Model Context Protocol (MCP) is the 2026 standard that unifies AI agents — reference servers 18,500+ stars (CuratedRepo), lets Claude, Gemini, OpenClaw share same tool via JSON-RPC 2.0 over stdio/SSE. From Junagadh I scaffold MCP servers with FastMCP — one Pydantic schema → both Claude Code and OpenClaw consume without rewrite.
I maintain MCP Agent Builder and /blueprints for this. Contact for scaffold audit.
Why MCP in 2026
OSSInsight Apr 2026: MCP servers trending lane alongside local runners/workflow builders/browser agents. Reference repo modelcontextprotocol/servers holds Postgres, SQLite, Git, Filesystem, Slack implementations — gold standard per my CuratedRepo note: "without messy custom glue."
| Tool | Before MCP | After MCP |
|---|---|---|
| Tool per agent | Copied 3x (Claude, Gemini, custom) | One FastMCP server, many hosts |
| Schema | Per-platform hacks | One Pydantic → JSON-RPC 2.0 |
| Transport | HTTP custom | stdio / SSE standard |
from mcp.server.fastmcp import FastMCP
mcp = FastMCP("production-agent-gateway")
@mcp.tool()
async def search_database(query: str, limit: int = 10) -> str:
results = await db.vector_search(query, limit)
return results.to_json()
My gateway adds rate limits, sandbox, telemetry. Every call logs OTel span with policy_decision.
Bottom Line: MCP in 2026 is USB for agents — build one
search_databasetool, every agent host uses it via JSON-RPC stdio/SSE.
Frequently Asked Questions
Is MCP just for Claude?
No — Anthropic spec, but OpenClaw, Gemini CLI, many hosts adopt. Reference servers are language-agnostic (Python/TS).
Why not just custom API?
Custom API = per-agent glue × N agents. MCP = one contract × N hosts. Scales.
Can MCP handle non-DB tools?
Yes — Git, Slack, Filesystem, external APIs — any tool exposed as JSON-RPC.
Who builds MCP servers from Gujarat?
Deepak Bagada — FastMCP + AnyIO, Pydantic validation, OPA, 90-day JSONL.