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MCP verified MIT Self-run

Obsidian Agentic Resource Discovery Server

mcp-dsebastien-obsidian-agentic-resource-discovery-server · by dsebastien

An Obsidian plugin that enables configuring and exposing agentic resources based on the Agentic Resource Discovery Specification

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Install

$ agentstack add mcp-dsebastien-obsidian-agentic-resource-discovery-server

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
1mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Agentic Resource Discovery Server

Turn your Obsidian vault into a local-first Agentic Resource Discovery (ARD) publisher and Agent Registry. The plugin scans your AI Skills, builds a rich ai-catalog.json, and runs a localhost server so AI agents on your machine can discover and fetch exactly the skill they need — by natural-language search — without those skills ever leaving your computer.

> Built for people who have accumulated dozens or hundreds of AI Skills and MCP servers and don't want to load them all into every agent's context window. Instead of registering everything everywhere, publish them to a local catalog and let agents search it.

What it does

  • Scans your skill folders (Anthropic Agent Skill format — SKILL.md + frontmatter) at startup, without blocking Obsidian, and turns each skill into a rich catalog entry: description, tags, capabilities, and synthesized example queries.
  • Serves an ARD registry over http://127.0.0.1 with a required bearer token:
  • GET /.well-known/ai-catalog.json — the public catalog
  • POST /search — natural-language search, results ranked 0–100 by relevance
  • GET /agents — deterministic, paginated listing
  • GET /skills//SKILL.md (and bundled assets) — so an agent can fetch a skill's body and resources directly
  • Exposes an MCP endpoint (POST /mcp) using the Code Mode pattern: search, get_skill, and execute tools, where execute runs sandboxed JavaScript against the catalog so an agent can filter and aggregate in a single call.
  • Adds zero mandatory downloads. The default search backend is an in-process BM25 index (MiniSearch) — no model, no network. Optionally, point it at a local embedding server you already run (Ollama, LM Studio, …) for hybrid semantic search; nothing is bundled or downloaded by the plugin, and it falls back to lexical if the server is down.

Status

Early but functional. The REST registry, skill scanning/enrichment, skill file serving, the MCP Code Mode endpoint, and optional semantic search (local or hosted embedding server) all work and are covered by 200+ tests. See the [technical docs](documentation/) for the architecture and design.

isDesktopOnly — the plugin needs Node's HTTP server and filesystem access.

Install (manual / pre-release)

This plugin isn't in the community catalog yet. To try it:

  1. Build it: bun install && bun run build (see [DEVELOPMENT.md](DEVELOPMENT.md)).
  2. Copy manifest.json, main.js, and styles.css into /.obsidian/plugins/agentic-resource-discovery-server/.
  3. Enable Agentic Resource Discovery Server in Obsidian → Settings → Community plugins.

Quick start

  1. Open the plugin settings.
  2. Under Skill folders, add one or more folders that contain skills (each skill is a subfolder with a SKILL.md). Folders may live outside the vault.
  3. Click Rescan skills now. The status line shows how many skills were indexed.
  4. Copy the bearer token from the Server section.
  5. Point an agent at the registry:
# The public catalog needs no auth:
curl http://127.0.0.1:27182/.well-known/ai-catalog.json

# Search needs the bearer token:
curl -X POST http://127.0.0.1:27182/search \
  -H "Authorization: Bearer " \
  -H "Content-Type: application/json" \
  -d '{"query":{"text":"summarize a long note"}}'

To use it as an MCP server, point your MCP client at http://127.0.0.1:27182/mcp with the bearer token. See the [user guide](docs/usage.md) for details.

Documentation

  • [User guide](docs/usage.md) — usage, [configuration](docs/configuration.md), [tips](docs/tips.md).
  • [Technical docs](documentation/) — [architecture](documentation/Architecture.md), [domain model](), and [business rules]().
  • [Contributing](CONTRIBUTING.md) · [Development](DEVELOPMENT.md)

Privacy & security

Everything stays on your machine: the server binds to 127.0.0.1 only, every endpoint except the public catalog requires a bearer token, skill file serving is confined to your configured folders (path-traversal-safe), and the execute sandbox has no network or filesystem access. No telemetry, no cloud.

License

[MIT](LICENSE) — by Sébastien Dubois. If this is useful, you can buy me a coffee ☕.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.