{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-prisma-postgres","slug":"prisma-postgres","name":"Prisma Postgres","type":"mcp","url":"https://github.com/prisma/mcp","page_url":"https://unfragile.ai/prisma-postgres","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-prisma-postgres__cap_0","uri":"capability://tool.use.integration.prisma.database.provisioning.and.lifecycle.management.via.mcp","name":"prisma database provisioning and lifecycle management via mcp","description":"Enables LLMs to programmatically provision new Postgres databases through Prisma's managed infrastructure, handling database creation, configuration, and teardown via MCP protocol. Implements a stateful resource management pattern where the MCP server translates LLM tool calls into Prisma API requests that manage database instances, returning connection strings and metadata for downstream operations.","intents":["Spin up isolated test databases for each LLM conversation or workflow","Automatically provision staging databases for multi-tenant applications","Create ephemeral databases for data processing pipelines without manual infrastructure setup","Manage database lifecycle (create, configure, destroy) as part of autonomous agent workflows"],"best_for":["AI agents and autonomous systems requiring dynamic database provisioning","Teams building multi-tenant SaaS applications with LLM-driven database management","Developers prototyping data-intensive applications without manual DevOps overhead"],"limitations":["Requires valid Prisma account and API credentials; cannot provision databases without authentication","Database provisioning latency (typically 30-60 seconds) may not suit real-time interactive workflows","Limited to Prisma Postgres managed infrastructure; cannot provision to arbitrary Postgres instances or other database engines","No built-in cost controls or quota enforcement; LLMs could theoretically provision unlimited databases without guardrails"],"requires":["Prisma account with active subscription or free tier access","Valid Prisma API key or authentication token","MCP-compatible client (Claude, other LLM platforms with MCP support)","Network connectivity to Prisma infrastructure endpoints"],"input_types":["tool call parameters (database name, region, configuration options)","structured JSON schemas defining database requirements"],"output_types":["connection strings (postgres://user:password@host:port/dbname)","database metadata (ID, region, status, creation timestamp)","structured JSON responses with provisioning status"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-prisma-postgres__cap_1","uri":"capability://automation.workflow.schema.driven.migration.execution.and.version.control","name":"schema-driven migration execution and version control","description":"Allows LLMs to execute Prisma migrations against provisioned databases by translating migration files into executable operations through the MCP interface. The system reads Prisma schema definitions and migration history, validates migration applicability, and executes SQL transformations while tracking applied migrations to prevent duplicate or conflicting changes.","intents":["Apply pending migrations to a database as part of an automated deployment workflow","Validate schema compatibility before running migrations in production","Rollback or replay migrations to recover from failed deployments","Generate and execute migrations based on schema changes suggested by LLM reasoning"],"best_for":["CI/CD pipelines where LLMs orchestrate database schema evolution","Autonomous agents managing multi-environment database deployments","Development teams using Prisma ORM who want LLM-assisted schema management"],"limitations":["Migrations must be pre-generated by Prisma CLI or LLM; cannot infer arbitrary SQL transformations from natural language","No rollback capability for destructive migrations (e.g., DROP COLUMN); must rely on Prisma's migration history and manual intervention","Migration execution is sequential and blocking; cannot parallelize migrations across multiple databases","Requires Prisma schema file to be accessible and up-to-date; stale schemas may cause migration conflicts"],"requires":["Prisma project with initialized schema (schema.prisma file)","Prisma migrations directory with .sql migration files","Database connection credentials and network access","Prisma CLI or equivalent migration engine runtime"],"input_types":["migration identifiers (migration names or timestamps)","schema.prisma file content","database connection parameters"],"output_types":["migration execution status (success, failure, pending)","applied migration history with timestamps","SQL statements executed during migration","error logs and rollback instructions"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-prisma-postgres__cap_2","uri":"capability://data.processing.analysis.sql.query.execution.with.prisma.schema.context","name":"sql query execution with prisma schema context","description":"Enables LLMs to execute arbitrary SQL queries against Prisma-managed databases while maintaining awareness of the Prisma schema, allowing the LLM to understand table structures, relationships, and constraints. Queries are executed through Prisma's query engine, which provides type safety and connection pooling, with results returned as structured JSON that maps to Prisma model definitions.","intents":["Run analytical queries to inspect database state during agent workflows","Execute complex joins or aggregations that are difficult to express through Prisma's ORM","Validate data integrity or consistency as part of automated testing","Generate reports or summaries from database contents for decision-making"],"best_for":["Data analysis and reporting workflows driven by LLM reasoning","Autonomous agents that need to inspect database state before making decisions","Teams combining Prisma ORM with ad-hoc analytical queries"],"limitations":["SQL injection risk if LLM-generated queries are not sanitized; requires parameterized query support or query validation","Query execution time is unbounded; long-running queries can block agent workflows without timeout enforcement","Results are limited by connection pool size and memory; very large result sets may cause performance degradation","No query optimization or explain plan analysis; LLMs cannot reason about query performance without external tools"],"requires":["Active database connection with credentials","Prisma schema file to provide context for query validation","SQL dialect compatible with Postgres (Prisma's supported database)","Query execution permissions on target tables"],"input_types":["SQL query strings (SELECT, INSERT, UPDATE, DELETE)","parameterized query values","Prisma schema context (optional, for validation)"],"output_types":["JSON-formatted query results","row counts and affected rows","error messages and query execution time","schema metadata (column types, constraints)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-prisma-postgres__cap_3","uri":"capability://memory.knowledge.prisma.schema.introspection.and.model.discovery","name":"prisma schema introspection and model discovery","description":"Provides LLMs with programmatic access to Prisma schema metadata, including model definitions, field types, relationships, and constraints. The MCP server parses the schema.prisma file and exposes a structured representation that allows LLMs to understand the database structure without executing queries, enabling schema-aware code generation and query planning.","intents":["Understand available models and relationships before generating queries or mutations","Generate type-safe Prisma client code based on schema definitions","Validate proposed schema changes against existing constraints and relationships","Provide context to LLMs about database structure for reasoning and planning"],"best_for":["LLM-driven code generation tools that need to produce Prisma-compatible code","Autonomous agents that reason about database structure before executing operations","Documentation and schema visualization tools powered by LLMs"],"limitations":["Schema introspection is static; does not reflect runtime changes or data migrations in progress","Custom field attributes or Prisma extensions may not be fully exposed in the introspection output","Relationship cardinality and constraints are inferred from schema syntax; complex business logic constraints cannot be discovered","No support for introspecting database-level constraints that are not reflected in the Prisma schema"],"requires":["Prisma schema file (schema.prisma) accessible to the MCP server","Prisma schema parser or equivalent AST analysis tool","Valid Prisma project structure"],"input_types":["model names or field names to query","relationship traversal requests","schema validation queries"],"output_types":["JSON schema definitions (models, fields, types, relationships)","field metadata (nullable, unique, indexed, default values)","relationship definitions (one-to-many, many-to-many, foreign keys)","enum and custom type definitions"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-prisma-postgres__cap_4","uri":"capability://automation.workflow.multi.database.transaction.coordination.and.isolation","name":"multi-database transaction coordination and isolation","description":"Enables LLMs to execute multiple database operations as atomic transactions, ensuring consistency across related changes. The MCP server manages transaction lifecycle (BEGIN, COMMIT, ROLLBACK) and provides isolation level configuration, allowing agents to coordinate complex multi-step operations that must succeed or fail together.","intents":["Execute multi-step data transformations that must be atomic (all-or-nothing)","Coordinate changes across related tables while maintaining referential integrity","Implement saga-like patterns for distributed workflows with automatic rollback on failure","Ensure consistency when LLM-generated operations depend on intermediate results"],"best_for":["Autonomous agents performing complex data mutations with consistency requirements","Financial or transactional systems where data integrity is critical","Multi-step workflows where partial failures must trigger rollback"],"limitations":["Transaction deadlocks are possible if LLM-generated queries access tables in conflicting order; no automatic deadlock detection or retry logic","Long-running transactions block other operations and consume connection pool resources; no automatic timeout or transaction duration limits","Isolation level configuration is static; LLMs cannot dynamically adjust isolation levels based on conflict patterns","No support for distributed transactions across multiple Prisma databases; transactions are single-database only"],"requires":["Active database connection with transaction support","Prisma transaction API or equivalent (Prisma.$transaction)","Sufficient connection pool capacity to reserve connections for transactions"],"input_types":["sequence of SQL operations or Prisma client calls","isolation level specification (READ UNCOMMITTED, READ COMMITTED, REPEATABLE READ, SERIALIZABLE)","transaction timeout configuration"],"output_types":["transaction status (committed, rolled back, in-progress)","affected row counts per operation","error details if transaction fails","transaction ID for auditing"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-prisma-postgres__cap_5","uri":"capability://tool.use.integration.database.connection.pooling.and.credential.management","name":"database connection pooling and credential management","description":"Manages Postgres connection pooling and credential lifecycle for LLM-driven database operations, abstracting connection details from the LLM. The MCP server maintains a pool of reusable connections, handles credential rotation, and enforces connection limits to prevent resource exhaustion.","intents":["Reuse database connections across multiple LLM tool calls without reconnection overhead","Securely manage database credentials without exposing them to the LLM","Prevent connection pool exhaustion from runaway LLM workflows","Support multiple database instances with different credentials in a single agent session"],"best_for":["Long-running LLM agents that execute many database operations","Multi-tenant systems where each tenant has separate database credentials","Production environments requiring secure credential handling and connection limits"],"limitations":["Connection pool size is fixed at startup; cannot dynamically scale based on LLM demand","Credential rotation requires MCP server restart; no hot-reload capability","Connection timeout and idle connection cleanup are static; cannot be adjusted per-operation","No built-in monitoring or alerting for connection pool exhaustion or slow queries"],"requires":["Prisma connection string or DATABASE_URL environment variable","Connection pool configuration (pool size, timeout, idle timeout)","Postgres server with network accessibility"],"input_types":["database connection parameters (host, port, user, password, database)","pool configuration (min/max connections, timeout values)","credential rotation requests"],"output_types":["connection pool status (active connections, idle connections, queue depth)","credential validation results","connection error details"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-prisma-postgres__cap_6","uri":"capability://automation.workflow.seed.data.generation.and.database.initialization","name":"seed data generation and database initialization","description":"Enables LLMs to populate newly provisioned databases with seed data using Prisma's seed mechanism, allowing agents to initialize databases with test fixtures or baseline data. The MCP server executes seed scripts (typically TypeScript or JavaScript) that use the Prisma client to insert initial data, supporting both deterministic and randomized seed generation.","intents":["Initialize test databases with realistic sample data for testing LLM-driven workflows","Populate staging environments with baseline data for development and QA","Generate reproducible test scenarios by seeding databases with known data","Create multi-tenant database instances with tenant-specific initial data"],"best_for":["Testing frameworks that use LLMs to validate database-driven applications","Development workflows where agents need to initialize databases with test data","Autonomous systems that provision and initialize databases as part of setup"],"limitations":["Seed scripts must be pre-written; LLMs cannot generate arbitrary seed data without a seed script template","Seed execution is synchronous and blocking; large seed datasets may cause provisioning delays","No built-in idempotency; re-running seeds may create duplicate data unless the seed script implements upsert logic","Seed scripts are typically TypeScript/JavaScript; cannot use arbitrary languages or external data sources without custom integration"],"requires":["Prisma seed script (prisma/seed.ts or equivalent)","Node.js runtime with TypeScript/JavaScript support","Prisma client initialized in the seed script","Database connection and schema already applied"],"input_types":["seed script path or identifier","seed parameters (number of records, randomization seed, tenant ID)","data templates or fixtures"],"output_types":["seed execution status (success, failure)","number of records created","seed execution time","error logs if seed fails"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-prisma-postgres__cap_7","uri":"capability://safety.moderation.error.handling.and.query.validation.with.schema.awareness","name":"error handling and query validation with schema awareness","description":"Provides intelligent error handling and pre-execution validation for LLM-generated database operations, catching schema violations, type mismatches, and constraint violations before execution. The system validates queries against the Prisma schema, provides detailed error messages, and suggests corrections based on schema context.","intents":["Catch schema violations in LLM-generated queries before they fail at runtime","Provide LLMs with detailed error context to enable self-correction","Validate data types and constraints before inserting or updating records","Generate helpful error messages that explain why a query failed and how to fix it"],"best_for":["Autonomous agents that need to learn from errors and self-correct","Interactive LLM applications where error feedback improves query generation","Production systems where preventing invalid queries is critical"],"limitations":["Validation is limited to schema-level constraints; business logic constraints cannot be validated without custom rules","Error messages are generated by Prisma; LLM comprehension of technical error details may vary","Pre-execution validation adds latency; complex queries may require significant validation time","Cannot predict all runtime errors (e.g., deadlocks, connection failures); validation is best-effort"],"requires":["Prisma schema file for validation context","Prisma schema parser or validation engine","Query or mutation to validate"],"input_types":["SQL queries or Prisma client operations","data to insert or update","schema context for validation"],"output_types":["validation status (valid, invalid)","detailed error messages with field/constraint context","suggested corrections or alternatives","execution warnings (e.g., performance concerns)"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":29,"verified":false,"data_access_risk":"high","permissions":["Prisma account with active subscription or free tier access","Valid Prisma API key or authentication token","MCP-compatible client (Claude, other LLM platforms with MCP support)","Network connectivity to Prisma infrastructure endpoints","Prisma project with initialized schema (schema.prisma file)","Prisma migrations directory with .sql migration files","Database connection credentials and network access","Prisma CLI or equivalent migration engine runtime","Active database connection with credentials","Prisma schema file to provide context for query validation"],"failure_modes":["Requires valid Prisma account and API credentials; cannot provision databases without authentication","Database provisioning latency (typically 30-60 seconds) may not suit real-time interactive workflows","Limited to Prisma Postgres managed infrastructure; cannot provision to arbitrary Postgres instances or other database engines","No built-in cost controls or quota enforcement; LLMs could theoretically provision unlimited databases without guardrails","Migrations must be pre-generated by Prisma CLI or LLM; cannot infer arbitrary SQL transformations from natural language","No rollback capability for destructive migrations (e.g., DROP COLUMN); must rely on Prisma's migration history and manual intervention","Migration execution is sequential and blocking; cannot parallelize migrations across multiple databases","Requires Prisma schema file to be accessible and up-to-date; stale schemas may cause migration conflicts","SQL injection risk if LLM-generated queries are not sanitized; requires parameterized query support or query validation","Query execution time is unbounded; long-running queries can block agent workflows without timeout enforcement","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.41,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.047Z","last_scraped_at":"2026-05-03T14:00:15.503Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=prisma-postgres","compare_url":"https://unfragile.ai/compare?artifact=prisma-postgres"}},"signature":"Rt8OECegu7yavziP8caWKa9Is2Mjr1Z2K5gn5V36CRShctvW5wEnjLRRmtWNB5r5G0pPEmg7g+GBGLrP5ktsBg==","signedAt":"2026-06-22T14:23:12.608Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/prisma-postgres","artifact":"https://unfragile.ai/prisma-postgres","verify":"https://unfragile.ai/api/v1/verify?slug=prisma-postgres","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}