained Access Control:

Manage permissions for each tool, ensuring only authorized users and agents can make calls.

Full Audit Logs:

Maintain a complete, searchable record of all tool calls by user, agent, and timestamp for compliance.

Secure by Default:

Tools are called through a secure proxy, with options for human-in-the-loop approvals or read-only modes.

Scoped Execution:

Agents never get direct access to your infrastructure; they only interact through the structured MCP layer.

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Frequently Asked Questions

MCP is a standardized way for Quixoa’s AI agents to securely call external functions, tools, or services. It allows agents to interact with systems like databases, CRMs, or internal APIs in a controlled and auditable manner.

MCP provides a secure, modular, and governed layer. Instead of exposing credentials or complex logic, you define a simple interface. This makes your workflows more secure, easier to manage, and compatible across different AI models without being rewritten.

You can connect almost any service with an API. Common examples include CRMs (like Salesforce), databases (SQL/NoSQL), document repositories (like SharePoint), calculators, internal HR systems, or any custom-built company API.

Not necessarily. For tools with a standard OpenAPI (Swagger) schema, connection can be a "no-code" process through the admin UI. For custom tools, a developer can easily define the interface using a simple JSON schema.

Security is built-in. All calls are made through a secure proxy, access to each tool is managed by permissions (RBAC), every call is logged for auditing, and agents never get direct access to your infrastructure or credentials.

Join the hundreds of companies and individuals using Quixoa.

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We used to spend ~$40 per employee per month on various LLM subscriptions. Quixoa enabled us to save ~$10k per year, and on top of that has offered a more comprehensive AI platform.

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Most people don't think that AI can be used in a healthcare setting. After deploying Quixoa, so many use cases popped up that we never imagined. We've been able to use AI to help with patient education, clinical operations, process flows, contracting, and so much more.

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Quixoa can speed up any student's life. I use it to proofread documents, help conduct research, identify relevant sources, and more.

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Quixoa's access to different models lets me cut costs. I can use Claude for tougher code generation and Gemini for simple syntax fixes. And the best part: I can switch providers in the same chat!

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Quixoa's flexibility across different AI models means I can get high-quality results no matter the task. From writing product specs to customer communication templates, it handles everything smoothly.

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Quixoa is my new best friend. I'm constantly using the Quixoa mobile app to work on the go, draft emails, summarize articles, and more. My favorite feature is the ability to take a picture of what I am working on and chat directly over it.