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  3. MCP Assist β€” Coordination Memory
MCP Assist β€” Coordination Memory logo
Health: ActiveRecent health check succeeded.Last checked 9/23/2026, 2:02:20 AM

MCP Assist β€” Coordination Memory

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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Coordination memory with verification: reconcile-against-GitHub, verdict freshness, provenance.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for MCP Assist β€” Coordination Memory, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Documentation Overview

mcp-assist-memory

A generic, project-agnostic memory / coordination / artifact server for multi-agent and multi-surface work. One FastAPI process serves a 30-tool MCP over Streamable HTTP, backed by Postgres (+ pgvector), deployed standalone on a Replit Reserved VM.

This is Tier 1 of the reusability contract: every project reuses it as-is. It carries zero domain terms β€” project identity lives in namespace values, never in tool names, tables, columns, or code.

Capabilities at a glance

  • 30-tool MCP over Streamable HTTP (memory, handoff, session, artifact, coordination, feedback, admin).
  • Trust-boundary spine (Plan v2) β€” actor-scoped exactly-once writes with visible dedup, read-back-verified acks (verified_persisted), standardized error payloads with remedies, write-time screening + quarantine, provenance tiers (origin, model attribution, derived_from lineage), trust decay (needs_reverification), PHI-safe tool_events telemetry, per-namespace variant profiles, and an observation_log feedback channel.
  • Namespace-scoped multi-tenancy β€” every per-project query filters on namespace.
  • Resilient to transient DB drops β€” the server transparently retries genuine connection losses (Neon scale-down / PgBouncer recycle, SQLSTATE 57P01/08xxx) on a fresh pooled connection, and validates connections at checkout, so callers no longer have to retry. Retries are idempotency-gated, so they never double-write.
  • Prompt-injection resistance layer β€” values are sanitized on write (forged markers are escaped one-way to [[UNTRUSTED_DATA]], never reconstructed on read), instruction-shaped writes are screened and quarantined (visible in the write ack; include_quarantined: true opts reads back in), and reads come back wrapped in <<<UNTRUSTED_DATA>>> markers; storage.sanitize.unwrap_value recovers the raw value when a consumer needs it (e.g. to json.loads). Honest framing: these are layers, not proofs β€” deterministic screens and wrappers are bypassable by an adaptive attacker; adversarial evaluation is pending (see Phase 10 backlog in DECISION-PROTOCOL.md).
  • Content-addressed artifacts (sha256, global dedup), 50 MB cap, ranged reads.
  • Per-surface rotatable tokens (web vs. desktop-cli) managed from a password-gated /admin dashboard.

The 30 tools

GroupTools
memorymemory_save memory_get memory_list memory_history memory_delete memory_search
handoffhandoff_save handoff_load handoff_list
sessionsession_create session_append_event session_get session_list session_events
artifactartifact_put artifact_get artifact_list
coordinationcoord_health coord_drift_scan coord_reconcile coord_curate
gateintent_open skill_define gate_close_outcome gate_cache_status
sequencesession_bootstrap namespace_init recall
feedbackobservation_log
adminstats

Sequences are the paths an agent should take. Correct use of this server has always been a sequence β€” learn which database answered, resolve the profile, check what is stale, then act β€” and that ordering used to live in tool descriptions and skills, i.e. it was enforced by a model remembering advice mid-task, and a skipped step produced no signal whatsoever. The three sequence tools run their steps server-side in a fixed order and return steps_run, so the ordering is something the server did rather than something a caller got right. They are strictly additive: every primitive they are built from still works exactly as before, for surgical use.

recall and memory_search now share ONE retrieval guard (storage/retrieval.py): the same absolute floor and relative alpha the Intent Gate applies. Previously memory_search had no floor at all while intent_open had both, so the same store answered the same question differently depending on which tool the caller reached for. They still differ in what they do with the verdict β€” memory_search annotates every row and drops nothing, recall filters by default and reports the rejected counts β€” but they can no longer disagree about what counts as a match.

The Intent Gate (claude/intent-gate/INTENT_GATE_CHARTER.md) is a per-namespace opt-in (variant_profiles.profile.intent_gate: "on"): mutating tools gain a deterministic Tier-0 pre-flight (two-phase preview/confirm for supersession + delete, dependency-freshness flags, compact gate ack block), intent_open adds the Tier-1 memory-similarity critic, and Tier 2 (LLM reasoning over the direct Anthropic API β€” never MCP sampling) ships behind tier2: "on" (default off). Default-profile namespaces are byte-identical to the pre-gate server.

/healthz (liveness) and the /admin token dashboard are served separately (not MCP tools).

Tenancy β€” namespace is the project boundary

namespace == project == tenant. One namespace per project (e.g. acme-billing), with conventional sub-scopes by key prefix (coord/…, knowledge/…). Every per-project tool takes a required namespace and every query filters on it β€” there are no implicit cross-project reads. The session and session_event tables carry namespace too, so episodic memory is scoped like everything else.

Artifacts are the deliberate exception: they are content-addressed (sha256) and dedup globally, so they are not tenant-scoped β€” the hash is the capability.

Honest limit (and the v2 fix)

The per-surface tokens scope which client surface connects, not which project it may touch: any holder of any active token can pass any namespace, so namespace remains a soft boundary β€” real isolation for honest clients, not enforced against a misbehaving one.

v2 auth roadmap β€” per-project tokens/roles. A token scoped to acme-billing must not be able to read or write other-project. Until then, treat the namespace boundary as a convention enforced by client configuration, not by the server. (See REUSABILITY.md β†’ "namespace is the tenant boundary".)

Auth & the /admin dashboard

MCP tokens are stored in Postgres (admin_auth_tokens) and rotatable from /admin without a redeploy. There is one active token per surface:

surfacelabelhow the client sends it
claude.ai web connectorweb?token=<token> in the URL (the web connector can't send headers)
Claude Desktop and the Claude Code CLIdesktop-cliAuthorization: Bearer <token>
CursorcursorAuthorization: Bearer <token> (via .cursor/mcp.json)

The gate accepts any active token, so each surface can be rotated or revoked independently β€” rotating web never disturbs desktop-cli or cursor. The /admin page shows one card per surface with a ready-to-paste URL/command and its own rotate button.

MCP_AUTH_TOKEN seeds the web token on initial boot (so an existing claude.ai connector keeps working); desktop-cli and cursor are auto-generated. After first boot the dashboard is the source of truth.

  • /admin is password-gated by ADMIN_PASSWORD (signed, HttpOnly session cookie, CSRF-protected). Without it the dashboard refuses logins.
  • The only routes not behind the bearer gate are GET /healthz, the streamed GET /artifact/{sha256}, and /admin (which self-authenticates).

Stateless transport. /mcp runs in stateless HTTP mode (http_app(stateless_http=True)): every request is self-contained, with no in-memory session affinity. Client sessions therefore survive VM restarts/redeploys, and the three surfaces share no server-side session state.

Architecture

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

Last commit
1mo ago
Most recent push to the default branch.
Directory activity
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Frequently Asked Questions about MCP Assist β€” Coordination Memory

We don't have a confirmed install command for MCP Assist β€” Coordination Memory yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/aliomraniH/mcp-assist-memory) for the current steps.

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
Last updatedAug 12, 2026
3/6 checks healthy over the last 46d
Views1
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Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
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Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 12, 2026
31Quality signal: Emerging Β· 31/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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