🔌 MCP (Model Context Protocol)

MCP Server Example

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from mcp import Server, Tool, Resource

server = Server("enterprise-tools")

@server.tool()
async def search_documents(
    query: str,
    filters: dict = None,
    limit: int = 10
) -> list[dict]:
    """Search company documents with semantic understanding."""
    results = await vector_store.similarity_search(
        query=query,
        k=limit,
        filter=filters
    )
    return [
        {"title": r.title, "content": r.content, "source": r.source}
        for r in results
    ]

@server.resource("database://customers/{customer_id}")
async def get_customer(customer_id: str) -> dict:
    """Retrieve customer information by ID."""
    customer = await db.customers.find_one({"id": customer_id})
    return customer

# Run with proper authentication
server.run(auth=enterprise_auth_middleware)

MCP Use Cases

Frequently Asked Questions

What is MCP (Model Context Protocol)?

MCP is Anthropic’s open protocol for connecting AI assistants to external data sources and tools. It provides a standardized way for LLMs to access databases, APIs, file systems, and other resources, enabling more capable AI applications.

How much does MCP development cost?

MCP development typically costs $110-160 per hour. A basic MCP server implementation starts around $8,000-15,000, while complex integrations with multiple data sources and enterprise systems range from $25,000-60,000+.

When should I use MCP vs custom tool integration?

Use MCP for: Claude integration, standardized interfaces, reusability across projects. Use custom tools for: non-Claude LLMs, highly specific integrations, or when MCP’s abstraction doesn’t fit. MCP is excellent for Claude-first applications.

What can MCP servers connect to?

MCP servers can provide access to: databases (read/write), file systems, APIs (internal and external), business applications (CRM, ERP), and custom services. Any data source can be exposed to Claude through MCP.

Do you build MCP servers?

Yes. I build custom MCP servers that connect Claude to your business systems: database access, API integration, document retrieval, and custom tools. MCP enables Claude to become a genuine assistant with access to your organizational knowledge.

Related

Experience:

• Founder at Sparrow Intelligence - Building MCP servers

Case Studies: Agentic AI Knowledge Systems

Related Technologies: Anthropic Claude, AI Agents, LangChain, FastAPI, Python