Prism Coder

Name: Prism Coder
Author: dcostenco

by dcostencoversion 20.22.4i★ –iRuns on your computer

Registry nameio.github.dcostenco/prism-coder

Install

Overview

Description from the maker (original English)

Session memory for coding agents: local-first recall, drift detection, on-device inference.

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 checksi1 of 1 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 on your computer
Transport: stdio
Category: Search & AI memory
You need to fill in: BRAVE_API_KEY, GEMINI_API_KEY, SUPABASE_KEY

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).
You fill in yourself: BRAVE_API_KEY, GEMINI_API_KEY, SUPABASE_URL, SUPABASE_KEY, PRISM_USER_ID, GCP_PROJECT_ID, VERTEX_LOCATION, VERTEX_DATA_STORE_ID

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "prism-coder": {
      "command": "npx",
      "args": [
        "-y",
        "prism-mcp-server"
      ],
      "env": {
        "BRAVE_API_KEY": "your-value",
        "GEMINI_API_KEY": "your-value",
        "SUPABASE_URL": "your-value",
        "SUPABASE_KEY": "your-value",
        "PRISM_USER_ID": "your-value",
        "GCP_PROJECT_ID": "your-value",
        "VERTEX_LOCATION": "your-value",
        "VERTEX_DATA_STORE_ID": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add prism-coder --env BRAVE_API_KEY=your-value --env GEMINI_API_KEY=your-value --env SUPABASE_URL=your-value --env SUPABASE_KEY=your-value --env PRISM_USER_ID=your-value --env GCP_PROJECT_ID=your-value --env VERTEX_LOCATION=your-value --env VERTEX_DATA_STORE_ID=your-value -- npx -y prism-mcp-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "prism-coder": {
      "command": "npx",
      "args": [
        "-y",
        "prism-mcp-server"
      ],
      "env": {
        "BRAVE_API_KEY": "your-value",
        "GEMINI_API_KEY": "your-value",
        "SUPABASE_URL": "your-value",
        "SUPABASE_KEY": "your-value",
        "PRISM_USER_ID": "your-value",
        "GCP_PROJECT_ID": "your-value",
        "VERTEX_LOCATION": "your-value",
        "VERTEX_DATA_STORE_ID": "your-value"
      }
    }
  }
}

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": {
    "prism-coder": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "prism-mcp-server"
      ],
      "env": {
        "BRAVE_API_KEY": "your-value",
        "GEMINI_API_KEY": "your-value",
        "SUPABASE_URL": "your-value",
        "SUPABASE_KEY": "your-value",
        "PRISM_USER_ID": "your-value",
        "GCP_PROJECT_ID": "your-value",
        "VERTEX_LOCATION": "your-value",
        "VERTEX_DATA_STORE_ID": "your-value"
      }
    }
  }
}

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.

Values you fill in

BRAVE_API_KEY secret env
Brave Search API key for web search tools
GEMINI_API_KEY secret env
Google Gemini API key for AI-powered summarization and embeddings
SUPABASE_URL env
Supabase project URL for session memory and knowledge persistence
SUPABASE_KEY secret env
Supabase service role key for database access
PRISM_USER_ID env
User ID for multi-tenant row-level security isolation (defaults to 'default')
GCP_PROJECT_ID env
Google Cloud project ID for Vertex AI Discovery Engine integration
VERTEX_LOCATION env
Vertex AI location/region (defaults to 'global')
VERTEX_DATA_STORE_ID env
Vertex AI Discovery Engine data store ID for enterprise search

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 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account dcostenco, 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 7243 servers in this category
Published to the registry more recently than 72% of the other 7243 servers in this category
Basic checks equal to or better than 100% of the other 7243 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 Prism Coder 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?

You need to fill in: BRAVE_API_KEY, GEMINI_API_KEY, SUPABASE_KEY

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 (20.22.4) reached the registry 14 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

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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 today

Install

Codebase Memory

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

Runs on your computer★ 48,148MITUpdated 20 days ago

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Exa

by exa-labs

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

Runs in the cloud★ 5,213MITUpdated last month

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.

Prism Coder

Give your AI agent memory that lasts — and see the cloud tokens it never had to spend. Persistent sessions, knowledge graphs, offline tool-routing, and an auditable savings meter. Fully local and free.

Current release: v20.22.5 — local oMLX images and memory accounting

Choose an independent image model from discovered local inventory. Compatible

oMLX servers support controlled PNG image requests with local screening and

generation. Image accuracy depends on the model; Ollama image execution remains

unavailable for the saved image choice. See the oMLX guide.

*Local AI dashboard development preview. Screenshots below use an isolated demo with illustrative inventory and responses; they do not show a live account or prove model accuracy. The npm release may show an earlier interface.*

Prism Coder is an MCP server that gives Claude, Cursor, and other AI tools long-term memory that survives across sessions. It ships with the open-weight prism-coder model fleet (2B–27B) for fast, offline tool-routing — no cloud required. And it keeps score: every call served locally is metered, so prism savings shows the token volume that never reached your cloud model — measured honestly, in tokens.

No account needed. No API keys. Runs on your machine. A paid subscription adds cloud sync, higher model tiers, and team features through the Synalux portal.

What Prism gives you

Session memory that survives restarts — resume projects with handoff notes, recent work, open TODOs, and configurable quick, standard, or deep context.
Local-first inference — local Ollama models use automatic 2B/4B/9B/27B selection based on installed models, available RAM, context fit, and subscription entitlements. Eligible text-only coding can prefer configured oMLX; explicit task choices override the saved backend preference.
A savings meter you can audit — prism savings (or the local_savings tool from any host) reports the token volume local serving kept off your cloud model: headline, local share, per-model breakdown. It reports tokens, never an invented dollar figure, and prints its assumptions and known undercounts inline — a number you can check, not marketing.
Route-output enforcement — route mode returns only well-formed calls to tools the host actually advertised. Standard and higher plans can add authenticated deterministic correction; route_guard: "local" disables that correction only. cloud_fallback: false forbids cloud inference fallback and verify: false (with no evidence) disables the grounding verifier. With all three off, no request carries your prompt, draft or evidence; the per-call entitlement check and telemetry still contact the portal and carry neither.
One setup for every agent — prism connect configures Claude Code, Claude Desktop, Cursor, Gemini CLI, and Codex while preserving unrelated settings.
Subscription-aware skills — entitled skills are synchronized before the host launches, with safe upgrades, downgrades, conflict preservation, and offline last-good recovery.
Hook-free startup — MCP metadata and native instructions request Prism's startup context without requiring lifecycle hooks or a Prism-owned launcher. Where a host offers hooks (Claude Code, Codex), prism connect adds two small ones on top: mid-session prompt routing, and a post-compaction re-injection of the protected-floor digest.
Prompt-triggered Factory — enabled by default for suitable bounded implementation requests with explicit files, an allowed write list, and a verification command. The host starts and monitors the recommended pipeline; BCBA requests stay with the host. A dashboard toggle or PRISM_DARK_FACTORY_ENABLED=false disables Factory after an MCP restart. Try the three-test filename fix.
Safe escalation and observability — inference outcomes are explicit, reserved text remains fail-closed (clinical images are processed locally, never sent to the cloud), and local/cloud usage is recorded for review.

Local AI in the dashboard

Run prism dashboard, open Account & Settings → Local AI, then work through Connection → Models → Test. These controls configure local inference; session memory continues to work without installing a model.

Step	What you do	What to expect
1. Connection	Choose an existing oMLX server or a Prism-managed installation, then Preview connection.	Review the effect on coder, reviewer and image assignments before Use this server switches the shared oMLX connection. Saved model IDs are preserved.
2. Models	Choose coder and reviewer models for each backend and Save coding preference. Save the separate Image model form independently.	Saving records a choice; it does not download or load weights. Missing saved IDs stay visible instead of being silently replaced.
3. Test	Select backend and purpose, then Test saved model.	A small request may load the saved model. The result reports execution or a blocking reason, with no cloud inference fallback.

Coding and review. Auto prefers configured oMLX for eligible coding. You can choose Ollama instead; explicit task choices take precedence. oMLX coding and review need the integration's separate text safety classifier. Local drafts and reviews still need host inspection and tests.

Images have their own choice. Select an oMLX vision model under Image model, then Save image preference. It may be the same model used for coding, but the setting is independent. Refresh image models reads metadata without loading a model. Vision metadata and RAM estimates are advisory; each request repeats compatibility and resource checks. The saved Ollama image option currently refuses execution; leave the image backend Not selected to retain existing image routing.

Read image-test results in two parts. The built-in diagnostic sends a red square. Reference facts describe that known PNG; AI observations contain the model's answer. A wrong answer cannot change the reference. A passing test proves execution, not visual accuracy. User images do not receive catalog facts from this diagnostic. Starting another test or changing backend or purpose clears the previous image result.

Server setup is optional and separate from npm. On supported Apple Silicon Macs, expand Install or update a Prism-managed server to install the server without downloading the optional coding starter pack. Add models through Open oMLX model manager. Installing a server update does not restart it or switch your connection. Restart managed server interrupts local inference and is available only when Prism can establish managed ownership and idle activity. External servers use their own upgrade and restart procedure.

Updating the Prism npm package or restarting your AI client does not upgrade an external oMLX server. If image status says Server update required, follow the existing-server upgrade guide. Tested Prism-compatible source identifies the compatible revision; Latest upstream releases is for release notes and may lack Prism's routes. See the oMLX guide for requirements and troubleshooting.

Get started

Memory search automatically applies ACT-R ranking: relevance plus recency, frequency and memory associations. No upvote or prompt instruction is required. To opt out, use Account & Settings → Preferences → Automatic Memory Ranking (ACT-R), then restart your AI client. PRISM_ACTR_ENABLED=false also disables it. This ranking is separate from the neural graph's stored importance filter.

npm install -g prism-mcp-server

prism connect prism dashboard

Use prism connect --dry-run to preview changes, prism connect --all to configure every detected host, or prism connect --refresh to reconcile Prism-managed entries after an upgrade. Restart the host after connecting.

prism dashboard opens the current local Mind Palace without a Synalux login. Prism works locally without an account, API key, or cloud subscription. Add a Synalux subscription when you want cloud memory, paid-tier skills, or team features.

To check your plan, open ⚙ Account & Settings → Account in the dashboard. Free users see Start 14-day trial; paid users see Manage subscription. During a trial, the same panel shows the paid tier and exact end date. No card is required to start. Add payment details before the end date to continue; if you do not, the subscription cancels and local Prism Free remains available. You can also compare plans directly at synalux.ai/pricing#prism-plans.

After a few sessions, ask what it's been worth:

prism savings --period month

💾 Local serving — LAST 30 DAYS

~510K tokens kept off your cloud model 53 call(s) served locally of 58 routed (91%)

Your numbers will differ — that's the point: it reports what *your* machine actually served, not a projection. Full report anatomy and the honesty rules behind it are in the local_savings section.

Install as a plugin

Prism also ships as a plugin, which registers the MCP server and the startup skill for you.

Both hosts install straight from this repository. There is nothing to host and no server to run: the catalogue is the .claude-plugin/marketplace.json file committed here, and your client clones it from GitHub.

Claude Code:

claude plugin marketplace add dcostenco/prism-coder

claude plugin install prism-coder@prism

Codex:

codex plugin marketplace add dcostenco/prism-coder

codex plugin add prism-coder@prism

The plugin registers prism-mcp via npx -y prism-mcp-server. If you already configured Prism by hand — prism connect writes an mcp_servers.prism-mcp entry — you have that server twice under one key. Install the plugin or run prism connect, not both.

What `prism connect` changes about host subagents

connect steers bounded work to prism_infer on your machine rather than to host-spawned agents. What it writes differs per host, and it does not disable subagents everywhere — Claude Code keeps them and is pointed at an economy model instead. Prism's local workers stay available over MCP in every case.

Host	Setting written	Effect
Claude Code	`env.CLAUDE_CODE_SUBAGENT_MODEL = "sonnet"` in `~/.claude/settings.json`	Subagents stay enabled, pinned to an economy model. Fan-out is discouraged by policy text, not by config

| Gemin

Only the beginning is shown; read the rest in the repo

Prism Coder

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

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

Prism Coder

What Prism gives you

Local AI in the dashboard

Get started

Install as a plugin

What prism connect changes about host subagents

What `prism connect` changes about host subagents