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Backforms MCP Server

Official Backforms Model Context Protocol (MCP) server for Cursor, Windsurf, Claude Code, and Claude Desktop.

Node.jsstdio

context tax

pending

security

pending

cold start

pending

freshness

pending

Our reading of Backforms, from the data

Backforms is a ai & llm tools MCP server.

We haven't measured its tool list yet, so its token cost is unknown.

It runs locally on your machine over stdio.

Install Backforms MCP server

Install in Claude Code

claude mcp add backforms -- npx -y backforms-mcp

Freshness

Not enough public signals yet to judge maintenance.

  1. Last commit (default branch)

    no data · GitHub

  2. Latest release

    no data · GitHub

  3. Package published

    no data · npm/PyPI

  4. Registry entry updated

    no data · official registry

How it compares in AI & LLM Tools

Against the most-starred ai & llm tools servers we index. Token cost is per model turn, measured from each server's live tool list.

ServerStarsToolsTokens / turnFreshnessRuns
Backforms (this)——not measured—local
Memory91,356—not measuredActivelocal
Claude Flow76,638—not measuredActivelocal
Next AI Draw.io36,318—not measured—local
Serena Agent30,371—not measuredActivelocal
Trycua30,160—not measuredActive—
All ai & llm tools MCP servers

FAQ

›How do I install the Backforms MCP server in Claude Code?

Run: claude mcp add backforms -- npx -y backforms-mcp. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.

›Does Backforms require an API key?

No required environment variables are declared in its published metadata.

›Can I use Backforms as a remote (hosted) MCP server?

No hosted endpoint is published; it runs locally over stdio.

›Is Backforms in the official MCP registry?

No. It was indexed from npm.

Sources and method

Package registry (npm / PyPI)
listed
Last checked against all sources
2026-10-19

The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Spot an error? Request a correction or claim the listing.

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