Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/kpritam/gremlin-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/kpritam/gremlin-mcp/01-context)<a href="https://agentmods.dev/rules/kpritam/gremlin-mcp/01-context"><img src="https://agentmods.dev/badge/rules/kpritam/gremlin-mcp/01-context/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/rules/kpritam/gremlin-mcp/01-context"><img src="https://agentmods.dev/badge/rules/kpritam/gremlin-mcp/01-context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01691 | $0.01691 |
| Opus 5.5 | $0.00676 | $0.00676 |
| Sonnet 5.5 | $0.00338 | $0.00338 |
| Haiku 4.5 | $0.00169 | $0.00169 |
Grade A, and why
01-context scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Overview
This is a TypeScript-based MCP (Model Context Protocol) server that enables AI agents to interact with Gremlin-compatible graph databases. The server provides 6 tools and 2 resources for comprehensive graph database operations.
Implementation Status: This project is fully implemented using Effect.ts functional programming patterns throughout.
Architecture
Core Components
- server.ts - Effect-based MCP server with graceful startup/shutdown using Effect composition
- gremlin/service.ts - Effect-based Gremlin service with Context.Tag service pattern
- gremlin/schema-service.ts - Effect-based schema management with dependency injection
- config.ts - Effect.Config-based configuration validation (no backward compatibility)
- handlers/ - Effect-based modular MCP request handlers with service injection
- utils/ - Effect-based utility modules with composable operations
Available Tools
get_graph_status- Check database connection statusget_graph_schema- Get complete schema with vertex/edge labels and relationship patternsrun_gremlin_query- Execute any Gremlin traversal queryrefresh_schema_cache- Force immediate refresh of cached schemaimport_graph_data- Import data from GraphSON or CSV formats with batch processingexport_subgraph- Export subgraph data to JSON, GraphSON, or CSV formats
Available Resources
gremlin://status- Real-time connection statusgremlin://schema- Cached schema information (JSON format)
Development Rules
MUST Follow RULES.md
Always follow the development rules in RULES.md - these are mandatory for all code changes, testing, security, and architecture decisions.
Code Standards
- Use TypeScript with strict type checking
- Follow ESLint and Prettier configurations
- Use Effect.ts functional programming patterns throughout
- Use Zod for runtime validation with Effect.Config
- Implement Effect-based error handling with custom error types
- Write tests for all new functionality using Effect testing patterns
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 214 lines · 1,691 tokens per session scan A a538c24a46ab
01-context is a cursor rule published in the GitHub repository kpritam/gremlin-mcp (9 stars, last pushed 1y ago), licensed MIT. It adds 1,691 tokens to every session, about $0.0068 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other cursor rules, from other repositories
as-contract-cast-smell
// ❌ WRONG — bypasses the family ContractSerializer seam const contract = JSON.parse(raw) as Contract; const contract = JSON.parse(raw) as Contract .
no-backward-compatibility
Do not add backward-compatibility shims or migration scaffolding.
postgresql
This guide defines the definitive best practices for writing clean, performant, and maintainable PostgreSQL SQL, focusing on modern conventions and avoiding common pitfalls.
ehs-ims-conventions
EHS IMS app — RBAC, data layer, tRPC, migrations, AI boundaries.
sync-timedb-archive-janitor-contract
Day-close / cold-path worker contracts for synctimedb (A invariants; B tick coordinator retired).
schema
Scalable and secure schema design patterns for relational databases, NoSQL, and APIs. / TR: İlişkisel veri tabanları, NoSQL ve API'ler için ölçeklenebilir ve güvenli şema tasarım kalıpları.