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Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Fail-closed privacy layer that pseudonymises enterprise API data for LLM agents and MCP clients.
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.
LOADER_PATH, DATAPRISM_SECURITY_JWT_ISSUER, DATAPRISM_SECURITY_JWT_AUDIENCE, DATAPRISM_SECURITY_JWT_JWK_SET_URI, DATAPRISM_SECURITY_JWT_ISSUER_DISCOVERY_URI, DATAPRISM_SECURITY_CALLER_CLAIMS_PRINCIPAL, DATAPRISM_SECURITY_CALLER_CLAIMS_ROLES, DATAPRISM_SECURITY_CALLER_CLAIMS_INVESTIGATION, DATAPRISM_SECURITY_POLICY_PURPOSES, DATAPRISM_SECURITYPOLICY_ROLES_INVESTIGATOR, DATAPRISM_PRIVACY_PROFILE, DATAPRISM_PRIVACY_SCOPE_LIFETIME, DATAPRISM_PRIVACY_HMAC_KEY_KEY_ID, DATAPRISM_PRIVACY_HMAC_KEY_ENVIRONMENT_VARIABLE, DATAPRISM_PRIVACY_HMAC_KEY_PROVIDER_REFERENCE, DATAPRISM_AUDIT_SINK, DATAPRISM_AUDIT_WRITER_ID, DATAPRISM_AUDIT_FILE_PATH, DATAPRISM_METRICS_SINK, DATAPRISM_HAZELCAST_TOPOLOGY, DATAPRISM_HAZELCAST_CLUSTERNAME, DATAPRISM_HAZELCAST_JOIN_MODE, DATAPRISM_HAZELCAST_JOIN_MEMBERS, DATAPRISM_HAZELCAST_MEMBER_PORT, DATAPRISM_OPERATOR_ENABLED, DATAPRISM_OPERATOR_PORT, DATAPRISM_OPERATOR_REQUIREDAUDIENCE, DATAPRISM_OPERATOR_REQUIREDSCOPE, DATAPRISM_SOURCES_CUSTOMER_BASE_URL, DATAPRISM_SOURCES_CUSTOMER_TIMEOUT필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"data-prism": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"LOADER_PATH",
"-e",
"DATAPRISM_SECURITY_JWT_ISSUER",
"-e",
"DATAPRISM_SECURITY_JWT_AUDIENCE",
"-e",
"DATAPRISM_SECURITY_JWT_JWK_SET_URI",
"-e",
"DATAPRISM_SECURITY_JWT_ISSUER_DISCOVERY_URI",
"-e",
"DATAPRISM_SECURITY_CALLER_CLAIMS_PRINCIPAL",
"-e",
"DATAPRISM_SECURITY_CALLER_CLAIMS_ROLES",
"-e",
"DATAPRISM_SECURITY_CALLER_CLAIMS_INVESTIGATION",
"-e",
"DATAPRISM_SECURITY_POLICY_PURPOSES",
"-e",
"DATAPRISM_SECURITYPOLICY_ROLES_INVESTIGATOR",
"-e",
"DATAPRISM_PRIVACY_PROFILE",
"-e",
"DATAPRISM_PRIVACY_SCOPE_LIFETIME",
"-e",
"DATAPRISM_PRIVACY_HMAC_KEY_KEY_ID",
"-e",
"DATAPRISM_PRIVACY_HMAC_KEY_ENVIRONMENT_VARIABLE",
"-e",
"DATAPRISM_PRIVACY_HMAC_KEY_PROVIDER_REFERENCE",
"-e",
"DATAPRISM_AUDIT_SINK",
"-e",
"DATAPRISM_AUDIT_WRITER_ID",
"-e",
"DATAPRISM_AUDIT_FILE_PATH",
"-e",
"DATAPRISM_METRICS_SINK",
"-e",
"DATAPRISM_HAZELCAST_TOPOLOGY",
"-e",
"DATAPRISM_HAZELCAST_CLUSTERNAME",
"-e",
"DATAPRISM_HAZELCAST_JOIN_MODE",
"-e",
"DATAPRISM_HAZELCAST_JOIN_MEMBERS",
"-e",
"DATAPRISM_HAZELCAST_MEMBER_PORT",
"-e",
"DATAPRISM_OPERATOR_ENABLED",
"-e",
"DATAPRISM_OPERATOR_PORT",
"-e",
"DATAPRISM_OPERATOR_REQUIREDAUDIENCE",
"-e",
"DATAPRISM_OPERATOR_REQUIREDSCOPE",
"-e",
"DATAPRISM_SOURCES_CUSTOMER_BASE_URL",
"-e",
"DATAPRISM_SOURCES_CUSTOMER_TIMEOUT",
"ghcr.io/aindriub/data-prism-server:0.7.1"
],
"env": {
"LOADER_PATH": "your-value",
"DATAPRISM_SECURITY_JWT_ISSUER": "your-value",
"DATAPRISM_SECURITY_JWT_AUDIENCE": "your-value",
"DATAPRISM_SECURITY_JWT_JWK_SET_URI": "your-value",
"DATAPRISM_SECURITY_JWT_ISSUER_DISCOVERY_URI": "your-value",
"DATAPRISM_SECURITY_CALLER_CLAIMS_PRINCIPAL": "your-value",
"DATAPRISM_SECURITY_CALLER_CLAIMS_ROLES": "your-value",
"DATAPRISM_SECURITY_CALLER_CLAIMS_INVESTIGATION": "your-value",
"DATAPRISM_SECURITY_POLICY_PURPOSES": "your-value",
"DATAPRISM_SECURITYPOLICY_ROLES_INVESTIGATOR": "your-value",
"DATAPRISM_PRIVACY_PROFILE": "your-value",
"DATAPRISM_PRIVACY_SCOPE_LIFETIME": "your-value",
"DATAPRISM_PRIVACY_HMAC_KEY_KEY_ID": "your-value",
"DATAPRISM_PRIVACY_HMAC_KEY_ENVIRONMENT_VARIABLE": "your-value",
"DATAPRISM_PRIVACY_HMAC_KEY_PROVIDER_REFERENCE": "your-value",
"DATAPRISM_AUDIT_SINK": "your-value",
"DATAPRISM_AUDIT_WRITER_ID": "your-value",
"DATAPRISM_AUDIT_FILE_PATH": "your-value",
"DATAPRISM_METRICS_SINK": "your-value",
"DATAPRISM_HAZELCAST_TOPOLOGY": "your-value",
"DATAPRISM_HAZELCAST_CLUSTERNAME": "your-value",
"DATAPRISM_HAZELCAST_JOIN_MODE": "your-value",
"DATAPRISM_HAZELCAST_JOIN_MEMBERS": "your-value",
"DATAPRISM_HAZELCAST_MEMBER_PORT": "your-value",
"DATAPRISM_OPERATOR_ENABLED": "your-value",
"DATAPRISM_OPERATOR_PORT": "your-value",
"DATAPRISM_OPERATOR_REQUIREDAUDIENCE": "your-value",
"DATAPRISM_OPERATOR_REQUIREDSCOPE": "your-value",
"DATAPRISM_SOURCES_CUSTOMER_BASE_URL": "your-value",
"DATAPRISM_SOURCES_CUSTOMER_TIMEOUT": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add data-prism --env LOADER_PATH=your-value --env DATAPRISM_SECURITY_JWT_ISSUER=your-value --env DATAPRISM_SECURITY_JWT_AUDIENCE=your-value --env DATAPRISM_SECURITY_JWT_JWK_SET_URI=your-value --env DATAPRISM_SECURITY_JWT_ISSUER_DISCOVERY_URI=your-value --env DATAPRISM_SECURITY_CALLER_CLAIMS_PRINCIPAL=your-value --env DATAPRISM_SECURITY_CALLER_CLAIMS_ROLES=your-value --env DATAPRISM_SECURITY_CALLER_CLAIMS_INVESTIGATION=your-value --env DATAPRISM_SECURITY_POLICY_PURPOSES=your-value --env DATAPRISM_SECURITYPOLICY_ROLES_INVESTIGATOR=your-value --env DATAPRISM_PRIVACY_PROFILE=your-value --env DATAPRISM_PRIVACY_SCOPE_LIFETIME=your-value --env DATAPRISM_PRIVACY_HMAC_KEY_KEY_ID=your-value --env DATAPRISM_PRIVACY_HMAC_KEY_ENVIRONMENT_VARIABLE=your-value --env DATAPRISM_PRIVACY_HMAC_KEY_PROVIDER_REFERENCE=your-value --env DATAPRISM_AUDIT_SINK=your-value --env DATAPRISM_AUDIT_WRITER_ID=your-value --env DATAPRISM_AUDIT_FILE_PATH=your-value --env DATAPRISM_METRICS_SINK=your-value --env DATAPRISM_HAZELCAST_TOPOLOGY=your-value --env DATAPRISM_HAZELCAST_CLUSTERNAME=your-value --env DATAPRISM_HAZELCAST_JOIN_MODE=your-value --env DATAPRISM_HAZELCAST_JOIN_MEMBERS=your-value --env DATAPRISM_HAZELCAST_MEMBER_PORT=your-value --env DATAPRISM_OPERATOR_ENABLED=your-value --env DATAPRISM_OPERATOR_PORT=your-value --env DATAPRISM_OPERATOR_REQUIREDAUDIENCE=your-value --env DATAPRISM_OPERATOR_REQUIREDSCOPE=your-value --env DATAPRISM_SOURCES_CUSTOMER_BASE_URL=your-value --env DATAPRISM_SOURCES_CUSTOMER_TIMEOUT=your-value -- docker run -i --rm -e LOADER_PATH -e DATAPRISM_SECURITY_JWT_ISSUER -e DATAPRISM_SECURITY_JWT_AUDIENCE -e DATAPRISM_SECURITY_JWT_JWK_SET_URI -e DATAPRISM_SECURITY_JWT_ISSUER_DISCOVERY_URI -e DATAPRISM_SECURITY_CALLER_CLAIMS_PRINCIPAL -e DATAPRISM_SECURITY_CALLER_CLAIMS_ROLES -e DATAPRISM_SECURITY_CALLER_CLAIMS_INVESTIGATION -e DATAPRISM_SECURITY_POLICY_PURPOSES -e DATAPRISM_SECURITYPOLICY_ROLES_INVESTIGATOR -e DATAPRISM_PRIVACY_PROFILE -e DATAPRISM_PRIVACY_SCOPE_LIFETIME -e DATAPRISM_PRIVACY_HMAC_KEY_KEY_ID -e DATAPRISM_PRIVACY_HMAC_KEY_ENVIRONMENT_VARIABLE -e DATAPRISM_PRIVACY_HMAC_KEY_PROVIDER_REFERENCE -e DATAPRISM_AUDIT_SINK -e DATAPRISM_AUDIT_WRITER_ID -e DATAPRISM_AUDIT_FILE_PATH -e DATAPRISM_METRICS_SINK -e DATAPRISM_HAZELCAST_TOPOLOGY -e DATAPRISM_HAZELCAST_CLUSTERNAME -e DATAPRISM_HAZELCAST_JOIN_MODE -e DATAPRISM_HAZELCAST_JOIN_MEMBERS -e DATAPRISM_HAZELCAST_MEMBER_PORT -e DATAPRISM_OPERATOR_ENABLED -e DATAPRISM_OPERATOR_PORT -e DATAPRISM_OPERATOR_REQUIREDAUDIENCE -e DATAPRISM_OPERATOR_REQUIREDSCOPE -e DATAPRISM_SOURCES_CUSTOMER_BASE_URL -e DATAPRISM_SOURCES_CUSTOMER_TIMEOUT ghcr.io/aindriub/data-prism-server:0.7.1실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"data-prism": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"LOADER_PATH",
"-e",
"DATAPRISM_SECURITY_JWT_ISSUER",
"-e",
"DATAPRISM_SECURITY_JWT_AUDIENCE",
"-e",
"DATAPRISM_SECURITY_JWT_JWK_SET_URI",
"-e",
"DATAPRISM_SECURITY_JWT_ISSUER_DISCOVERY_URI",
"-e",
"DATAPRISM_SECURITY_CALLER_CLAIMS_PRINCIPAL",
"-e",
"DATAPRISM_SECURITY_CALLER_CLAIMS_ROLES",
"-e",
"DATAPRISM_SECURITY_CALLER_CLAIMS_INVESTIGATION",
"-e",
"DATAPRISM_SECURITY_POLICY_PURPOSES",
"-e",
"DATAPRISM_SECURITYPOLICY_ROLES_INVESTIGATOR",
"-e",
"DATAPRISM_PRIVACY_PROFILE",
"-e",
"DATAPRISM_PRIVACY_SCOPE_LIFETIME",
"-e",
"DATAPRISM_PRIVACY_HMAC_KEY_KEY_ID",
"-e",
"DATAPRISM_PRIVACY_HMAC_KEY_ENVIRONMENT_VARIABLE",
"-e",
"DATAPRISM_PRIVACY_HMAC_KEY_PROVIDER_REFERENCE",
"-e",
"DATAPRISM_AUDIT_SINK",
"-e",
"DATAPRISM_AUDIT_WRITER_ID",
"-e",
"DATAPRISM_AUDIT_FILE_PATH",
"-e",
"DATAPRISM_METRICS_SINK",
"-e",
"DATAPRISM_HAZELCAST_TOPOLOGY",
"-e",
"DATAPRISM_HAZELCAST_CLUSTERNAME",
"-e",
"DATAPRISM_HAZELCAST_JOIN_MODE",
"-e",
"DATAPRISM_HAZELCAST_JOIN_MEMBERS",
"-e",
"DATAPRISM_HAZELCAST_MEMBER_PORT",
"-e",
"DATAPRISM_OPERATOR_ENABLED",
"-e",
"DATAPRISM_OPERATOR_PORT",
"-e",
"DATAPRISM_OPERATOR_REQUIREDAUDIENCE",
"-e",
"DATAPRISM_OPERATOR_REQUIREDSCOPE",
"-e",
"DATAPRISM_SOURCES_CUSTOMER_BASE_URL",
"-e",
"DATAPRISM_SOURCES_CUSTOMER_TIMEOUT",
"ghcr.io/aindriub/data-prism-server:0.7.1"
],
"env": {
"LOADER_PATH": "your-value",
"DATAPRISM_SECURITY_JWT_ISSUER": "your-value",
"DATAPRISM_SECURITY_JWT_AUDIENCE": "your-value",
"DATAPRISM_SECURITY_JWT_JWK_SET_URI": "your-value",
"DATAPRISM_SECURITY_JWT_ISSUER_DISCOVERY_URI": "your-value",
"DATAPRISM_SECURITY_CALLER_CLAIMS_PRINCIPAL": "your-value",
"DATAPRISM_SECURITY_CALLER_CLAIMS_ROLES": "your-value",
"DATAPRISM_SECURITY_CALLER_CLAIMS_INVESTIGATION": "your-value",
"DATAPRISM_SECURITY_POLICY_PURPOSES": "your-value",
"DATAPRISM_SECURITYPOLICY_ROLES_INVESTIGATOR": "your-value",
"DATAPRISM_PRIVACY_PROFILE": "your-value",
"DATAPRISM_PRIVACY_SCOPE_LIFETIME": "your-value",
"DATAPRISM_PRIVACY_HMAC_KEY_KEY_ID": "your-value",
"DATAPRISM_PRIVACY_HMAC_KEY_ENVIRONMENT_VARIABLE": "your-value",
"DATAPRISM_PRIVACY_HMAC_KEY_PROVIDER_REFERENCE": "your-value",
"DATAPRISM_AUDIT_SINK": "your-value",
"DATAPRISM_AUDIT_WRITER_ID": "your-value",
"DATAPRISM_AUDIT_FILE_PATH": "your-value",
"DATAPRISM_METRICS_SINK": "your-value",
"DATAPRISM_HAZELCAST_TOPOLOGY": "your-value",
"DATAPRISM_HAZELCAST_CLUSTERNAME": "your-value",
"DATAPRISM_HAZELCAST_JOIN_MODE": "your-value",
"DATAPRISM_HAZELCAST_JOIN_MEMBERS": "your-value",
"DATAPRISM_HAZELCAST_MEMBER_PORT": "your-value",
"DATAPRISM_OPERATOR_ENABLED": "your-value",
"DATAPRISM_OPERATOR_PORT": "your-value",
"DATAPRISM_OPERATOR_REQUIREDAUDIENCE": "your-value",
"DATAPRISM_OPERATOR_REQUIREDSCOPE": "your-value",
"DATAPRISM_SOURCES_CUSTOMER_BASE_URL": "your-value",
"DATAPRISM_SOURCES_CUSTOMER_TIMEOUT": "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": {
"data-prism": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"LOADER_PATH",
"-e",
"DATAPRISM_SECURITY_JWT_ISSUER",
"-e",
"DATAPRISM_SECURITY_JWT_AUDIENCE",
"-e",
"DATAPRISM_SECURITY_JWT_JWK_SET_URI",
"-e",
"DATAPRISM_SECURITY_JWT_ISSUER_DISCOVERY_URI",
"-e",
"DATAPRISM_SECURITY_CALLER_CLAIMS_PRINCIPAL",
"-e",
"DATAPRISM_SECURITY_CALLER_CLAIMS_ROLES",
"-e",
"DATAPRISM_SECURITY_CALLER_CLAIMS_INVESTIGATION",
"-e",
"DATAPRISM_SECURITY_POLICY_PURPOSES",
"-e",
"DATAPRISM_SECURITYPOLICY_ROLES_INVESTIGATOR",
"-e",
"DATAPRISM_PRIVACY_PROFILE",
"-e",
"DATAPRISM_PRIVACY_SCOPE_LIFETIME",
"-e",
"DATAPRISM_PRIVACY_HMAC_KEY_KEY_ID",
"-e",
"DATAPRISM_PRIVACY_HMAC_KEY_ENVIRONMENT_VARIABLE",
"-e",
"DATAPRISM_PRIVACY_HMAC_KEY_PROVIDER_REFERENCE",
"-e",
"DATAPRISM_AUDIT_SINK",
"-e",
"DATAPRISM_AUDIT_WRITER_ID",
"-e",
"DATAPRISM_AUDIT_FILE_PATH",
"-e",
"DATAPRISM_METRICS_SINK",
"-e",
"DATAPRISM_HAZELCAST_TOPOLOGY",
"-e",
"DATAPRISM_HAZELCAST_CLUSTERNAME",
"-e",
"DATAPRISM_HAZELCAST_JOIN_MODE",
"-e",
"DATAPRISM_HAZELCAST_JOIN_MEMBERS",
"-e",
"DATAPRISM_HAZELCAST_MEMBER_PORT",
"-e",
"DATAPRISM_OPERATOR_ENABLED",
"-e",
"DATAPRISM_OPERATOR_PORT",
"-e",
"DATAPRISM_OPERATOR_REQUIREDAUDIENCE",
"-e",
"DATAPRISM_OPERATOR_REQUIREDSCOPE",
"-e",
"DATAPRISM_SOURCES_CUSTOMER_BASE_URL",
"-e",
"DATAPRISM_SOURCES_CUSTOMER_TIMEOUT",
"ghcr.io/aindriub/data-prism-server:0.7.1"
],
"env": {
"LOADER_PATH": "your-value",
"DATAPRISM_SECURITY_JWT_ISSUER": "your-value",
"DATAPRISM_SECURITY_JWT_AUDIENCE": "your-value",
"DATAPRISM_SECURITY_JWT_JWK_SET_URI": "your-value",
"DATAPRISM_SECURITY_JWT_ISSUER_DISCOVERY_URI": "your-value",
"DATAPRISM_SECURITY_CALLER_CLAIMS_PRINCIPAL": "your-value",
"DATAPRISM_SECURITY_CALLER_CLAIMS_ROLES": "your-value",
"DATAPRISM_SECURITY_CALLER_CLAIMS_INVESTIGATION": "your-value",
"DATAPRISM_SECURITY_POLICY_PURPOSES": "your-value",
"DATAPRISM_SECURITYPOLICY_ROLES_INVESTIGATOR": "your-value",
"DATAPRISM_PRIVACY_PROFILE": "your-value",
"DATAPRISM_PRIVACY_SCOPE_LIFETIME": "your-value",
"DATAPRISM_PRIVACY_HMAC_KEY_KEY_ID": "your-value",
"DATAPRISM_PRIVACY_HMAC_KEY_ENVIRONMENT_VARIABLE": "your-value",
"DATAPRISM_PRIVACY_HMAC_KEY_PROVIDER_REFERENCE": "your-value",
"DATAPRISM_AUDIT_SINK": "your-value",
"DATAPRISM_AUDIT_WRITER_ID": "your-value",
"DATAPRISM_AUDIT_FILE_PATH": "your-value",
"DATAPRISM_METRICS_SINK": "your-value",
"DATAPRISM_HAZELCAST_TOPOLOGY": "your-value",
"DATAPRISM_HAZELCAST_CLUSTERNAME": "your-value",
"DATAPRISM_HAZELCAST_JOIN_MODE": "your-value",
"DATAPRISM_HAZELCAST_JOIN_MEMBERS": "your-value",
"DATAPRISM_HAZELCAST_MEMBER_PORT": "your-value",
"DATAPRISM_OPERATOR_ENABLED": "your-value",
"DATAPRISM_OPERATOR_PORT": "your-value",
"DATAPRISM_OPERATOR_REQUIREDAUDIENCE": "your-value",
"DATAPRISM_OPERATOR_REQUIREDSCOPE": "your-value",
"DATAPRISM_SOURCES_CUSTOMER_BASE_URL": "your-value",
"DATAPRISM_SOURCES_CUSTOMER_TIMEOUT": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
DATAPRISM_SECURITY_JWT_ISSUER_DISCOVERY_URI envDATAPRISM_PRIVACY_HMAC_KEY_PROVIDER_REFERENCE envDATAPRISM_AUDIT_FILE_PATH envDATAPRISM_HAZELCAST_CLUSTERNAME envDATAPRISM_HAZELCAST_JOIN_MODE envDATAPRISM_HAZELCAST_JOIN_MEMBERS envDATAPRISM_HAZELCAST_MEMBER_PORT envDATAPRISM_OPERATOR_ENABLED envDATAPRISM_OPERATOR_PORT envDATAPRISM_OPERATOR_REQUIREDAUDIENCE envDATAPRISM_OPERATOR_REQUIREDSCOPE env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 AindriuB 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
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: LOADER_PATH, DATAPRISM_SECURITY_JWT_ISSUER, DATAPRISM_SECURITY_JWT_AUDIENCE, DATAPRISM_SECURITY_JWT_JWK_SET_URI, DATAPRISM_SECURITY_CALLER_CLAIMS_PRINCIPAL, DATAPRISM_SECURITY_CALLER_CLAIMS_ROLES, DATAPRISM_SECURITY_CALLER_CLAIMS_INVESTIGATION, DATAPRISM_SECURITY_POLICY_PURPOSES, DATAPRISM_SECURITYPOLICY_ROLES_INVESTIGATOR, DATAPRISM_PRIVACY_PROFILE, DATAPRISM_PRIVACY_SCOPE_LIFETIME, DATAPRISM_PRIVACY_HMAC_KEY_KEY_ID, DATAPRISM_PRIVACY_HMAC_KEY_ENVIRONMENT_VARIABLE, DATAPRISM_AUDIT_SINK, DATAPRISM_AUDIT_WRITER_ID, DATAPRISM_METRICS_SINK, DATAPRISM_HAZELCAST_TOPOLOGY, DATAPRISM_SOURCES_CUSTOMER_BASE_URL, DATAPRISM_SOURCES_CUSTOMER_TIMEOUT
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.7.1)은 15일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Docker도 있어야 해요.
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
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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.
Fail-closed privacy layer that pseudonymises enterprise API data for LLM agents and MCP clients.
Data Prism is an open-source privacy layer for Java/Spring teams putting LLM agents or MCP clients in front of internal APIs holding customer data. It pseudonymises personal data per privacy scope, refuses anything unclassified, and can keep a hash-chained audit trail.
What it is. A privacy enforcement layer for enterprise AI. It gives LLM agents useful, correlated business context — one consistent synthetic identity per entity within a privacy scope — while controlling which personal data crosses the AI boundary, and in what form.
Who it's for. Java/Spring platform and backend teams putting LLM agents or MCP clients in front of internal APIs that hold customer data. If nothing you run exposes personal data to a model, you don't need this.
Status: the walking skeleton and every slice through S9a are built, with 18 Maven submodules (19 Maven projects in the reactor counting the root pom-packaged aggregator itself) and a passing test suite. The privacy engine, correlation and consistency findings, parallel mTLS connectors, an embedded Hazelcast identity cache and read budget (shared only across members that have joined one cluster; see multiple instances), an OAuth2 resource server with session-derived PrivacyContext, audit and metrics are all real and exercised end to end. The standalone server is the primary deployment surface; the Spring Boot starter is the embedded option. A one-command local Compose quickstart also exists: see "Try it" below. Two MCP tools ship today, get_entity_context and compare_entity_sources — the other two named in the design review, search_entity_data and describe_entity_model, are not yet built (docs/tools.md "Not yet built"). A durable, append-only, hash-chained audit sink and an offline AuditChainVerifier ship as of 0.3.0, opt-in via dataprism.audit.sink: hash-chained; the verifier catches an edit or deletion inside a writer's chain, but cannot detect truncation of a writer's most recent records or the deletion of a whole process boot's records, and the trail does not resist an operator, or anyone else, who already has write access to the file (docs/audit.md "What this does and does not prove"). Not built: the re-identification operator surface (deferred past V1 by decision, see docs/architecture.md#decisions-worth-knowing) and the Elasticsearch connector and its search tools. See docs/plan/PLAN.md for what is open.
An organisation wants an LLM to investigate live business data spread across several systems. Giving the model direct API access is not acceptable: those APIs carry personal and confidential data, each system represents the same entity differently, and raw identifiers let anything downstream correlate across sessions.
The obvious fix — redact everything sensitive — destroys the investigation. Once three systems' names for one person are all [REDACTED], the model cannot tell whether it is looking at one person or three.
It sits between the two and does two things that are easy to confuse:
It makes identity consistent. One subject gets one synthetic identity across every source, derived deterministically from (scope, subject, namespace, algorithm version, key) — never random, never stored in plaintext, and reproducible without the cache. The same person in three systems reads as one person to the model.
It leaves the data inconsistent, and says so. If those three systems disagree about a name, the answer carries a finding that says they disagree. The platform never makes enterprise data look cleaner than it is. That distinction is the point of the project:
Identity representation becomes consistent. Underlying data inconsistencies
become *more* visible, not less.
Pseudonyms are scoped. The same person in two different investigations gets two different synthetic identities, so nothing correlates across cases by accident.
Not an API gateway, not an ETL platform, not a master-data system, not an identity provider, and not an entity-resolution engine — correlation requires a key the sources already share, behind a documented SPI. It carries no business domain: no Customer, Taxpayer or Employee type exists outside the example application.
It is not anonymisation. Under GDPR Art. 4(5), pseudonymised data is still personal data. Sending Data Prism output to a third-party model is still processing, and still needs a lawful basis, a DPIA, and a transfer mechanism where the provider is outside the EU. The platform reduces exposure; it does not remove the obligation.
The fastest way to see a real MCP call answered by the real privacy engine — no local JDK, no Maven install, one command:
docker compose up
pulls the published ghcr.io/aindriub/data-prism-quickstart- images (pin one with QUICKSTART_IMAGE_TAG=0.7.0; run docker compose -f compose.yaml -f compose.build.yaml up --build instead to build every image from source) and brings up the standalone server, a synthetic fixture API and a local HTTPS JWT issuer, proving an agent-compatible get_entity_context call returns a pseudonymised response. Walk through it in docs/quickstart.md; connect your own agent client to either that stack or a real deployment via docs/agents/.
Once you have seen the demo, protect your own API: docs/quickstart.md ends with a "What next" section pointing at docs/protect-your-own-api.md, a YAML-only walkthrough from a real JSON REST API to a working get_entity_context call.
The ghcr.io/aindriub/data-prism-server image listed there is published as a multi-architecture manifest list covering linux/amd64 and linux/arm64, each built and verified natively — docker run on Apple Silicon or any other arm64 host pulls the arm64 image directly, no emulation required.
It is not a one-command install, on either architecture. docker run alone yields a server that refuses to start: DataPrismContractValidator demands a reviewed DataSourceAdapter bean for every configured source, and DataPrismProperties.validate() demands a full deployment configuration (JWT issuer/audience/JWKS, caller-claim mappings, security policy, HMAC key reference, audit sink, metrics sink, Hazelcast topology). Neither ships in the image. Two things an operator must supply themselves before it serves anything:
dataprism.* vocabulary.docs/configuration.md is the authoritative, complete contract for both. The "Try it" section above is a local Compose fixture for evaluation, not this image or that configuration.
The full set of user docs is also published, rendered and searchable, at https://aindriub.github.io/data-prism/.
Each row links the site page and the repo file it is built from.
| Doc | Site | What it covers |
|---|---|---|
docs/quickstart.md | quickstart/ | One-command local Compose demonstration — start here |
docs/protect-your-own-api.md | protect-your-own-api/ | Pointing Data Prism at your own API instead of the fixture |
docs/configuration.md | configuration/ | The authoritative, complete dataprism.* deployment configuration contract |
docs/tools.md | tools/ | What each shipped MCP tool takes and returns, worked examples |
docs/extending.md | extending/ | Protecting a new source: a reviewed Java adapter, or the configuration-driven JSON REST mode |
docs/audit.md | audit/ | What the hash-chained audit trail records, and how to verify it |
docs/architecture.md | architecture/ | Module map, dependency rules, the boundaries that must not be crossed, dated decisions |
docs/agents/ | agents/ | Connecting an MCP agent client, local fixture or authenticated remote |
docs/agents/stdio.md | agents/stdio/ | The local stdio fixture workflow: a real MCP tool call with no JWT, network call or source system |
docs/agents/remote-http.md | agents/remote-http/ | The authenticated Streamable HTTP workflow against a real MCP endpoint; no development bypass |
docs/faq.md | faq/ | Direct answers on pseudonymisation, PII detection, Java requirements, the audit trail and prompt injection |
docs/comparison.md | comparison/ | How Data Prism compares to Presidio, LLM Guard, NeMo Guardrails and MCP gateways or proxies |
docs/use-cases/pseudonymise-customer-data-spring-boot.md | use-cases/pseudonymise-customer-data-spring-boot/ | Pseudonymising customer data from a Spring Boot API before an LLM agent sees it |
docs/use-cases/gdpr-data-minimisation-mcp.md | use-cases/gdpr-data-minimisation-mcp/ | GDPR data minimisation for MCP tools |
docs/use-cases/consistent-pseudonyms-across-systems.md | use-cases/consistent-pseudonyms-across-systems/ | Keeping one customer recognisable across systems without exposing identity |
CHANGELOG.md | changelog/ | Every notable Data Prism change by version, in Keep a Changelog format |
Not published on the site.
| Doc | What it covers |
|---|---|
docs/design-review.md | Amendments to the specification, with reasoning. Authoritative |
docs/development-plan.md | Slice order, sizing, and the decisions that block the first one |
docs/pack.md | The original specification. Superseded and historical; describes tools that were never built |
| [docs/conventions.md](docs/conventio
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