Odel
MCP server: One MCP server.

SPM - Structured Project Memory

@getspmRun by its publisher: served from their own domain, namespace checked by the registry.MCP server · External

Durable, shareable and governed project memory with smart triage and explicit project composition.

AI memoryv0.2.10MITPython
Freeno charge per call
Sign in to install

One address for any MCP client. Your key stays in your Odel vault.

What it does

  1. Reads
  2. Writes
  3. High impact

At most: only reads or looks up information.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Tools

None listed · checked 26 Sep 2026

Odel could not list its tools without signing in.

Try it in the Inspector
README5 min read

SPM Agent Connectors

Public connector package for SPM - Structured Project Memory.

SPM turns project knowledge into durable, shareable, governed and internally smart project memory for AI agents. This repository contains only the public connector surface: the authenticated remote MCP configuration, installable bundles for Codex, Claude Code, Cursor and OpenClaw, browser authorization helpers, lifecycle adapters, examples and security guidance.

The SPM application, backend, billing system, private console, memory engine and infrastructure are not included in this repository.

Hosted MCP Endpoint

Human setup and inspection guide:

text
https://getspm.com/agents
text
https://getspm.com/v1/mcp

Official MCP Registry descriptor:

text
server.json

Registry name:

text
com.getspm/spm

The endpoint is public for discovery, but authenticated for use. A client needs:

  • an SPM account;
  • an organization and at least one project;
  • a trial or paid plan;
  • an SPM token authorized for one project, a selected project set or the projects the user may access in an organization.

What Agents Can Do

Connector profiles expose the agent-facing SPM surface:

  • use durable project memory across chats, runs and tools;
  • resolve the active project without confusing it with other authorized projects;
  • list authorized projects and compose cross-project context only when the user explicitly requests it;
  • work with smart memory packs that preserve requirements, current decisions, completed work, source-backed context and temporal signals;
  • query temporal project memory;
  • request scoped context packs;
  • verify context pack provenance and hashes;
  • query context graphs and boundaries;
  • run policy-aware preflight checks;
  • report completed actions, tests, evidence and decisions;
  • submit agent lifecycle turns to LLM-first memory triage with source provenance, when the client supports lifecycle hooks.
  • choose selective, complete redacted, summaries-only or metadata-only source capture independently from the memory that triage promotes for future use;
  • inspect and verify an append-ordered capture journal without exposing retained conversation bodies to agent tools.
  • propose a source-grounded project-memory bootstrap when no authorized project matches, request only the specific authorized evidence still needed, then wait for the user to create, link or skip it in SPM;
  • continue an authorized project in another agent or device through a short-lived one-time handoff that carries references rather than memory bodies or credentials;
  • compare body-free workspace manifests before a handoff: Git identity, revision and local-state hash; non-Git file or document snapshots; remote version references; or memory-only work;
  • refresh workspace manifests automatically at session start, before user turns and after completed work when the client supports lifecycle hooks, making stale observations and out-of-band changes visible without uploading local file bodies;
  • distinguish metadata-only source observations from material evidence and request an authorized source handoff when current content is required.

Typical Use Cases

  • Coding agents receive the project memory they should actually use before changing code: requirements, current decisions, tests, constraints and completed work.
  • Delivery teams turn scattered project knowledge into scoped packs for engineers, clients, partners or support without exposing the whole project.
  • Partners or external collaborators receive bounded memory with source, expiry, revocation, provenance and audit evidence.
  • Agent workflows preserve memory after the task by reporting decisions, tests and evidence back to SPM.

What Agents Cannot Do

The hosted MCP connector does not expose:

  • billing or checkout;
  • invoice payment;
  • customer portal creation;
  • destructive tenant administration;
  • raw secrets;
  • global operator tools.

This boundary is intentional. Agents receive the memory tools they need without being given commercial or destructive administrative powers.

Codex

Install the Codex plugin from this repository marketplace:

text
.agents/plugins/marketplace.json

Or configure Codex manually:

toml
[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 Codex for all projects the signed-in organization user may access:

bash
python3 plugins/spm-codex/scripts/auth_spm_codex.py \
  --project-id <authorization-project-id> \
  --access-mode organization \
  --write-env ~/.spm/codex.env
source ~/.spm/codex.env

Verify:

bash
python3 plugins/spm-codex/scripts/doctor_spm_codex.py

Run the functional remote MCP smoke:

bash
python3 plugins/spm-codex/scripts/smoke_spm_remote_mcp.py \
  --project-id <authorized-project-id>

The smoke uses the same SPM_CODEX_MCP_TOKEN as Codex and requires an explicit authorized project id (or SPM_SMOKE_PROJECT_ID). It initializes the hosted MCP endpoint, verifies the project-resolution, multi-project, agent-session and memory 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:

bash
python3 plugins/spm-codex/scripts/smoke_spm_remote_mcp.py \
  --project-id <authorized-project-id> --read-only

Claude Code, Cursor And OpenClaw

The repository includes native client bundles:

  • plugins/spm-claude
  • plugins/spm-cursor
  • plugins/spm-openclaw

Clients that only support MCP can use the same remote endpoint and bearer token. The generic authorization helper is scripts/agent-connectors/authorize_spm_agent.py. See also:

  • examples/codex/config.toml
  • examples/claude-desktop/claude_desktop_config.json
  • examples/cursor/mcp.json
  • examples/windsurf/mcp_config.json

Security

Do not commit tokens. Prefer environment variables or each agent client's secret storage. Tokens must be explicitly scoped and revocable from SPM. Organization visibility does not permit silent project mixing: each task keeps one active project, while cross-project packs require an explicit user request. Session continuation does not clone, pull, reset or overwrite a workspace. Receiving agents inspect their actual material state, compare it with SPM's manifest and ask before obtaining or reconciling resources.

See SECURITY.md and docs/security-boundary.md.

Links

Similar modules

Browse AI memory