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ContextNest MCP Server

PromptOwl/ContextNest

Score: 54.2 Rank #35 MCP Server
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Structured, versioned context for AI agents. Context Nest organizes knowledge as markdown documents in a vault, with versioning, integrity verification, and a query language — accessible via CLI or MCP server.

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Overview

PromptOwl/ContextNest is a TypeScript MCP server licensed under AGPL-3.0. Structured, versioned context for AI agents. Context Nest organizes knowledge as markdown documents in a vault, with versioning, integrity verification, and a query language — accessible via CLI or MCP server.

Ranked #35 out of 109 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

TypeScript AGPL-3.0

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 2

2 stars → early stage

Freshness 25% 1d ago

Last commit 1d ago → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Detailed
License AGPL-3.0

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for PromptOwl/ContextNest
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Matched Queries

"mcp server""mcp-server"

From the README

# Context Nest

**by [PromptOwl](https://promptowl.ai)** | [Website](https://promptowl.ai) | [Whitepaper](https://promptowl.ai/resources/contextnest-whitepaper/) | [Specification](https://github.com/PromptOwl/ContextNest-spec)

Structured, versioned, and verifiable context for AI agents. Context Nest is an open standard for organizing knowledge as governed markdown documents — with hash-chained versioning, a deterministic query language, integrity verification, and full audit trails.

Context governance — not model capability — is the binding constraint on enterprise AI quality. Context Nest solves this by giving AI agents trustworthy, accountable, and auditable knowledge.

## Quick Start

```bash
# Install the CLI
npm install -g @promptowl/contextnest-cli

# Initialize with a starter recipe
ctx init --starter developer
```

### Starter Recipes

Get up and running with a role-specific vault in seconds:

```bash
ctx init --starter developer    # Engineering: architecture, API docs, dev 
Read full README on GitHub →

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