orgspec
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Alternatives to orgspec
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Related Servers
- AlicenseNot gradedqualityCmaintenanceA Model Context Protocol server that gives AI agents bounded, auditable access to propose changes to an Obsidian vault stored in GitHub, with per-agent expiring tokens, read/write/deny path policies, mutability rules, frontmatter checks, and human-reviewed proposal branches.9 npm2Apache 2.0
- FlicenseNot gradedqualityDmaintenanceGit-native MCP server for managing AI context across sessions. Enables LLMs to access project and feature context via markdown files, preserving decisions and constraints.1-
- FlicenseNot gradedqualityBmaintenanceMCP server for Agent Context OS that compiles engineering docs into a knowledge graph, detects code drift, and serves token-budgeted context packs to AI coding agents via MCP.-
- AlicenseNot gradedqualityAmaintenanceLocal-first MCP server that provides project context, verification gates, and structured tools for coding agents to discover knowledge, run diagnostics, and execute allowlisted commands within a repository.23 npmMIT
- AlicenseNot gradedqualityAmaintenanceMCP server that helps coding agents research and prepare GitHub contributions by gathering repository guidance, related work, code context, and validation evidence into a local SQLite corpus, without ever writing to GitHub.384 npm3MIT
- AlicenseNot gradedqualityAmaintenanceMCP server that aggregates documentation and code context across GitHub repositories, auto-generates a system map from Backstage catalog files, and provides search capabilities for docs, code, issues, and API schemas to AI agents.8 npmMIT
TDQS
Scored across 4 tools
get_context(path) and fetch both read a single context file, so a model could be unsure which to use; get_context's no-argument entry-point behavior and fetch's 'file id from search' purpose do differentiate them somewhat. search and propose_context_change are clearly distinct.
get_context and propose_context_change follow a verb_noun pattern, while search and fetch are bare verbs, producing a mixed but readable convention. The names are not chaotic, but they do not form a fully predictable pattern.
Four tools is a well-scoped set for an organizational context repository: an entry point, a search mechanism, an exact file reader, and a change proposal action. None feel gratuitous, and the count is comfortably within the ideal range.
The surface covers the core workflow: start from context, search/fetch existing files, and propose coherent changes. There is no direct create/update/delete tool outside propose_context_change, but that appears intentional for a human-reviewed context repo, so the gap is minor.