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Knowledge To Action

БесплатноНе проверен

Turn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.

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Описание

Turn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.

README

Turn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.

CI npm version License: MIT

Knowledge-to-Action MCP

knowledge-to-action-mcp is an MCP server for people whose real project context lives in notes, decisions, roadmaps, and meeting docs, not just code.

Most Obsidian MCP servers stop at "read a note" or "search a vault."

This one goes further:

notes -> retrieval -> context packet -> action plan -> repo handoff

That means an MCP client can move from:

"open this markdown file"

to:

"understand the note, pull nearby context, summarize risks,
propose next steps, and show which repo files probably matter"

Why It Matters

If you work out of Obsidian, your important context is usually spread across:

  • roadmap notes
  • meeting notes
  • decisions
  • linked references
  • repo assumptions

Normal note integrations make an agent read those files.

knowledge-to-action-mcp helps an agent recover the surrounding context and turn it into something actionable without exposing a general shell runner.

What Makes It Different

Capability Typical vault MCP knowledge-to-action-mcp
Read notes Yes Yes
Search notes Yes Yes
Follow links / backlinks Sometimes Yes
Graph-aware context recovery Rarely Yes
Optional embeddings Rarely Yes
Agent-ready context packet No Yes
Preview-only plan from note No Yes
Note-to-repo handoff No Yes
General shell access Sometimes No

1-Minute Quickstart

Install:

npm install @tac0de/knowledge-to-action-mcp

Run in graph-only mode:

OBSIDIAN_VAULT_ROOT="/path/to/vault" \
npx @tac0de/knowledge-to-action-mcp

Turn on optional embeddings and planning:

OBSIDIAN_VAULT_ROOT="/path/to/vault" \
EMBEDDINGS_ENABLED=true \
PLANNING_ENABLED=true \
OPENAI_API_KEY="..." \
npx @tac0de/knowledge-to-action-mcp

Then call:

  • context.retrieve
  • context.bundle_for_agent
  • action.plan_from_note
  • action.handoff_to_repo

See also:

What You Actually Get

1. Obsidian-aware retrieval

  • deterministic note listing, reading, and search
  • wikilink resolution
  • backlinks
  • shared-tag neighbors
  • graph-aware context recovery

2. Optional GraphRAG

When embeddings are enabled, retrieval becomes:

lexical + graph + semantic rerank

No external graph database is required.

3. Agent-ready context packets

context.bundle_for_agent returns a structured packet instead of dumping raw markdown into a prompt.

That packet includes:

  • brief
  • key facts
  • open questions
  • risks
  • related notes
  • repo hints

4. Preview-only action planning

action.plan_from_note turns a note into:

  • summary
  • goals
  • constraints
  • decisions
  • open questions
  • suggested actions
  • handoff prompt

It does not mutate files.

5. Safe repo handoff

action.handoff_to_repo connects note context to a workspace using:

  • bounded ripgrep queries
  • bounded git status
  • matched file suggestions

This is intentionally not a general-purpose shell runner.

Example Workflow

Imagine you have these notes:

  • roadmap/search.md
  • meetings/2026-03-07-search-review.md
  • decisions/search-scope.md

And a repo with:

  • src/search.ts
  • src/features/search/index.ts

This MCP can help an agent:

  1. Retrieve nearby notes with search, backlinks, tags, graph neighbors, and optional embeddings.
  2. Compress that note cluster into a structured context packet.
  3. Turn the source note into a preview-only action plan.
  4. Suggest likely repo files before any edit happens.

That jump from "read notes" to "prepare action safely" is the whole point.

Demo Assets

If you want something concrete before wiring your own vault:

Public Tools

Vault + Graph

  • vault.list_notes
  • vault.read_note
  • vault.search_notes
  • vault.get_metadata
  • graph.build
  • graph.get_neighbors
  • graph.get_backlinks
  • context.gather

Retrieval + Planning

  • embeddings.index_vault
  • context.retrieve
  • context.bundle_for_agent
  • action.plan_from_note
  • action.handoff_to_repo

Workspace Inspection

  • exec.list_capabilities
  • exec.rg_search
  • exec.list_dir
  • exec.git_status

Example Output

context.bundle_for_agent:

{
  "brief": "Implement search using the existing dashboard flow.",
  "source": "roadmap/search.md",
  "keyFacts": [
    "Title: Search",
    "Tags: roadmap,search"
  ],
  "openQuestions": [
    "Where is the current search entrypoint?"
  ],
  "risks": [
    "Assumption: repo layout may differ from note context"
  ],
  "repoHints": {
    "matchedFiles": [
      "src/search.ts",
      "src/features/search/index.ts"
    ],
    "suggestedQueries": [
      "Search",
      "search"
    ]
  }
}

action.plan_from_note:

{
  "source": "roadmap/search.md",
  "summary": "Implement search using the existing dashboard flow.",
  "goals": [
    "Ship dashboard search"
  ],
  "constraints": [
    "No mutation without explicit approval"
  ],
  "openQuestions": [
    "Where is the current search entrypoint?"
  ],
  "suggestedActions": [
    "Review matched repo files",
    "Resolve open questions before implementation"
  ],
  "generationMode": "deterministic"
}

Configuration

Required

  • OBSIDIAN_VAULT_ROOT

Optional embeddings

  • EMBEDDINGS_ENABLED=false
  • EMBEDDING_PROVIDER=openai
  • EMBEDDING_MODEL=text-embedding-3-small
  • EMBEDDING_SQLITE_PATH=.knowledge-to-action-mcp/index.sqlite
  • OPENAI_API_KEY=...

Optional planning

  • PLANNING_ENABLED=false
  • PLANNING_PROVIDER=openai
  • PLANNING_MODEL=gpt-4.1-mini

Optional workspace inspection

  • EXECUTION_ENABLED=false
  • EXECUTION_CAPABILITIES=workspace.search,workspace.inspect,workspace.git_status
  • EXECUTION_TIMEOUT_MS=5000
  • EXECUTION_MAX_OUTPUT_BYTES=32768

Install In MCP Clients

Example stdio config:

{
  "command": "npx",
  "args": ["-y", "@tac0de/knowledge-to-action-mcp"],
  "env": {
    "OBSIDIAN_VAULT_ROOT": "/path/to/vault"
  }
}

VS Code

Add to .vscode/mcp.json:

{
  "servers": {
    "knowledge-to-action": {
      "command": "npx",
      "args": ["-y", "@tac0de/knowledge-to-action-mcp"],
      "env": {
        "OBSIDIAN_VAULT_ROOT": "/path/to/vault"
      }
    }
  }
}

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "knowledge-to-action": {
      "command": "npx",
      "args": ["-y", "@tac0de/knowledge-to-action-mcp"],
      "env": {
        "OBSIDIAN_VAULT_ROOT": "/path/to/vault"
      }
    }
  }
}

Security Boundary

This package is designed to be useful without turning into a local shell bomb.

  • vault access is read-only
  • plan generation is preview-only
  • embeddings are optional and local
  • repo inspection is bounded to the configured working directory
  • no generic bash.exec or arbitrary command tool is exposed

Good Fit

Use this project if you want:

  • Obsidian-native GraphRAG
  • note-to-action workflows for agents
  • structured context instead of giant markdown dumps
  • repo-aware handoff without broad execution access

Not Trying To Be

  • a general purpose agent runtime
  • a write-enabled automation framework
  • a hosted knowledge platform
  • a vector database product

Compatibility

  • package name: @tac0de/knowledge-to-action-mcp
  • legacy CLI alias: obsidian-mcp
  • Node.js 20+

Status

v2.1.1 is usable now:

  • typecheck passes
  • unit and integration tests pass
  • npm pack dry-run passes

The project is still early, but the main workflow is already working.

License

MIT

from github.com/tac0de/knowledge-to-action-mcp

Установка Knowledge To Action

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/tac0de/knowledge-to-action-mcp

FAQ

Knowledge To Action MCP бесплатный?

Да, Knowledge To Action MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Knowledge To Action?

Нет, Knowledge To Action работает без API-ключей и переменных окружения.

Knowledge To Action — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Knowledge To Action в Claude Desktop, Claude Code или Cursor?

Открой Knowledge To Action на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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