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Tacitus MCP Server

by ionasrobertversion 0.1.3i★ –iRuns on your computer
Registry nameio.github.ionasrobert/tacitus-mcp-server

Install

Overview

Description from the maker (original English)

Long-term memory for AI agents: local-first PKM with provenance and hybrid search.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "tacitus": {
      "command": "npx",
      "args": [
        "-y",
        "@dashiro/tacitus-mcp-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add tacitus -- npx -y @dashiro/tacitus-mcp-server

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "tacitus": {
      "command": "npx",
      "args": [
        "-y",
        "@dashiro/tacitus-mcp-server"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "tacitus": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@dashiro/tacitus-mcp-server"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account ionasrobert, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 5653 servers in this category
  • Published to the registry more recently than 84% of the other 5653 servers in this category
  • Basic checks equal to or better than 100% of the other 5653 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Tacitus MCP Server safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.3) reached the registry 7 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Tacitus

Long-term memory for your AI agents — local-first, with provenance.

Tacitus is an MCP server that turns any folder of Markdown notes into an agent-native knowledge base. It gives AI agents (Claude Code, Claude Desktop, and any MCP client) three things they actually need:

  1. Memory with provenance — typed, queryable long-term memory. Every fact carries its source and is returned within a token budget; contradictions are surfaced, not silently resolved.
  2. Retrieval that fits the context window — search returns ranked snippets (never whole notes) under a token budget; get_note discloses progressively (outline → frontmatter → full); the wikilink graph is a queryable API. Hybrid lexical + semantic search, with an optional neural embedder.
  3. Safe write-back — propose a changeset, preview the diff, commit atomically, and revert by version. Read-only scope forbids mutations; every write is audited.

Notes stay as plain .md files in your folder. No cloud, no lock-in.

*Recorded from a real session — the memory id, changeset id, version id and audit line above are what the binary actually returned (how).*

Quick start

npx -y @dashiro/tacitus-mcp-server /path/to/your/vault
Claude Code
claude mcp add tacitus -- npx -y @dashiro/tacitus-mcp-server /path/to/your/vault
Claude Desktop (claude_desktop_config.json)
{

"mcpServers": { "tacitus": { "command": "npx", "args": ["-y", "@dashiro/tacitus-mcp-server", "/path/to/your/vault"] } } }

Native binary (no Node)

Prefer a single, zero-dependency binary? The Rust server ships prebuilt for macOS, Linux, and Windows on every release.

# macOS / Linux — installs `tacitus-mcp` into your Cargo bin dir

curl --proto '=https' --tlsv1.2 -LsSf \ https://github.com/ionasrobert/tacitus-mcp-server/releases/latest/download/tacitus-mcp-installer.sh | sh

# Windows (PowerShell)

irm https://github.com/ionasrobert/tacitus-mcp-server/releases/latest/download/tacitus-mcp-installer.ps1 | iex

Or grab a .tar.xz / .zip for your platform from the latest release. Then point any MCP client at the binary instead of npx:

claude mcp add tacitus -- tacitus-mcp /path/to/your/vault

The native binary is the flagship server (25 tools; the npm server has the core 16 — see the table below). Both share the same on-disk formats, so a vault works with either. Set TACITUS_SCOPE=read-only to run the native server without write permissions.

Tools

GroupTools
Memoryremember, recall, forget
Retrievalsearch, get_note, graph_query, list_notes, properties_query*
Write-backpropose_changes, commit_changes, revert, rename_note*, delete_note*, get_version*
Conveniencecreate_note, update_note, link, tag, audit_log
Templateslist_templates*, create_from_template*
Taskslist_tasks*, toggle_task*
Metacapabilities

\* Native-Rust-server first (the npm server will catch up): properties_query — Bases-like structured queries over YAML frontmatter (filters eq|ne|contains|exists|not_exists|gt|lt|gte|lte, sort, select, token_budget). Templates — Markdown files in .tacitus/templates/ whose {{var}} placeholders form a schema; substitution happens before YAML parsing so numeric vars stay typed, {{date}}/{{time}}/{{datetime}} auto-fill, and creation is versioned + audited like any agent write. Tasks — every checklist line (- [ ]) as a typed entity (done, due from due:YYYY-MM-DD or 📅, #tags), queryable and toggleable; toggling takes the task text as a concurrency guard so a stale caller gets a CONFLICT instead of flipping the wrong task. rename_note retargets every wikilink that resolves to the note (alias/heading kept) in one atomic changeset — a single revert undoes the whole rename; delete_note is versioned too.

Every tool validates input with a schema and returns structured, actionable errors ({ code, reason, suggestion }) rather than stack traces.

For developers: plugins & integrations

In Tacitus, a plugin is an MCP client — the tool contract above is the public API, with permission scoping, versioning, and audit built in.

  • docs/PLUGINS.md — integration guide: connect an agent, write a plugin in Python/TypeScript, embed the Rust engine, plugin patterns
  • TypeScript SDK — @dashiro/tacitus-sdk: every tool as a typed method, {code, reason, suggestion} errors thrown as TacitusToolError:
  const tacitus = await TacitusClient.spawn({ vault: '/path/to/vault' });

const hits = await tacitus.search({ query: 'client X', token_budget: 500 });

- **Sandboxed WASM plugins (experimental)** — crate `tacitus-plugins` runs

guest wasm under Wasmtime with manifest-declared permissions (tool allowlist

  • scope), fuel and memory limits, no WASI: tacitus.call *is* tools/call. The native binary embeds the runtime: tacitus-mcp plugin list|run for cron agents and scripts. See docs/PLUGINS.md §5
  • docs/MCP_API.md — full reference for all 25 tools (params, returns, error codes)
  • Neural search (opt-in): TACITUS_EMBEDDER=ollama uses a local Ollama daemon for embeddings (TACITUS_OLLAMA_EMBED_MODEL, default nomic-embed-text; needs an Ollama with embedding support). Vectors cached in .tacitus/vectors/; falls back to the deterministic hashing embedder when unavailable.
  • docs/SYNC.md — Sync (beta): E2E-encrypted CRDT sync between devices (tacitus-mcp sync init; sync status shows how much of the relay quota a vault uses)
  • docs/DATA_FORMAT.md — the on-disk format (.tacitus/ internals, stable ids, note conventions)
  • examples/ — three complete plugins (Python read-only analyzer, Node daily-note cron agent, sandboxed WASM guest), tested against the binary
What the sync relay can see

Left: two devices, plain Markdown. Right: everything the relay stores for that vault. Those blobs were read out of a real log.jsonl after the recording — no note title, no path, no plaintext. The vault code is the key and never leaves your devices; lose it and the relay's copy is undecryptable forever.

The relay is MIT like everything else — self-host it with no limits, or use the hosted one at sync.tacitus.md: free up to 100 MB per vault, Pro 1 GB for €5/month or €48/year (tacitus.md/#pro). No account — Pro is bought per vault id.

Semantic search (optional neural embeddings)

search defaults to hybrid mode (lexical + a deterministic, offline embedder that catches morphological variants). For synonym/paraphrase matching, opt into a neural embedder:

npm i @huggingface/transformers

TACITUS_EMBEDDER=transformers npx @dashiro/tacitus-mcp-server /path/to/vault

Vectors are cached under .tacitus/vectors/. Falls back to the deterministic embedder if the optional dependency or model isn't available.

How it stores things

your-vault/

├── notes... ← your Markdown files (untouched format) └── .tacitus/ ├── memory/*.md ← agent memories (Markdown + YAML frontmatter) ├── vectors/*.json ← cached embeddings ├── history/*.json ← version snapshots (for revert) └── audit.log ← JSONL log of every agent write

Development

Polyglot monorepo. The reference server (shipped on npm) is TypeScript in packages/mcp-server. A native Rust server in crates/ provides a single-binary, zero-runtime-deps build (crates/tacitus-core engine + crates/tacitus-mcp rmcp server) — a superset of the TS server (25 vs 16 tools). Its stable_id matches the TS engine byte-for-byte, so memory ids are identical across both engines.

# TypeScript server

npm ci npm test # vitest npm run typecheck npm run lint npm run build # tsup → packages/mcp-server/dist npm run eval # retrieval quality report

Rust server (native, single binary)

cargo test cargo clippy --all-targets -- -D warnings cargo fmt --check cargo run -p tacitus-mcp -- /path/to/vault # runs the MCP server on stdio cargo build --release # → target/release/tacitus-mcp

Cross-platform release binaries are built and published to GitHub Releases by cargo-dist (dist-workspace.toml + .github/workflows/release.yml) on every v* tag.

License

MIT — see LICENSE.

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