io.github.turbyho/fw-context-mcp

MCPcommunity
v0.1.4io.github.turbyhoUnknownUpdated 23d agoGitHub

Build-aware code intelligence for embedded C/C++ firmware — libclang, FTS5, call graphs, 19 tools

mcp-name: io.github.turbyho/fw-context-mcp MCP server for embedded C/C++ firmware — gives AI assistants (Claude Code, Cursor, OpenCode, etc.) real understanding of your codebase. Parses your actual build with libclang, extracts every symbol, and builds a persistent index with full-text search, call graph, and vector embeddings. No hallucination. No grepping. No reading thousands of framework…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
23d agoLast update
Package
Authorio.github.turbyho
LicenseUnknown
Version0.1.4
Sourcemcp-registry
GitHubturbyho/fw-context-mcp
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/25
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/10
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
—npm provenance (Sigstore)+0/5
→ Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ Cleanv0.1.5 · 19d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

mcp-name: io.github.turbyho/fw-context-mcp MCP server for embedded C/C++ firmware — gives AI assistants (Claude Code, Cursor, OpenCode, etc.) real understanding of your codebase. Parses your actual build with libclang, extracts every symbol, and builds a persistent index with full-text search, call graph, and vector embeddings. No hallucination. No grepping. No reading thousands of framework headers into context. Your AI assistant goes from guessing to knowing: "What does do and who calls it?"…

Keywords
mcp