SoluCortex MCP MCP server

The SoluCortex MCP server enables AI agents to access a governed technical knowledge base. It allows agents to recall approved project decisions, conventions, and lessons learned before starting tasks, and to propose new memories for governance after completing work. This ensures agents operate with consistent, traceable context without requiring manual re-explanation of project details.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by SoluAI

MCP endpoint (Streamable HTTP)

https://mcp.solucortex.ai/mcp

Vendor documentation

What you can do with it

Recall approved project decisions and conventions before starting a task
Propose new memories for governance after completing work
Perform semantic search across project knowledge base
Build context snapshots for AI agents like Claude or Codex

Tools advertised by the last live check:

solucortex_recall
solucortex_search
solucortex_remember
solucortex_update_memory
solucortex_flag_memory
solucortex_list_memories

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

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

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add solucortex-mcp --url https://mcp.solucortex.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable solucortex-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "solucortex-mcp": {
      "url": "https://mcp.solucortex.ai/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "solucortex-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp.solucortex.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start solucortex-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "solucortex-mcp": {
      "type": "http",
      "url": "https://mcp.solucortex.ai/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http solucortex-mcp https://mcp.solucortex.ai/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "solucortex-mcp": {
      "url": "https://mcp.solucortex.ai/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "solucortex-mcp": {
      "serverUrl": "https://mcp.solucortex.ai/mcp"
    }
  }
}

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