io.github.askadvaith/mcp-state-sidecar

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v0.1.0io.github.askadvaithUnknownUpdated 3mo agoGitHub

MCP State Sidecar: durable state persistence for multi-agent AI workflows

An MCP-native state sidecar that externalises workflow state for distributed agent deployments. Quite a simple idea really; instead of storing state inside agents (which breaks when processes crash, scale horizontally, or span multiple frameworks), agents write to and read from this sidecar over the Model Context Protocol (MCP). The sidecar is itself an MCP server; agents call its tools exactly…

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7GitHub stars
3Forks
3mo agoLast update
Package
Authorio.github.askadvaith
LicenseUnknown
Version0.1.0
Sourcemcp-registry
GitHubaskadvaith/MCP-State-Sidecar
SBOMCycloneDX 1.6 ↓
Trust Status
B
60/100Good
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✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
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StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
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DependenciesNot audited
Tool surface—
Security scan✓ Cleanv0.1.0 · 3mo agoHow well does this scan work?
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IndexedJun 13, 2026

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Tools

No tool declarations found in the source3mo ago

Forge read 0 source files from the published package tarball and matched no MCP tool registrations. Extraction is pattern-based over shipped source: a server that builds its tool list at runtime, or that ships only bundled or minified code, registers nothing this can see. Treat it as “not detected”, not as “exposes none”.

About

An MCP-native state sidecar that externalises workflow state for distributed agent deployments. Quite a simple idea really; instead of storing state inside agents (which breaks when processes crash, scale horizontally, or span multiple frameworks), agents write to and read from this sidecar over the Model Context Protocol (MCP). The sidecar is itself an MCP server; agents call its tools exactly the same way they call any other tool! The server itself is built with distributed environments in…

Keywords
mcp
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