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Solucortex MCP Server

by soluai-spa Your server? Claim it
answering

Solucortex MCP is answering right now. Last checked 13 min ago. 102 installs a week from pypi. It exposes 6 tools. Last commit 6 Oct 2026.

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

Installs per day peak 46 · avg 20 · -33% w/w
a month agotoday
Uptime history 69 days of history
69 days agonow
100.0%
Uptime 24h
91 of 91 checks
6
Tools
read from the server
421 ms
Response time
average over 24h
102
Installs / week
npm and PyPI

Nothing serious here today

Today is the operative word: we check Solucortex MCP every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 13 min ago.

run in your terminal
claude mcp add solucortex-mcp --transport http https://mcp.solucortex.ai/mcp
Settings → Connectors → Add custom connector, then paste this address
https://mcp.solucortex.ai/mcp
~/.codex/config.toml
[mcp_servers.solucortex-mcp]
url = "https://mcp.solucortex.ai/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "solucortex-mcp": {
      "url": "https://mcp.solucortex.ai/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "solucortex-mcp": {
      "type": "http",
      "url": "https://mcp.solucortex.ai/mcp"
    }
  }
}

Available tools 6

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

solucortex
solucortex_flag_memory
Flag a memory as outdated/incorrect (POST /memories/{id}/flag). The memory is marked for human review in the SoluCortex panel; nothing is deleted or unpublished. ALWAYS tell the user a memory awaits their decision in the panel. Deletion is human-only by design.
solucortex_list_memories
List the project's memories without semantic search (GET /memories). Useful for quick inspection/audit or to confirm a just-created memory was stored. Does not consume OpenAI quota.
solucortex_recall
Build living context for a task (POST /context/build). Call this at the START of a task, before touching code: returns approved, active memories (decisions, conventions, risks, sensitive modules, architecture) ranked by semantic similarity + importance. Uses OpenAI embeddings (slower, 20 req/min).
solucortex_remember
Record a memory in SoluCortex (POST /memories). Call when closing a task or making a relevant technical decision. As an authorized agent (Bearer api_key), the memory is stored with status 'approved' and traced. Never store real secrets: if you find one, record location/type/severity and action taken, with a redacted reference.
solucortex_search
Ad-hoc semantic search of memories (POST /search/semantic). Use for specific questions during a task (e.g. 'how is authentication implemented?'), distinct from recall which builds the full startup context. Uses OpenAI embeddings (20 req/min).
solucortex_update_memory
Correct an existing memory (PATCH /memories/{id}). Agents propose, humans govern: the edit is applied but the memory returns to PENDING until a human re-approves it. ALWAYS tell the user the change awaits their approval in the SoluCortex panel. Status changes are not possible here.

Endpoints

URLTransportStateLatencyChecked
https://mcp.solucortex.ai/mcp streamable-http answering 342 ms 13 min ago

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Solucortex MCP — questions

Answers built from our own checks of this server.

What can Solucortex MCP do?
It exposes 6 tools, read directly from the server on our last check. Among them: solucortex_flag_memory, solucortex_list_memories, solucortex_recall, solucortex_remember, solucortex_search, solucortex_update_memory. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Solucortex MCP working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 421 ms. The bar chart above shows every period we have measured.
How do I connect Solucortex MCP?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Solucortex MCP need an API key?
No. Solucortex MCP completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 6 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Solucortex MCP?
It answers our handshake in 421 ms on average, which is faster than 31% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use Solucortex MCP?
The pypi package solucortex-mcp was installed 102 times in the last week. Week over week that is -33%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Solucortex MCP open source?
The code is open source: it is published under the MIT licence, written in Python and 0 stars on GitHub. The licence covers the code in the repository, not the hosted service at mcp.solucortex.ai, which runs on its operator's own terms.