Model Context Protocol

Prompt Engineering Retrieval-Augmented Generation
Anthropic released a Data Standard and an Open Specification
Fastify
https://youtu.be/sF799nFJONk?si=bzKPSbS1k_JjbVXo
by Sean Kochel
https://www.youtube.com/watch?v=ixc9t7wTe6U
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https://youtu.be/japoGcdbZGw?si=RE2kLXYfNygeuvOd
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https://youtu.be/kQmXtrmQ5Zg?si=G49rIFWBuBbURE6T
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https://youtu.be/3Jsh4brTjE0?si=dLjkIt5qDoKCgBmy
https://youtu.be/_rFissIE6CA?si=8bNO4zfc57lcJSjn
https://youtu.be/m46tZX6vceI?si=7CpwyesS6mTxEXfk
https://youtu.be/eur8dUO9mvE?si=SdJgtKl4m4xrbIgk
ℹ️(2025-08-17T19:09.457Z)
Perplexity Query
(2025-08-17T19:09
.457Z)
Question:
When did Model Context Protocol come out? Anthropic released the spec but who created it? There seem to be a million "MCP Servers" but how do we know if they are useful? How would developers best use public MCP Servers? What would it take to create one?

Response from sonar-pro:

The Model Context Protocol (MCP) was introduced by Anthropic in November 2024 as an open standard to unify and simplify integration between AI models and external systems. [nxre0z] [wzp5sx] The protocol was created by Anthropic engineers David Soria Parra and Justin Spahr-Summers. [frxou3]
Anthropic released a Data Standard

Overview and Origins

  • Release Date: November 2024. [nxre0z] [wzp5sx]
  • Primary Creators: David Soria Parra and Justin Spahr-Summers of Anthropic. [frxou3]
  • Purpose: MCP standardizes how AI systems share and manage contextual data, replacing fragmented custom integrations with a unified, versioned, and extensible approach. [5atjh6] [nxre0z] [wzp5sx]

MCP Servers: Usefulness and Proliferation

There are indeed many MCP Servers, often created by different vendors, open-source contributors, or teams to expose specific integrations (for example, GitHub access, database operations, code search, or file management). [4rpboa] [wzp5sx]

Assessing Usefulness

To determine if an MCP server is useful:
  • Documentation and Specification Compliance: Check if the server fully implements the MCP spec, supports required transport methods (STDIO and HTTP/SSE), and exposes clear, well-documented capabilities. [4rpboa]
  • Community Adoption and Maintenance: Frequent updates, number of users, and support in major host applications (e.g., Claude Desktop, Zed) signal reliability. [wzp5sx]
  • Security and Permissions: Look for support for robust authentication and permission controls.
  • Ecosystem Integration: Plug-and-play compatibility with popular MCP clients and seamless performance in real workflows.
IMAGE 2: Practical example or use case visualization (A mockup here would show a developer connecting their LLM-based IDE to a "GitHub MCP server" that provides repository access, issue lookup, and pull request integration.)

Best Practices for Developers Using Public MCP Servers

  • Discover and Select: Explore registry listings or curated directories for MCP servers; prioritize popular, well-maintained options.
  • Audit the Capabilities: Understand which functions each server exposes and ensure they match your project needs.
  • Security First: Use servers that support authentication, sandboxing, and audit logging, especially for sensitive integrations.
  • Version Management: MCP supports versioned context objects—developers should ensure compatibility between their application and the server.
  • Local vs. Remote: Use STDIO for local, high-trust use cases; HTTP+SSE for remote, cloud-native setups. [4rpboa]
  • Community Engagement: Participate in the MCP ecosystem (e.g., submit bug reports, contribute integrations, attend workshops).

What It Takes to Create an MCP Server

To build an MCP server:
  • Implement MCP Spec: Follow the latest Anthropic MCP specification, including support for:
    • JSON-RPC 2.0 as the message protocol. [4rpboa]
    • Transport Layers: Support for STDIO (local) and HTTP + SSE (remote streaming). [4rpboa]
  • Define Exposed Capabilities: Decide on the functions/data your server will expose—e.g., access to a data source, code repository, or external API. [5atjh6] [4rpboa]
  • Write Server Logic: Build in the desired language (MCP is language-agnostic; common choices include Python, Node.js, Go).
  • Maintain Documentation: Clearly document methods, authentication flows, and version compatibility.
  • Test and Validate: Use MCP clients to test interoperability; ensure robust error handling and extensibility.
Summary Table
AspectDetails
Protocol NameModel Context Protocol (MCP)
ReleasedNovember 2024
CreatorsDavid Soria Parra, Justin Spahr-Summers (Anthropic)
Protocol PurposeStandardizes model/context integration, reduces friction
Server UsefulnessSpec compliance, adoption, security, documentation
Developer Best UseAudit, secure, version, local/remote settings
Build RequirementsMCP spec, JSON-RPC 2.0, transport, documented functions
MCP’s core value is its open, standardized, and extensible architecture, making it straightforward for developers to integrate diverse AI tools and data sources into robust applications. [5atjh6] [nxre0z] [4rpboa] [wzp5sx]

Citations

[5atjh6] 2025, Apr 17. What is the Model Context Protocol (MCP), and why was it .... Published: 2025-04-09 | Updated: 2025-04-17

[nxre0z] 2025, Aug 17. Model Context Protocol. Published: 2025-04-14 | Updated: 2025-08-17

[frxou3] 2025, Jul 05. MCP Protocol: a new AI dev tools building block. Published: 2025-04-08 | Updated: 2025-07-05

[4rpboa] 2025, Jul 19. What Is the Model Context Protocol (MCP) and How It Works. Published: 2025-04-07 | Updated: 2025-07-19

[wzp5sx] 2025, Jul 08. A beginners Guide on Model Context Protocol (MCP). Published: 2025-04-03 | Updated: 2025-07-08