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Solucortex MCP

by soluai-spaversion 1.1.2i★ –iComputer or cloud
Registry nameio.github.soluai-spa/solucortex-mcp

Install

Overview

Description from the maker (original English)

Living technical memory for AI agents: recall approved project context, record what was learned.

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: Computer or cloud
  • Transport: stdio, Streamable HTTP
  • Category: Search & AI memory
  • You need to fill in: SOLUCORTEX_API_KEY, Authorization

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • You fill in yourself: SOLUCORTEX_API_KEY, SOLUCORTEX_PROJECT_ID, Authorization, X-Solucortex-Project

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

You need

  • Runs in the cloudNothing to install; it connects over the internet
  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

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

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Or run it on your computer

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

{
  "mcpServers": {
    "solucortex": {
      "command": "uvx",
      "args": [
        "solucortex-mcp"
      ],
      "env": {
        "SOLUCORTEX_API_KEY": "your-value",
        "SOLUCORTEX_PROJECT_ID": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http solucortex https://mcp.solucortex.ai/mcp --header 'Authorization: your-value' --header 'X-Solucortex-Project: your-value'

Or run it on your computer

claude mcp add solucortex --env SOLUCORTEX_API_KEY=your-value --env SOLUCORTEX_PROJECT_ID=your-value -- uvx solucortex-mcp

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": {
    "solucortex": {
      "url": "https://mcp.solucortex.ai/mcp",
      "headers": {
        "Authorization": "your-value",
        "X-Solucortex-Project": "your-value"
      }
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "solucortex": {
      "command": "uvx",
      "args": [
        "solucortex-mcp"
      ],
      "env": {
        "SOLUCORTEX_API_KEY": "your-value",
        "SOLUCORTEX_PROJECT_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": {
    "solucortex": {
      "type": "http",
      "url": "https://mcp.solucortex.ai/mcp",
      "headers": {
        "Authorization": "your-value",
        "X-Solucortex-Project": "your-value"
      }
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "solucortex": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "solucortex-mcp"
      ],
      "env": {
        "SOLUCORTEX_API_KEY": "your-value",
        "SOLUCORTEX_PROJECT_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 address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

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

Values you fill in

  • SOLUCORTEX_API_KEY secret required env
    SoluCortex project API key (scx_...). Get one at https://solucortex.ai.
  • SOLUCORTEX_PROJECT_ID env
    Default project UUID. Optional: the backend infers it from the API key.
  • Authorization secret required HTTP header
    Bearer . Get one at https://solucortex.ai.
  • X-Solucortex-Project HTTP header
    Default project UUID. Optional: the backend infers it from the API key.

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

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

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 soluai-spa, 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 checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … 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 7258 servers in this category
  • Published to the registry more recently than 39% of the other 7258 servers in this category
  • Basic checks equal to or better than 100% of the other 7258 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 Solucortex MCP 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: SOLUCORTEX_API_KEY, Authorization

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.1.2) reached the registry 2 months 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 today
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 20 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 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.

SoluCortex MCP

Official Model Context Protocol server for [SoluCortex](https://solucortex.ai) — living technical memory for AI agents.

Connect any MCP-compatible agent (Claude Code, Claude Desktop, Cursor, Codex, Cline, …) to your SoluCortex project so it can recall the decisions, conventions, risks and architecture that matter before it works, and remember what it learns when it's done.

Website: solucortex.ai · Setup guide: solucortex.ai/docs/mcp · Tools reference: solucortex.ai/docs/mcp-tools · PyPI: solucortex-mcp · MCP Registry: io.github.soluai-spa/solucortex-mcp

Tools

ToolWhat it doesWhen to use
solucortex_recallBuilds living context for a task (ranked by semantic similarity + importance)At the start of a task, before touching code
solucortex_searchAd-hoc semantic search over the project's memoriesSpecific questions mid-task
solucortex_rememberRecords a memory (stored approved + traced as an authorized agent)At close, or on a relevant technical decision
solucortex_update_memoryCorrects an existing memory — the edit returns it to pending for human re-approval in the panelWhen a memory is right in spirit but wrong in detail
solucortex_flag_memoryFlags a memory as outdated/incorrect with a reason; a human resolves it in the panelWhen a memory should be reviewed, archived or deleted
solucortex_list_memoriesLists memories without semantic searchQuick inspection / audit

Governance by design: agents propose, humans govern. Agents can never change a

memory's status, rewrite its metadata, or delete it — edits go back to pending and

deletions only happen from the SoluCortex panel.

Requirements

  • A SoluCortex account and a project API key (prefix scx_) — get it from your SoluCortex dashboard.
  • One of: uv (recommended), Python ≥ 3.10, or Docker.

Configuration

stdio mode (default, local)

The server is configured entirely through environment variables:

VariableRequiredDescription
SOLUCORTEX_API_KEY✅Project API key (scx_…)
SOLUCORTEX_PROJECT_IDoptionalDefault project UUID; if omitted, the backend infers it from the API key
SOLUCORTEX_URLoptionalAPI base URL. Default https://solucortex.ai
HTTP mode (remote, multi-tenant)

Run with MCP_TRANSPORT=http (or --http) to serve Streamable HTTP on $PORT (default 8080) — the mode behind https://mcp.solucortex.ai. Credentials travel with each request and the environment is ignored:

HeaderRequiredDescription
Authorization: Bearer scx_…✅The caller's project API key (401 without it)
X-Solucortex-ProjectoptionalDefault project UUID; if omitted, the backend infers it from the API key

GET /health (and /healthz locally; Cloud Run's frontend intercepts /healthz) responds without auth. The MCP endpoint is /mcp, runs stateless, and shares nothing between requests/tenants.

Never commit your API key. Keep it in your MCP client config's env block or a local .env (see .env.example).

Install

Remote (recommended — nothing to install)

The hosted server at https://mcp.solucortex.ai/mcp speaks Streamable HTTP; your key travels with each request:

claude mcp add --transport http solucortex https://mcp.solucortex.ai/mcp \

--header "Authorization: Bearer scx_xxx" \ --header "X-Solucortex-Project: your-project-uuid"

Or in any client with remote MCP support:

{

"mcpServers": { "solucortex": { "type": "http", "url": "https://mcp.solucortex.ai/mcp", "headers": { "Authorization": "Bearer scx_xxx", "X-Solucortex-Project": "your-project-uuid" } } } }

Claude Code (local, stdio)
claude mcp add solucortex \

-e SOLUCORTEX_API_KEY=scx_xxx \ -e SOLUCORTEX_PROJECT_ID=your-project-uuid \ -- uvx solucortex-mcp

Claude Desktop / Cursor / Cline (JSON config)

Add to the client's MCP config (claude_desktop_config.json, Cursor mcp.json, etc.):

{

"mcpServers": { "solucortex": { "command": "uvx", "args": ["solucortex-mcp"], "env": { "SOLUCORTEX_API_KEY": "scx_xxx", "SOLUCORTEX_PROJECT_ID": "your-project-uuid" } } } }

From a local clone
git clone https://github.com/soluai-spa/solucortex-mcp

cd solucortex-mcp cp .env.example .env # fill in your key ./run.sh # loads .env, then runs via uv

or, with SOLUCORTEX_* already exported: uv run solucortex-mcp

Docker

Prebuilt image on GHCR:

docker run --rm -i \

-e SOLUCORTEX_API_KEY=scx_xxx \ ghcr.io/soluai-spa/solucortex-mcp:latest

Or build it yourself:

docker build -t solucortex-mcp .

docker run --rm -i \ -e SOLUCORTEX_API_KEY=scx_xxx \ -e SOLUCORTEX_PROJECT_ID=your-project-uuid \ solucortex-mcp

The server speaks MCP over stdio, so clients launch it as a subprocess (-i keeps stdin open).

Instructions for your agent (AGENTS.md)

Once connected, give your agent the methodology too: copy templates/AGENTS.md into the root of your repo (it works as AGENTS.md or CLAUDE.md). The MCP handshake already carries these instructions — the file lets you version them alongside your code, extend them with your own conventions, and optionally enable the commented Claude Code hook recipe for guaranteed recall.

Development

uv sync

uv run solucortex-mcp # run (stdio) MCP_TRANSPORT=http uv run solucortex-mcp # run (HTTP on :8080) uv run pytest # test suite npx @modelcontextprotocol/inspector uv run solucortex-mcp # interactive test

Notes

  • Memory type vocabulary: the canonical set is architecture, decision, risk, convention, bug_history, tech_debt, sensitive_module, learning, external_integration. Some backends accept an older set (technical_decision, historical_bug, current_state, task_closure). The server passes type through and surfaces HTTP 422 so you can retry with the other set.
  • Never store real secrets in a memory. Record location, type, severity and action taken instead.

License

MIT — see LICENSE.

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