Prisma MCP Server

Translates natural language queries into Prisma Client operations by introspecting the database schema and generating type-safe queries. The MCP server exposes the Prisma schema as context to LLM clients, enabling them to construct valid queries against the actual database structure without manual schema documentation. Queries are executed through the Prisma Client runtime, ensuring type safety and ORM-level abstractions.

Exposes Prisma Client methods as MCP tools with JSON schema definitions, enabling LLM clients to call database operations (findUnique, findMany, create, update, delete) with full type safety. The server marshals arguments from the LLM into Prisma Client calls, handles errors, and returns structured JSON results. This pattern leverages MCP's tool-calling protocol to bridge LLM reasoning with ORM-level database operations.

Exposes Prisma enum types and custom scalar types defined in the schema as MCP tool parameters, enabling LLM clients to construct queries using type-safe enum values. The server validates enum arguments against the schema definition and translates them into appropriate database values. This pattern ensures type safety for categorical data.

Parses the Prisma schema.prisma file and exposes comprehensive metadata about tables, fields, relations, and constraints as MCP tool outputs. The server reads the schema at startup and makes it available for LLM clients to inspect without executing queries. This enables LLMs to understand the data model before constructing operations, reducing invalid query attempts.

Exposes Prisma migration commands (prisma migrate deploy, prisma migrate dev, prisma migrate reset) as MCP tools, allowing LLM clients to trigger schema changes and apply pending migrations. The server wraps the Prisma CLI migration logic, capturing output and status, and returns results to the client. This enables autonomous database schema evolution workflows.

Enables LLM clients to construct Prisma queries with nested includes and selects, allowing fetching related records in a single operation. The MCP server translates nested query specifications into Prisma Client include/select syntax, executing optimized queries that fetch related data without N+1 query problems. This pattern leverages Prisma's relation loading capabilities to reduce round-trips.

Provides MCP tools for wrapping multiple database operations in Prisma transactions, ensuring ACID guarantees across multiple mutations. The server accepts a sequence of operations and executes them within a single transaction context, rolling back all changes if any operation fails. This pattern enables atomic multi-step workflows.

Provides an MCP tool for executing raw SQL queries through Prisma's $queryRaw and $executeRaw methods, with support for parameterized queries to prevent SQL injection. The server accepts SQL templates and parameters, executes them safely through Prisma's query engine, and returns results as JSON. This enables LLM clients to perform database operations not expressible through Prisma's type-safe API.

Exposes Prisma's batch operations (createMany, updateMany, deleteMany) as MCP tools, enabling LLM clients to perform bulk mutations on multiple records in a single operation. The server accepts arrays of records or filter conditions and executes them through Prisma's batch APIs, returning counts of affected records. This pattern reduces database round-trips for bulk operations.

Manages Prisma Client connection pooling and lifecycle within the MCP server process, ensuring efficient database connection reuse across multiple LLM client requests. The server maintains a single Prisma Client instance with configured pool size, handling connection acquisition, release, and timeout management transparently. This pattern prevents connection exhaustion and ensures resource efficiency.

Captures and translates Prisma Client errors (constraint violations, type mismatches, relation errors) into human-readable error messages for LLM clients. The server intercepts Prisma exceptions, extracts relevant context (field names, constraint types, relation information), and returns structured error responses. This enables LLM clients to understand and recover from database operation failures.