Server data from the Official MCP Registry
Structured project memory for AI agents, delivered through a project-scoped remote MCP connector.
Structured project memory for AI agents, delivered through a project-scoped remote MCP connector.
Remote endpoints: streamable-http: https://getspm.com/v1/mcp
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"com-getspm-spm": {
"url": "https://getspm.com/v1/mcp"
}
}
}From the project's GitHub README.
Public connector package for SPM - Structured Project Memory.
SPM turns project knowledge into scoped, temporal, verifiable and injectable context for AI agents. This repository contains only the public connector surface: MCP configuration, Codex plugin metadata, setup scripts, examples and security guidance.
The SPM application, backend, billing system, private console, memory engine and infrastructure are not included in this repository.
Human setup and inspection guide:
https://getspm.com/agents
https://getspm.com/v1/mcp
Official MCP Registry descriptor:
server.json
Registry name:
com.getspm/spm
The endpoint is public for discovery, but authenticated for use. A client needs:
Connector profiles expose the agent-facing SPM surface:
The hosted MCP connector does not expose:
This boundary is intentional. Agents receive the memory tools they need without being given commercial or destructive administrative powers.
Install the Codex plugin from this repository marketplace:
.agents/plugins/marketplace.json
Or configure Codex manually:
[mcp_servers.spm]
url = "https://getspm.com/v1/mcp"
bearer_token_env_var = "SPM_CODEX_MCP_TOKEN"
startup_timeout_sec = 30
tool_timeout_sec = 120
Authorize a project-scoped token:
python3 plugins/spm-codex/scripts/auth_spm_codex.py --project-id <project-id> --write-env ~/.spm/codex.env
source ~/.spm/codex.env
Verify:
python3 plugins/spm-codex/scripts/doctor_spm_codex.py
Run the functional remote MCP smoke:
python3 plugins/spm-codex/scripts/smoke_spm_remote_mcp.py
The smoke uses the same SPM_CODEX_MCP_TOKEN as Codex. It initializes the
hosted MCP endpoint, verifies the exposed tool surface, creates a small
project-scoped smoke memory event, reads temporal state, creates and verifies a
context pack, queries the context graph, runs agent preflight and reports
post-action evidence. It never prints the token and the hosted connector strips
raw event bodies from returned context.
For a non-mutating token check, use:
python3 plugins/spm-codex/scripts/smoke_spm_remote_mcp.py --read-only
Use the same endpoint with a project-scoped bearer token. See:
examples/codex/config.tomlexamples/claude-desktop/claude_desktop_config.jsonexamples/cursor/mcp.jsonexamples/windsurf/mcp_config.jsonDo not commit tokens. Prefer environment variables or each agent client's secret storage. Tokens should be project-scoped and revocable from SPM.
See SECURITY.md and docs/security-boundary.md.
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