Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Coordination memory with verification: reconcile-against-GitHub, verdict freshness, provenance.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
Authorization비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
터미널에서 이 명령어를 실행하세요
claude mcp add --transport http assist-memory https://mcp-assist-memory.replit.app/mcp --header 'Authorization: your-value'실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"assist-memory": {
"url": "https://mcp-assist-memory.replit.app/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"assist-memory": {
"type": "http",
"url": "https://mcp-assist-memory.replit.app/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
Authorization 비밀 필수 HTTP header이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 aliomraniH 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: Authorization
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.4.1)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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 — project identity lives in namespace *values*, never in tool names, tables, columns, or code.
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.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.[[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 << >> 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 — deterministic screens and wrappers are bypassable by an adaptive attacker; adversarial evaluation is pending (see Phase 10 backlog in DECISION-PROTOCOL.md)./admin dashboard.| Group | Tools |
|---|---|
| memory | memory_save memory_get memory_list memory_history memory_delete memory_search |
| handoff | handoff_save handoff_load handoff_list |
| session | session_create session_append_event session_get session_list session_events |
| artifact | artifact_put artifact_get artifact_list |
| coordination | coord_health coord_drift_scan coord_reconcile coord_curate |
| gate | intent_open skill_define gate_close_outcome gate_cache_status |
| sequence | session_bootstrap namespace_init recall |
| feedback | observation_log |
| admin | stats |
Sequences are the paths an agent should take. Correct use of this server has always been a *sequence* — learn which database answered, resolve the profile, check what is stale, then act — 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 — memory_search annotates every row and drops nothing, recall filters by default and reports the rejected counts — 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 — 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).
`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 — 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 — the hash is the capability.
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 — real isolation for honest clients, not enforced against a misbehaving one.
v2 auth roadmap — per-project tokens/roles. A token scoped to
acme-billingmust not be able to read or writeother-project. Until then,
treat the namespace boundary as a convention enforced by client configuration,
not by the server. (See REUSABILITY.md → "namespace is the tenant boundary".)
MCP tokens are stored in Postgres (admin_auth_tokens) and rotatable from `/admin` without a redeploy. There is one active token per surface:
| surface | label | how the client sends it |
|---|---|---|
| claude.ai web connector | web | ?token= in the URL (the web connector can't send headers) |
| Claude Desktop and the Claude Code CLI | desktop-cli | Authorization: Bearer |
| Cursor | cursor | Authorization: Bearer (via .cursor/mcp.json) |
The gate accepts any active token, so each surface can be rotated or revoked independently — 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.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.
AsyncConnectionPool created in the FastAPI lifespan (app.py), injected via deps. Nothing else opens a connection. The pool is built with check=AsyncConnectionPool.check_connection, so a connection terminated server-side while idle is validated and discarded on checkout, never handed to a caller.config.py (pydantic-settings) — the only place secrets are read.StorageBackend ABC (storage/base.py) implemented by PostgresBackend; the 18 tools map 1:1 onto it._retry_on_disconnect), so e.g. OperationalError: terminating connection due to administrator command (SQLSTATE 57P01, Neon scale-down / PgBouncer) is retried on a fresh pooled connection instead of surfacing to the caller. Only genuine disconnects (08xxx / 57P0x / an already-closed connection) are retried — other operational errors (lock timeout, too-many-connections) surface unchanged. Writes retry only when a replay is safe: artifact_put (content-addressed) always, and memory_save/handoff_save/memory_delete only when given an event_id (exactly-once). The session_* writes also retry, with an explicit tradeoff: a drop in the narrow commit-ack window means session_create may orphan an empty, unreferenced session row, and session_append_event is at-least-once (a replay can append one duplicate event). For an append-only session log that beats failing the call outright; a save with no event_id still runs once and surfaces the error.sanitize strips forged delimiters/control chars; reads wrap values in << >> markers (lethal-trifecta defense). Note: the value (and session-event payload) fields come back wrapped, so a consumer that needs the raw value — e.g. to json.loads a value that was a JSON string — must strip the markers first. Use storage.sanitize.unwrap_value (or strip_untrusted for a single string); the wrapping stays applied on every read.pool.wait()), 50 MB artifact cap, ranged blob reads, idempotent event_id writes, idempotent blob backfill.VOYAGE_API_KEY is set, every memory_save embeds the entry (Voyage, voyage-3.5-lite, 1024-dim) into a nullable embedding vector(1024) column with an HNSW cosine index, and memory_search ranks live entries by meaning (embedding <=> query), then backfills keyword/substring matches up to limit. Embedding is best-effort: it runs before a connection is taken and never blocks (or fails) a write, and with no key the column stays NULL and search degrades to pure keyword — the pre-Phase-3 behavior. Every leg filters on namespace first (no cross-project recall). After enabling a key on an existing DB, embed old rows once with python scripts/backfill_embeddings.py (idempotent, only touches NULL rows).memory_search sets hnsw.ef_search per-statement (transaction-local, semantic leg only) from HNSW_EF_SEARCH (default 100; pgvector's own default is 40). Higher = better recall, slightly slower search; it must be >= the search limit to take effect. Small stores return the same rows regardless, so the default is safe to leave alone — raise it (e.g. 200) if a large tenant reports missing results, lower it toward 40 to shave latency. Very large tenants can also tune the index build parameters (m, ef_construction); see migrations/0002_embeddings.sql (changing those requires recreating the index).claim (with meta.repo + meta.pr/meta.branch) is resolved against live GitHub — is PR #N merged? what is branch X's head? — and stamped with an append-only verdict; without access it stays unverifiable (never a wrong current). Access is sourced in priority order: an explicit GITHUB_TOKEN (read-only repo + PRs), e앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요