Tephra

Name: Tephra
Author: andylang598

by andylang598version 1.0.2i★ –iRuns in the cloud

Registry nameio.github.andylang598/tephra

Install

Overview

Description from the maker (original English)

Shared memory for your AI tools: top-5 recall 98.9% on answerable LongMemEval-S questions. Premium.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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 in the cloud
Transport: Streamable HTTP
Category: Search & AI memory

Install

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

Before you install

Basic checks: 3 of 3 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://tephra.obsidian-metrics.com/mcp

Run this in your terminal

claude mcp add --transport http tephra https://tephra.obsidian-metrics.com/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "tephra": {
      "url": "https://tephra.obsidian-metrics.com/mcp"
    }
  }
}

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": {
    "tephra": {
      "type": "http",
      "url": "https://tephra.obsidian-metrics.com/mcp"
    }
  }
}

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.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://tephra.obsidian-metrics.com/mcp

Menu names can differ slightly by plan and over time.

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

The server asks you to sign in before it lists its tools.

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 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account andylang598, 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
✓ Pass
Endpoint responds
Responded in 171 ms (HTTP 401)
✓ Pass
Sign-in with OAuth
Declares OAuth sign-in, so your AI app can take you to log in
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

More stars than 0% of the other 5676 servers in this category
Published to the registry more recently than 76% of the other 5676 servers in this category
Basic checks equal to or better than 100% of the other 5676 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 Tephra safe?

It passed 3 of 3 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.2) reached the registry 12 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

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.

Tephra MCP

Documentation and config examples for Tephra, a hosted remote MCP server: one memory your AI tools share, tied to your account. Tools you connect recall from it and add to it. Besides documentation and configuration examples, it holds a small optional stdio bridge (bin/, test/, package.json, MIT) for AI apps that only speak stdio. Tephra itself is a paid hosted service by Obsidian Metrics.

Server URL (Streamable HTTP): https://tephra.obsidian-metrics.com/mcp
Connecting: add the server URL. Clients that support MCP OAuth sign in with your Obsidian account from the client; for others, use a personal AI key (tpk_...). Sign-in support varies by client, so check the connect guide for yours.
Connect guide: CONNECT.md and https://tephra.obsidian-metrics.com/connect
Registry metadata: server.json; client config examples: mcp-config-examples.json

Features

One memory your AI tools share. The connect page has steps for Claude (claude.ai, Desktop and mobile), ChatGPT, VS Code (GitHub Copilot), Cursor, Claude Code, Gemini CLI, Windsurf, Zed, Mistral Le Chat, Perplexity and any other app that can add a remote MCP server. Each connected tool recalls from the same memory and adds to it.
Three MCP tools (a read-only key gets only the first two):
tephra_recall: ranked recall over your memory plus the shared library. query up to 4000 characters; limit 1-50 (default 10); optional keywords (up to 20 exact terms for the keyword arm), mode (semantic, keyword or hybrid) and reader_order: "chronological" (same rows oldest-first, each dated).
tephra_search: plain semantic search over the same memory, without recall's ranking extras. query up to 4000 characters; limit 1-100 (default 10).
tephra_remember: save one memory to your own account, never to the shared library. text up to 8000 characters; optional region (leave it out and Tephra files it), up to 10 tags, importance 1-5 (default 3). Tephra adds a via-ai-key tag and reports when the memory was already stored.
Tephra's directions on MCP: recall, search and remember results can include a block with the same guidance Tephra's REST API returns: a recall-then-save directive, a warning (flagged blocked) when a save was made without a recent recall, a completeness note, the summary sheet and the "you may be missing" list. The summary sheet, the missing list and alerts index stored records and are fenced and labelled as data, not instructions. The server's initialize instructions ask the AI to call tephra_recall before answering questions that may depend on saved context and tephra_remember to save durable facts; the AI still decides when to call the tools.
Hybrid recall: bge-m3 semantic search and a keyword arm fused by reciprocal rank, a cross-encoder rerank, and a bounded two-hop walk over linked memories.
Account-scoped by default: each member is their own tenant; everything a member saves is tied to their account and is not visible to other members.
Shared library: public knowledge (no member data), grown hourly from sources such as arXiv, PubMed, Federal Register and Crossref/OpenAlex; recall draws on it alongside your own memories.
Control and audit: up to 10 active AI keys, each revocable, optionally read-only, with its own activity log; a connected-apps panel to disconnect OAuth apps; edit history, edit/delete/contest a memory, data export (app).
Prompt-injection hardening on key/MCP results: invisible characters stripped, records capped at 4000 characters, results wrapped as notes-not-instructions.
Remote streamable-HTTP MCP, hosted on Cloudflare Workers; nothing to self-host; the stdio bridge below is optional.

Optional stdio bridge

Most AI apps connect to Tephra directly with the server URL above. For an app that only speaks stdio, this repository ships a bridge (bin/tephra-mcp.mjs, MIT) that starts mcp-remote (pinned to 0.15.2, published 2026-10-20 with GitHub provenance) pointed at https://tephra.obsidian-metrics.com/mcp:

npx -y github:andylang598/tephra-mcp#v1.0.0

Only this github: form is official; the names tephra-mcp and tephra-mcp-bridge are not registered on npm. Use the tag, not the default branch: npm ignores this repository's lockfile for git installs, so mcp-remote is exact but its own dependencies resolve within their version ranges when you install (the committed package-lock.json applies to npm ci from a clone). npx -y github:andylang598/tephra-mcp#v1.0.0 --print-config shows the one URL the bridge would use without connecting.

Sign-in is Tephra's own OAuth 2.1 flow, run by mcp-remote in your browser. The bridge's own code never handles a password, key or token. mcp-remote keeps the sign-in tokens it receives in ~/.mcp-auth on your machine (owner-only file mode); delete that folder to sign out.
The bridge accepts one MCP URL, https://tephra.obsidian-metrics.com/mcp, and refuses any other host, scheme, port or path, and any argument except --print-config. The child process inherits your environment, so proxy and certificate settings you have set apply to it.
The mcprush security grade for Tephra covers this bridge's source and its dependency tree as installed. It is not a review of the Tephra service, which runs at its own address.
Tests: npm test from a clone (offline). Node 20.18.1 or newer.

Limits

Tephra is a paid product: no free tier. Access is Premium ($19/mo at the member rate through the Obsidian Metrics community, $29/mo direct) or a $399 one-time Tephra seat with no subscription; no usage metering. Keys and connections pause if the membership lapses.
Rate limits: 60 requests per minute per AI key or connected app, plus a member-wide cap of 120 per minute.
The AI must call tephra_remember; Tephra does not auto-capture chats and has no Gmail/Slack/Drive connectors.
No image/audio ingest. Members cannot publish into the shared library.

Benchmark

LongMemEval-S, all 500 questions, top-10 retrieval, gpt-4o-2024-08-06 judge, one run: 85.2% with a gpt-4o reader; 95.2% with a Claude Opus 5.5 reader (run via Claude Code sub-agents); same retrieval. Retrieval had at least one needed session in the top 10 for 467 of 470, and all needed sessions for 435. Not a ranking.

Tephra

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

Tephra MCP

Features

Optional stdio bridge

Limits

Benchmark