GenLayer MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_intelligent_contractB | Generate a comprehensive GenLayer Intelligent Contract with advanced features including LLM integration, web data access, and proper GenLayer syntax |
| add_equivalence_principleC | Add Equivalence Principle validation to a contract method for handling non-deterministic operations |
| create_vector_storeB | Create a GenLayer Vector Store contract for semantic search capabilities |
| add_web_data_accessB | Add web data access capabilities to an existing contract |
| create_prediction_marketB | Create an advanced prediction market contract with AI-powered resolution using multiple web sources and sophisticated betting mechanisms |
| generate_contract_templateB | Generate a contract from predefined templates for common use cases like DAO governance, content moderation, or sentiment tracking |
| explain_genlayer_conceptsB | Get detailed explanations of GenLayer concepts, features, and best practices for Intelligent Contract development |
| explain_genlayer_typesA | Get comprehensive explanations and examples of GenLayer's type system including primitive types, collection types, storage restrictions, and best practices |
| explain_storage_patternsB | Explain GenLayer storage patterns, persistent data handling, TreeMap/DynArray usage, and storage optimization techniques |
| generate_deployment_scriptB | Generate deployment scripts for GenLayer contracts supporting different networks (localnet, studionet, testnet) with configuration options |
| generate_debugging_guideB | Generate debugging strategies and tools for GenLayer contracts including logging, error handling, and testing approaches |
| generate_genlayerjs_integrationC | Generate GenLayerJS integration code for frontend applications including contract interaction, transaction handling, and event monitoring |
| generate_contract_interaction_examplesB | Generate examples for reading from and writing to GenLayer contracts using various methods (CLI, GenLayerJS, Python SDK) |
| generate_testing_frameworkC | Generate comprehensive testing setups for GenLayer contracts including unit tests, integration tests, and end-to-end testing strategies |
| generate_project_boilerplateB | Generate a complete GenLayer project structure with contracts, tests, deployment scripts, and frontend integration |
| fetch_latest_api_docsA | Fetch the latest GenLayer API documentation from the official source. Use this to get up-to-date information about GenLayer types, decorators, web access methods, LLM integration, consensus mechanisms, and more. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 16 tools
Each tool targets a distinct aspect of GenLayer development: adding specific features, creating specific contract types, generating code/documentation, or explaining concepts. There is no overlap between tools like `generate_intelligent_contract` and `generate_contract_template` as they differ in scope and output.
All tool names follow a consistent `verb_noun` pattern in snake_case (e.g., `create_prediction_market`, `generate_deployment_script`). The verbs are appropriate and uniform, making the set predictable and easy to navigate.
With 16 tools, the server covers the full development lifecycle for GenLayer contracts—creation, modification, learning, documentation, deployment, testing, and integration—without being overwhelming or sparse.
The tool surface addresses all key stages of contract development: creating contracts (templates, intelligent contracts), adding features, learning concepts, obtaining docs, generating deployment/testing/integration code, and debugging. No obvious gaps exist for the stated purpose.