RationalBloks MCP Server
Enables AI agents to deploy production APIs from JSON schemas, with 44 tools for managing projects, schemas, deployments, and graph data.
README
RationalBloks MCP Server
Deploy production APIs in minutes. 44 tools for projects, schemas, deployments, and graph data.
What Is This?
RationalBloks MCP lets AI agents (Claude, Cursor, etc.) deploy production APIs from a JSON schema. No backend code to write. No infrastructure to manage.
"Create a task management API with tasks, projects, and users"
→ 2 minutes later: Production API running on Kubernetes
Installation
pip install rationalbloks-mcp
Quick Start
1. Get Your API Key
Visit rationalbloks.com/settings and create an API key.
2. Configure Your AI Agent
VS Code / Cursor - Add to settings.json:
{
"mcp.servers": {
"rationalbloks": {
"command": "rationalbloks-mcp",
"env": {
"RATIONALBLOKS_API_KEY": "rb_sk_your_key_here"
}
}
}
}
Claude Desktop - Add to claude_desktop_config.json:
{
"mcpServers": {
"rationalbloks": {
"command": "rationalbloks-mcp",
"env": {
"RATIONALBLOKS_API_KEY": "rb_sk_your_key_here"
}
}
}
}
44 Tools
Relational Read Operations (11 tools)
| Tool | Description |
|---|---|
list_projects |
List all your projects |
get_project |
Get project details |
get_schema |
Get current JSON schema |
get_user_info |
Get authenticated user info |
get_job_status |
Check deployment job status |
get_project_info |
Detailed project info with K8s status |
get_version_history |
Git commit history |
get_template_schemas |
Pre-built schema templates |
get_subscription_status |
Plan and usage limits |
get_project_usage |
CPU/memory metrics |
get_schema_at_version |
Schema at specific commit |
Relational Write Operations (7 tools)
| Tool | Description |
|---|---|
create_project |
Create new project from schema |
update_schema |
Update project schema |
deploy_staging |
Deploy to staging environment |
deploy_production |
Deploy to production |
delete_project |
Delete project permanently |
rollback_project |
Rollback to previous version |
rename_project |
Rename project |
Graph Schema Operations (11 tools)
| Tool | Description |
|---|---|
get_graph_schema |
Get graph project schema |
get_graph_template_schemas |
Pre-built graph schema templates |
get_graph_version_history |
Graph schema version history |
get_graph_schema_at_version |
Schema at specific version |
get_graph_project_info |
Graph project info with K8s/Neo4j status |
create_graph_project |
Create Neo4j graph project |
update_graph_schema |
Update graph schema |
deploy_graph_staging |
Deploy graph to staging |
deploy_graph_production |
Deploy graph to production |
delete_graph_project |
Delete graph project |
rollback_graph_project |
Rollback graph to previous version |
Graph Data Operations (15 tools)
| Tool | Description |
|---|---|
create_graph_node |
Create a single node |
get_graph_node |
Get node by ID |
list_graph_nodes |
List nodes by entity type |
update_graph_node |
Update node properties |
delete_graph_node |
Delete a node |
create_graph_relationship |
Create a relationship |
get_node_relationships |
Get node's relationships |
delete_graph_relationship |
Delete a relationship |
bulk_create_graph_nodes |
Bulk create nodes |
bulk_create_graph_relationships |
Bulk create relationships |
search_graph_nodes |
Search nodes by property filters |
fulltext_search_graph |
Full-text search across all fields |
traverse_graph |
Traverse graph from a node |
get_graph_statistics |
Get graph statistics (counts) |
get_graph_data_schema |
Get deployed data schema |
Schema Format
Schemas must be in FLAT format:
{
"tasks": {
"title": {"type": "string", "max_length": 200, "required": true},
"status": {"type": "string", "max_length": 50, "enum": ["pending", "done"]},
"due_date": {"type": "date", "required": false}
},
"projects": {
"name": {"type": "string", "max_length": 100, "required": true}
}
}
Field Types
| Type | Required Properties |
|---|---|
string |
max_length |
text |
None |
integer |
None |
decimal |
precision, scale |
boolean |
None |
uuid |
None |
date |
None |
datetime |
None |
json |
None |
Auto-Generated Fields
These are automatic - don't define them:
id(UUID primary key)created_at(datetime)updated_at(datetime)
User Authentication
Use the built-in app_users table:
{
"employee_profiles": {
"user_id": {"type": "uuid", "foreign_key": "app_users.id", "required": true},
"department": {"type": "string", "max_length": 100}
}
}
Frontend
For frontend development, use our NPM packages:
npm install @rationalbloks/frontblok-auth @rationalbloks/frontblok-crud
These provide:
- frontblok-auth: Authentication, login, tokens, user context
- frontblok-crud: Generic CRUD via
getApi().getAll(),getApi().create(), etc.
Environment Variables
| Variable | Description | Default |
|---|---|---|
RATIONALBLOKS_API_KEY |
Your API key (required) | - |
RATIONALBLOKS_TIMEOUT |
Request timeout (seconds) | 30 |
RATIONALBLOKS_LOG_LEVEL |
Log level | INFO |
Support
- Documentation: rationalbloks.com/docs
- Email: support@rationalbloks.com
License
Proprietary - Copyright 2026 RationalBloks. All Rights Reserved.
<!-- mcp-name: io.github.rationalbloks/rationalbloks-mcp -->
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.