MCP server: One MCP server.

MemPersist

@ravhirizaldiMCP server · External

Durable, revision-pinned memory storage and retrieval for AI conversations.

AI memoryv1.0.1TypeScript
Freeno charge per call

One address for any MCP client. You sign in once, after adding it.

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

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README10 min read

Long-term memory for AI conversations, running entirely on Cloudflare. Original ChatGPT exports and normalized conversation graphs live in R2, a D1 catalog makes them queryable, lexical and semantic indexes stay disposable, and MCP exposes compact retrieval plus intentional writes.

MCP endpointhttps://mempersist.codifiedtech.id/mcp
Registryio.github.ravhirizaldi/mempersist — version 1.0.1
RuntimeWorkers, D1, R2, Queues, Workers AI (BGE-M3), Vectorize, OAuth KV
ProtocolMCP v2 over stateless Streamable HTTP, OAuth 2.1 with PKCE S256
ScopeSingle-operator V1, one Worker, one TypeScript package

What it does. Preserves every uploaded ChatGPT export byte-for-byte, normalizes branches and node metadata into revision-pinned canonical JSONL, indexes derived FTS and vector data, and answers search, context, and batch reads with deterministic IDs. Writes are intentional, revision-checked, and durable before indexing is queued.

What it refuses to do. It does not intercept ChatGPT traffic, extract replacement "facts", summarize with a model, or treat any index as canonical. No billing, organizations, or speculative multi-tenancy; no Durable Objects, Workflows, cron triggers, or containers. Deleting every chunk, FTS row, and vector does not delete memory. "Unlimited" means no application-level message quota — Cloudflare limits and billing still apply.

Architecture

mermaid
flowchart TD
  IMP["ChatGPT data export (conversations.json)"] --> V
  WRITE["MCP writes from any client"] --> V
  V["Validation and stable IDs"] --> R2[("R2 canonical archive<br/>raw import + immutable revisions")]
  R2 --> D1[("D1 catalog<br/>imports, revisions, graph, R2 pointers")]
  D1 --> Q["Cloudflare Queues<br/>import and index jobs"]
  Q --> FTS[("D1 FTS5<br/>lexical chunks")]
  Q --> AI["Workers AI BGE-M3"] --> VEC[("Vectorize<br/>embeddings")]
  FTS --> SEARCH["Normalized hybrid search<br/>plus recent-canonical fallback"]
  VEC --> SEARCH
  SEARCH --> OUT["HTTP API and OAuth-protected MCP"]
  R2 --> EXPORT["Lossless export and recovery"]

Two ingestion paths, and they stay independent: the ChatGPT data export parser accepts the native conversations.json format only, while writes arrive through MCP from whichever client the caller uses. Both converge on the same canonical revision model, so a memory created by a tool call and one imported from an export are read, pinned, and restored identically.

R2 is the source of truth. A canonical write completes before its index job is queued, and an indexing failure never reports that durable memory was lost. Rebuilds read R2, so an export never needs to be uploaded twice. Full detail in ARCHITECTURE.md and docs/storage-and-indexing.md.

Quickstart

bash
yarn install
cp .dev.vars.example .dev.vars   # set a long random MEMORY_API_TOKEN
yarn types:bindings
yarn db:migrate:local
yarn dev

Requires WSL2/Linux, Node.js 22+, Yarn 1.22, and Wrangler 4.x authenticated with yarn wrangler whoami. Use Yarn only. Local D1, R2, KV, and Queues are simulated; Workers AI and Vectorize point at real remote bindings in the main configuration, while unit and integration tests never call remote AI.

Connect any MCP client

MemPersist is a standard remote MCP server: stateless Streamable HTTP at https://mempersist.codifiedtech.id/mcp, OAuth 2.1 authorization code with PKCE S256, scope memory. Nothing in the endpoint is client-specific — the same handshake, tool contracts, and server instructions serve every caller. Point a client at the URL and it works:

ClientHow to add it
Claude Codeclaude mcp add --transport http mempersist https://mempersist.codifiedtech.id/mcp, then finish the email prompt
Codex CLI, ChatGPT desktop, IDE extension~/.codex/config.toml (or project .codex/config.toml), then codex mcp login mempersist
Cursor, Claude Desktop, VS Code, Zedadd the URL as a remote (HTTP) MCP server in the client's MCP settings; the client starts the OAuth flow
ChatGPTDeveloper mode, then add the URL as a custom MCP app
MCP Inspector, custom SDK clientsnpx @modelcontextprotocol/inspector, or the official SDK client; use the URL and either OAuth or the developer token
stdio-only clientskeep the server remote and bridge stdio to HTTP with an OAuth-capable proxy; MemPersist itself never needs npx

Codex configuration:

toml
[mcp_servers.mempersist]
type = "remote"
url = "https://mempersist.codifiedtech.id/mcp"
# auth = "oauth" is the default; run `codex mcp login mempersist` to authorize

The client discovers OAuth from the 401 challenge, opens the consent page, and stores the issued access and refresh tokens. The consent page takes an email and sends a single-use, 15-minute magic link through the EMAIL binding; the connection completes only after that link is opened, and an existing email reconnects to its archive. The single scope is memory, and the sender address is configuration (AUTH_EMAIL_FROM, LEGACY_AUTH_EMAIL_FROM), not part of the API contract. Never paste MEMORY_API_TOKEN into a connector.

Already-configured connections keep working across upgrades without re-authorization; the legacy hostname stays supported, and moving one client to the primary hostname costs exactly one new authorization.

Developer token

Scripts, the CLI, and non-interactive automation may send Authorization: Bearer <MEMORY_API_TOKEN> instead of OAuth, which always maps to the owner archive. Every account may own multiple namespaces; the same namespace name in two accounts is separate data, and a supplied namespace is honored only when the caller owns it.

Local, without deploying

The MCP audience is deployment configuration, so point a development server at itself:

bash
yarn dev --local --port 8787 --local-protocol https \
  --var MCP_ORIGIN_OVERRIDE:https://127.0.0.1:8787

Discovery, consent, and token audiences then use https://127.0.0.1:8787, and both the .dev.vars developer token and the full OAuth flow work. Local send_email writes each magic link to .wrangler/tmp/email/<id>/email-text/. See docs/development.md.

Tools

21 tools, each carrying a human-readable title and read-only or destructive annotations. Retrieve first, then expand only what you selected.

Read

ToolTitleNotes
memory_searchSearch memoriesHybrid search, 1–20 references; filters and opaque cursor pagination
memory_get_contextGet memory contextCanonical messages around one result chunk, up to 10 each way
memory_get_conversationGet conversationPage one conversation's active timeline or full graph
memory_get_conversationsGet conversationsRevision-pinned batch read of 1–20 conversations, cursor-paged
memory_list_conversationsList conversationsMetadata and tags only, no bodies
memory_list_revisionsList revisionsImmutable revision history, newest first
memory_resolve_conversationsResolve conversationsExact-title lookup, no semantic search
memory_list_namespacesList namespacesOwned namespaces with conversation counts
memory_statsGet memory statisticsPer-namespace counts and indexing health
memory_import_statusGet import statusImport progress, duplicate, or failure
memory_get_capabilitiesGet capabilitiesThe deployed contract: versions, limits, per-tool bounds, flags

Context assembly

ToolTitleNotes
memory_build_contextBuild memory contextDeterministic, revision-pinned pack from 1–20 required conversations, optional hybrid evidence, explicit token and byte budgets

Write

Each write returns a bounded durable receipt with separate indexing and verification status, and accepts verify: true to reload the committed R2 revision.

ToolTitleNotes
memory_storeStore memoryNew intentional memory; first write claims a namespace you name
memory_appendAppend memoryContinue a conversation with base_revision_id
memory_replaceReplace memorySupersede with a complete transcript, preserving identity and tags
memory_edit_messagesEdit memory messagesEdit 1–100 known source nodes in place; structured content is rejected
memory_restore_revisionRestore memory revisionMove the head back to a historical revision, no duplicate revision
memory_copy_conversationsCopy conversationsLossless R2 copy into another owned namespace, idempotency-keyed
memory_update_tagsUpdate memory tagsAdd or remove tags under optimistic concurrency

Admin

ToolTitleNotes
memory_delete_conversationsDelete conversationsUp to 100, canonical and derived data together
memory_empty_namespaceEmpty namespaceBounded, resumable batch empty after exact confirmation

Retry, reindex, and integrity commands stay HTTP/CLI only so a model cannot trigger expensive maintenance. Full tool contracts, receipts, and batch semantics live in docs/mcp.md.

Search pagination

The first memory_search call requires query and accepts limit (1–20, default 8), an optional namespace, tags, tag_mode (all or any), and optional max_serialized_bytes. The byte budget defaults to 32 KiB and accepts 4–48 KiB. A response may include next_cursor; continue with that opaque cursor, the next limit, and the byte budget. Do not resubmit the query or change filters on a continuation.

Compatibility responses that do not request pagination may omit the pagination-only metadata.

Search cursors identify a short-lived, tenant-bound snapshot. The snapshot preserves the exact ranking, scores, and order from the first call, pins each result's revision, and carries the original degraded and unavailable diagnostics forward. Its metadata reports the ranking version, candidate count and cap, creation and expiry times, and bounded omission counts/reasons. Expired cursors are cleaned up when read. Malformed, forged, expired, incompatible, or cross-account cursors return a bounded validation error; cursors expose no internal storage or account identifiers.

Search is scoped to the authenticated account. A namespace filter is valid only for a namespace the account owns; omitting it searches the account's owned namespaces. Deleted, stale, or no-longer owned snapshot candidates are omitted with safe bounded diagnostics rather than replacing the snapshot or exposing another account's data. Search cursors are for MCP/HTTP search pagination only; they are not export or canonical-read cursors.

Limits

memory_get_capabilities is the single contract: it reports the constants the transports enforce, so a quoted figure cannot drift from its enforcement. Deployed values:

LimitValue
MCP tool output guard65,536 bytes (64 KiB)
Recommended tool output / receipt ceiling49,152 bytes (48 KiB)
Inline JSON write on both transports1,048,576 bytes (1 MiB)
Direct import body, and each multipart part16,777,216 bytes (16 MiB)
Single message content1,000,000 characters
Batch conversation read response32 KiB default, 48 KiB max
Search response budget32 KiB default, 4 KiB min, 48 KiB max

Aggregate limits are the UTF-8 bytes of the complete serialized request, measured before any canonical work. An oversized request writes nothing and fails with REQUEST_TOO_LARGE (retryable: false) plus a conservative suggested_max_items estimate — never a silent truncation.

ChatGPT import

Export your data from ChatGPT, extract conversations.json, then:

bash
MEMPERSIST_URL=http://localhost:8787 \
MEMPERSIST_TOKEN='your-token' \
yarn import:chatgpt /path/to/conversations.json

MEMPERSIST_TOKEN='your-token' yarn import:status <import-id>

The uploaded bytes are stored unchanged and hashed server-side; exact duplicates are marked duplicate and never reprocessed. One queue turn processes 25 conversations from an ordinal checkpoint, so retries are safe and resumable. Larger files use R2 multipart upload. Unknown fields, alternate branches, and graph anomalies stay recoverable. See docs/chatgpt-import.md.

Dashboard

Open /login for passwordless access to the server-rendered dashboard: archive totals, the deterministic memory map, revision-pinned canonical reading, display-name editing, and a streamed lossless export. Namespace emptying runs asynchronously; account deletion has a seven-day cancelable grace period and makes writes read-only while pending. No frontend framework or extra Cloudflare resource is required. See docs/dashboard.md and ADR 0028.

The public site, OAuth pages, and magic-link email are available in English and Bahasa Indonesia; API, MCP, and CLI contracts remain English.

Development

bash
yarn verify

Runs formatting, the binding-type freshness check, lint, strict TypeScript for the Worker and the web/mindmap/ browser project, the memory-map bundle check, unit and MCP tests, Workers-runtime D1/R2 integration tests, and a Wrangler deploy dry run. Nothing deploys unless yarn deploy is invoked. After editing anything under web/mindmap/, run yarn build:mindmap so the generated bundle matches its sources.

bash
yarn admin search 'api.internal.example'   # CLI search against canonical data
yarn retry <job-id>                        # re-run a failed import or index job
yarn reindex                               # rebuild derived indexes from R2
yarn verify:integrity                      # check catalog, R2 pointers, and revision hashes

Schema changes are numbered SQL migrations applied through Wrangler, never edited after they are applied. Architecture changes require an ADR in docs/adr/. See CONTRIBUTING.md and AGENTS.md before opening a pull request.

Documentation

DocumentContents
ARCHITECTURE.mdSystem shape, canonical versus derived, write order, retrieval
CONTRIBUTING.mdSetup, per-change requirements, tests, authorization gates
SECURITY.mdThreat model, trust boundaries, limits, rotation, reporting
docs/mcp.mdTool contracts, receipts, batches, capabilities, rejection shapes
docs/development.mdLocal loop, local MCP clients, browser pages, memory map client
docs/deployment.mdProvisioning, migration, deploy, post-deploy checks
docs/cloudflare-resources.mdRequired resources and manual provisioning steps
docs/chatgpt-import.mdImport guarantees, upload paths, parser ceilings
docs/dashboard.mdDashboard, export, and deletion flows
docs/storage-and-indexing.mdCanonical storage layout and index generations
docs/operations-and-recovery.mdRecovery procedures and deletion-job re-enqueue
docs/rp-workflow.mdReviewable runtime-rule workflow
docs/adr/Decision log, newest first

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