{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"prisma-mcp-server","slug":"prisma-mcp-server","name":"Prisma MCP Server","type":"mcp","url":"https://github.com/prisma/prisma-mcp-server","page_url":"https://unfragile.ai/prisma-mcp-server","categories":["mcp-servers"],"tags":["prisma","orm","database","official"],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"prisma-mcp-server__cap_0","uri":"capability://tool.use.integration.schema.aware.database.querying.via.mcp.protocol","name":"schema-aware database querying via mcp protocol","description":"Exposes Prisma Client query capabilities through the Model Context Protocol, allowing Claude and other MCP clients to execute type-safe database queries against any Prisma-supported database (PostgreSQL, MySQL, SQLite, MongoDB, etc.). Implements MCP tool definitions that map Prisma's generated client methods into callable tools with schema-aware parameter validation, enabling LLM agents to construct and execute queries without direct database access.","intents":["I want Claude to query my database and fetch records based on natural language requests","I need an LLM agent to read data from my database as part of a larger workflow","I want to expose database queries to Claude without giving it raw SQL access"],"best_for":["teams building AI agents that need database read/write capabilities","developers integrating Claude with existing Prisma-based applications","builders prototyping LLM-driven data applications with type safety"],"limitations":["Limited to Prisma Client's query API surface — complex raw SQL queries must be wrapped in Prisma methods or custom procedures","No built-in query result pagination or streaming — large result sets are returned in full","Schema changes require Prisma schema regeneration and MCP server restart to expose new models/fields","Performance depends on underlying database and Prisma Client connection pooling configuration"],"requires":["Prisma 5.0+ with generated Prisma Client","Node.js 18+","Valid DATABASE_URL environment variable pointing to supported database","MCP client implementation (Claude Desktop, custom MCP host, etc.)"],"input_types":["structured tool parameters (model name, where conditions, select fields)","natural language (via MCP client interpretation)"],"output_types":["JSON-serialized database records","structured query results matching Prisma Client response types"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"prisma-mcp-server__cap_1","uri":"capability://memory.knowledge.prisma.schema.introspection.and.model.discovery","name":"prisma schema introspection and model discovery","description":"Provides MCP tools that inspect the Prisma schema at runtime, exposing all available models, fields, relations, and constraints without requiring manual documentation. Uses Prisma's schema introspection API to dynamically discover database structure and generate tool descriptions that Claude can use to understand what data is queryable, enabling context-aware query construction by LLM agents.","intents":["I want Claude to understand what database models and fields are available before constructing queries","I need to expose my database schema structure to an LLM agent for discovery and exploration","I want to generate documentation or help text about available database models dynamically"],"best_for":["developers building self-documenting LLM agents","teams with frequently-changing schemas who want schema discovery to stay in sync","builders creating multi-tenant systems where schema varies per tenant"],"limitations":["Introspection is read-only — cannot modify schema through MCP tools","Relation cardinality and constraints are exposed but complex business logic rules must be documented separately","Schema introspection happens at server startup — runtime schema changes (e.g., from migrations) require server restart to reflect"],"requires":["Prisma schema file (prisma/schema.prisma) accessible to server process","Prisma 5.0+ with schema generation enabled","Node.js 18+"],"input_types":["none — introspection is automatic on server initialization"],"output_types":["JSON schema definitions of models, fields, enums, and relations","structured metadata about field types, nullability, defaults, and constraints"],"categories":["memory-knowledge","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"prisma-mcp-server__cap_10","uri":"capability://data.processing.analysis.pagination.and.result.limiting","name":"pagination and result limiting","description":"Provides MCP tools for paginating large result sets using Prisma's 'skip' and 'take' parameters, enabling Claude to fetch records in chunks rather than loading entire result sets into memory. Supports cursor-based pagination for efficient offset-free iteration and includes metadata about total record counts, enabling agents to navigate large datasets without memory exhaustion.","intents":["I want Claude to fetch the first 10 users and then the next 10 without loading all users","I need an agent to paginate through large result sets efficiently","I want to display paginated results in a UI with next/previous navigation"],"best_for":["developers building LLM agents that query large datasets","teams creating paginated UIs powered by Claude","builders needing memory-efficient data fetching"],"limitations":["Offset-based pagination (skip/take) is inefficient for large offsets — cursor-based pagination is recommended but requires unique cursor fields","Total record count requires a separate count query — no built-in way to get count and paginated results atomically","Cursor-based pagination requires stable sort order — if sort order changes between requests, cursor position becomes invalid","Pagination metadata (total pages, has_next) requires additional queries — adds latency for each paginated request"],"requires":["Prisma 5.0+","Node.js 18+","Prisma schema with proper indexing on sort/cursor fields"],"input_types":["model name, where conditions, sort order, page size (take), and offset (skip) or cursor"],"output_types":["paginated records as JSON array","pagination metadata (total count, has_next_page, cursor for next page)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"prisma-mcp-server__cap_11","uri":"capability://data.processing.analysis.sorting.and.filtering.with.complex.conditions","name":"sorting and filtering with complex conditions","description":"Enables Claude to construct complex filter and sort conditions using Prisma's 'where' and 'orderBy' APIs, supporting nested filters on relations, logical operators (AND, OR, NOT), and multiple sort fields. Validates filter syntax against schema and provides detailed error messages when filter conditions are invalid, allowing agents to construct sophisticated queries without SQL knowledge.","intents":["I want Claude to find all users older than 18 with at least 5 posts","I need an agent to filter records by multiple conditions and sort by multiple fields","I want to construct complex queries with nested relation filters (e.g., 'users with posts from 2024')"],"best_for":["developers building search and filter features powered by Claude","teams creating advanced query interfaces without exposing SQL","builders needing flexible filtering without query builder complexity"],"limitations":["Filter complexity is limited by Prisma's 'where' syntax — very complex filters may require raw SQL","Nested relation filters can cause performance issues if relations are not indexed","Text search is limited to basic string matching — full-text search requires database-specific features","Filter validation is done at query time, not parse time — complex invalid filters may only error after database execution"],"requires":["Prisma 5.0+","Node.js 18+","Prisma schema with proper field types and relations"],"input_types":["model name, where conditions (filters), and orderBy fields (sort)"],"output_types":["filtered and sorted records as JSON","validation error if filter syntax is invalid"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"prisma-mcp-server__cap_12","uri":"capability://data.processing.analysis.raw.sql.execution.with.parameterized.queries","name":"raw sql execution with parameterized queries","description":"Provides an escape hatch for executing raw SQL queries through Prisma's 'queryRaw' and 'executeRaw' methods, enabling Claude to run queries that cannot be expressed through Prisma's API while maintaining parameterized query protection against SQL injection. Validates parameter types and escapes values automatically, allowing agents to execute complex SQL without manual escaping.","intents":["I want Claude to execute a complex SQL query that Prisma doesn't support","I need an agent to run database-specific features (window functions, CTEs, etc.)","I want raw SQL execution with automatic SQL injection protection"],"best_for":["developers needing advanced SQL features not covered by Prisma's API","teams with legacy SQL queries that need to be exposed to Claude","builders creating flexible query interfaces with SQL fallback"],"limitations":["Raw SQL is database-specific — queries written for PostgreSQL may not work on MySQL","No type safety — results are returned as untyped JSON, requiring manual type casting","Parameter validation is limited to type checking — complex validation logic must be implemented separately","SQL injection protection relies on proper parameterization — agents must use parameter placeholders, not string concatenation","Query performance is not optimized — agents must write efficient SQL manually"],"requires":["Prisma 5.0+","Node.js 18+","DATABASE_URL with appropriate permissions","Knowledge of target database SQL dialect"],"input_types":["SQL query string with parameter placeholders (?)","parameter values to substitute into placeholders"],"output_types":["raw query results as JSON","error if SQL syntax is invalid or parameters don't match placeholders"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"prisma-mcp-server__cap_2","uri":"capability://automation.workflow.migration.execution.and.database.state.management","name":"migration execution and database state management","description":"Exposes Prisma migration commands through MCP tools, allowing Claude and agents to trigger database migrations, check migration status, and manage database schema evolution. Wraps Prisma's migration engine to safely execute pending migrations and report on applied/pending migration state, enabling LLM-driven database version control and schema synchronization workflows.","intents":["I want Claude to apply pending migrations to sync the database schema with the latest Prisma schema","I need an agent to check if migrations are pending and report database state","I want to automate schema deployment as part of an LLM-driven deployment workflow"],"best_for":["teams automating database deployments in CI/CD pipelines with LLM orchestration","developers building self-healing database systems that auto-migrate on schema changes","builders creating multi-environment database management tools"],"limitations":["Migration execution is sequential and blocking — cannot parallelize migrations across databases","No rollback capability through MCP — rollbacks require manual Prisma CLI invocation or custom scripts","Migrations must be pre-created via Prisma CLI — MCP cannot generate new migrations from schema changes","Migration execution requires write access to database and migrations directory — security risk if exposed to untrusted agents"],"requires":["Prisma 5.0+ with migrations directory (prisma/migrations/)","Node.js 18+","DATABASE_URL with write permissions","Migration files pre-generated via 'prisma migrate dev' or 'prisma migrate deploy'"],"input_types":["none — migration execution is triggered by tool invocation without parameters"],"output_types":["migration execution status (success/failure)","list of applied migrations","list of pending migrations"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"prisma-mcp-server__cap_3","uri":"capability://tool.use.integration.multi.database.connection.management","name":"multi-database connection management","description":"Manages connections to multiple Prisma databases simultaneously through a single MCP server instance, supporting Prisma's multi-database feature where different models can target different databases. Routes queries to the correct database based on model configuration in the Prisma schema, enabling agents to query across multiple databases transparently without connection management overhead.","intents":["I want Claude to query data from multiple databases in a single workflow without managing separate connections","I need an agent to join or correlate data across databases that are managed by different Prisma clients","I want to expose a microservices database architecture through a single MCP interface"],"best_for":["teams with polyglot database architectures (PostgreSQL + MongoDB, etc.)","developers building multi-tenant systems with per-tenant databases","builders creating data federation layers across multiple database instances"],"limitations":["Cross-database joins are not supported — must be handled in application logic after fetching from each database","Transaction support is limited to single-database transactions — distributed transactions across databases require manual coordination","Connection pooling is per-database — total connection count scales with number of databases, potentially exhausting connection limits","Schema introspection must be performed per-database — no unified schema view across all databases"],"requires":["Prisma 5.0+ with multi-database configuration in schema","Multiple DATABASE_URL environment variables (one per database)","Node.js 18+","Support for all target database types (PostgreSQL, MySQL, SQLite, MongoDB, etc.)"],"input_types":["model name and query parameters (server routes to correct database based on schema)"],"output_types":["JSON-serialized records from target database","error if model is not found or database is unreachable"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"prisma-mcp-server__cap_4","uri":"capability://safety.moderation.type.safe.query.parameter.validation","name":"type-safe query parameter validation","description":"Validates query parameters against Prisma's generated type definitions before execution, preventing invalid queries and providing detailed error messages when parameters don't match schema constraints. Uses Prisma Client's TypeScript types to enforce field existence, type correctness, and relation validity at the MCP tool level, catching errors before database execution and reducing round-trips.","intents":["I want Claude to receive immediate feedback when it constructs an invalid query instead of getting a database error","I need parameter validation to prevent malformed queries from reaching the database","I want detailed error messages that help Claude understand what fields/types are valid"],"best_for":["teams building production LLM agents where query correctness is critical","developers who want to reduce database load from invalid queries","builders creating user-facing LLM interfaces where error clarity matters"],"limitations":["Validation is limited to Prisma Client's type system — complex business logic validation must be implemented separately","Error messages are technical and may not be user-friendly without custom formatting","Validation adds ~10-50ms latency per query depending on schema complexity","No custom validation rules — only Prisma's built-in constraints (nullability, type, relation existence)"],"requires":["Prisma 5.0+ with TypeScript type generation","Node.js 18+","Prisma schema with proper field types and constraints defined"],"input_types":["structured tool parameters matching Prisma Client method signatures"],"output_types":["validation success (query proceeds) or validation error with field/type details"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"prisma-mcp-server__cap_5","uri":"capability://data.processing.analysis.relation.aware.query.construction","name":"relation-aware query construction","description":"Enables querying related records through Prisma's relation API, allowing Claude to construct queries that include nested relations (e.g., 'get user with all posts and comments'). Exposes Prisma's 'include' and 'select' capabilities through MCP tools, enabling agents to fetch related data in a single query rather than multiple round-trips, with automatic type validation of relation paths.","intents":["I want Claude to fetch a user and all their related posts in a single query","I need an agent to construct nested queries that include multiple levels of relations","I want to optimize database queries by fetching related data eagerly rather than with N+1 queries"],"best_for":["developers building efficient LLM agents that minimize database round-trips","teams with complex relational schemas where nested queries are common","builders creating data-heavy LLM applications where query optimization matters"],"limitations":["Relation depth is limited by Prisma's query complexity — deeply nested relations (5+ levels) may hit performance limits","Circular relations must be handled carefully — including both sides of a many-to-many relation can cause infinite loops","Relation filtering is limited to Prisma's 'where' syntax — complex relation-based filtering requires custom logic","Large relation result sets can cause memory issues — no built-in pagination for nested relations"],"requires":["Prisma 5.0+ with relations defined in schema","Node.js 18+","Prisma schema with proper relation definitions (one-to-many, many-to-many, etc.)"],"input_types":["model name, where conditions, and relation paths to include/select"],"output_types":["JSON-serialized records with nested related records","structured data matching Prisma's relation response types"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"prisma-mcp-server__cap_6","uri":"capability://data.processing.analysis.aggregation.and.count.queries","name":"aggregation and count queries","description":"Provides MCP tools for Prisma's aggregation API, enabling Claude to compute counts, sums, averages, and other aggregates across records matching filter conditions. Wraps Prisma's 'count', 'aggregate', and 'groupBy' methods to expose statistical queries without requiring raw SQL, with automatic type validation and result formatting.","intents":["I want Claude to count records matching a condition (e.g., 'how many active users')","I need an agent to compute statistics like average order value or total revenue","I want to group records and compute aggregates per group (e.g., 'sales by region')"],"best_for":["developers building analytics-driven LLM agents","teams creating dashboards or reporting features powered by Claude","builders needing statistical queries without exposing raw SQL"],"limitations":["Aggregation is limited to Prisma's built-in functions (count, sum, avg, min, max) — custom aggregates require raw SQL","GroupBy results are not paginated — large group result sets are returned in full","Aggregation performance depends on database indexes — unindexed columns can cause slow queries","No support for window functions or advanced SQL analytics — complex statistical queries require raw SQL"],"requires":["Prisma 5.0+","Node.js 18+","Prisma schema with numeric or countable fields"],"input_types":["model name, where conditions, aggregation function (count/sum/avg/min/max), and optional groupBy fields"],"output_types":["numeric aggregation results (count, sum, average, etc.)","grouped aggregation results with group key and aggregate values"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"prisma-mcp-server__cap_7","uri":"capability://data.processing.analysis.create.and.update.operations.with.validation","name":"create and update operations with validation","description":"Exposes Prisma's 'create' and 'update' methods through MCP tools, enabling Claude to insert and modify records with automatic validation against schema constraints (required fields, type validation, unique constraints). Validates input data before database execution and provides detailed error messages when constraints are violated, supporting both single-record and batch operations.","intents":["I want Claude to create new records in the database based on user input","I need an agent to update existing records with validation before database execution","I want to batch create or update multiple records in a single operation"],"best_for":["developers building LLM agents that modify data (not just read)","teams creating AI-powered CRUD interfaces","builders needing safe write operations with constraint validation"],"limitations":["Batch operations are not atomic — if one record fails, others may still be created/updated","Unique constraint violations are caught after database execution, not before — can cause partial updates","No support for custom validation logic — only Prisma's built-in constraints","Write operations require database permissions — security risk if exposed to untrusted agents without access control","No audit logging built-in — must be implemented separately if tracking changes is required"],"requires":["Prisma 5.0+","Node.js 18+","DATABASE_URL with write permissions","Prisma schema with proper field constraints (required, unique, etc.)"],"input_types":["model name and record data (fields to create/update)","where conditions for update operations"],"output_types":["created/updated record as JSON","validation error with field details if constraints are violated"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"prisma-mcp-server__cap_8","uri":"capability://data.processing.analysis.delete.operations.with.cascade.handling","name":"delete operations with cascade handling","description":"Exposes Prisma's 'delete' and 'deleteMany' methods through MCP tools, enabling Claude to remove records with automatic handling of cascade delete rules defined in the schema. Validates delete conditions before execution and reports on cascade effects (e.g., 'deleting this user will also delete 5 posts'), allowing agents to understand deletion consequences before committing.","intents":["I want Claude to delete records matching a condition","I need an agent to understand cascade delete effects before executing a deletion","I want safe deletion with validation to prevent accidental data loss"],"best_for":["developers building LLM agents with data management capabilities","teams creating AI-powered admin interfaces with delete functionality","builders needing safe deletion with cascade awareness"],"limitations":["Cascade delete effects are not pre-computed — agent cannot see what will be deleted before execution","Batch deletes are not atomic — if one record fails, others may still be deleted","No soft delete support — only hard deletes, requiring separate implementation if soft deletes are needed","Delete operations require database permissions — security risk if exposed to untrusted agents","No undo capability — deleted records cannot be recovered without database backups"],"requires":["Prisma 5.0+","Node.js 18+","DATABASE_URL with write permissions","Prisma schema with proper cascade delete rules defined"],"input_types":["model name and where conditions to identify records to delete"],"output_types":["count of deleted records","error if deletion violates constraints (e.g., foreign key references)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"prisma-mcp-server__cap_9","uri":"capability://automation.workflow.transaction.support.for.multi.step.operations","name":"transaction support for multi-step operations","description":"Enables Claude to execute multiple database operations (create, update, delete, query) within a single transaction through Prisma's transaction API, ensuring atomicity and consistency. Wraps Prisma's 'transaction' method to allow agents to group related operations and either commit all changes or rollback if any operation fails, preventing partial updates and data inconsistency.","intents":["I want Claude to transfer funds between accounts atomically (debit one, credit another)","I need an agent to create a user and related records in a single transaction","I want to ensure that if any operation in a workflow fails, all changes are rolled back"],"best_for":["developers building financial or payment LLM agents where atomicity is critical","teams creating complex multi-step workflows that require consistency guarantees","builders needing ACID compliance for data modifications"],"limitations":["Transaction timeout is database-dependent — long-running transactions may timeout","Nested transactions are not supported — only top-level transactions","Deadlock handling is automatic but can cause transaction retries, adding latency","Transaction isolation level is 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